Artificial Intelligence Innovation Summit by The SolutionPeople Network (TSPN)

We meet on the third Thursday of every month and usually have a large audience. Our website is artificial intelligence.com. Our summits are sponsored by two groups: the artificial intelligence.org, which has over a million people, and the Solution People Network.

I'm very pleased that we have a diverse group of people with us today. They're part of my personal network as well as the Solution People Network. The name of our company is called TPN, otherwise known as the Solution People Network, and we are home of the Artificial Intelligence Innovators.org and the Artificial Intelligence Innovation Summits.

As you can see, my nickname is Solution Man. You can search for Solution Man on LinkedIn and find me. Feel welcome to follow me. My mission in life is to inspire artificial intelligence and innovation to improve our world. And I'm happy to report that we have people from over 100 countries with us today.

I'd love for you to introduce yourself in the chat right now. Put your name in the chat. Put your LinkedIn profile in the chat. And I also invite you to join our Artificial Intelligence Innovators Summit that is held on October 16th. So be prepared for that.

Our LinkedIn group has high engagement and lots of interaction. LinkedIn has recommended it as one of the highest-rated groups on LinkedIn. Today, according to LinkedIn, we've got over 40,000, actually 40,100 people. You can get to know each other by putting your LinkedIn profile in the chat. Post your name and your LinkedIn profile URL in the Zoom chat now.

Keep in mind that we will have hundreds and thousands of people joining us on YouTube and on LinkedIn. We are live-streaming this to a large audience. We're going to meet for three hours. Our summits are on the third Thursday. We have five speakers today. They'll use 20 slides in 15 minutes. The format is inspired by PechaKucha, which is a Japanese presentation process of using 20 slides and TED Talks.

We're going to have one AI showcase speaker from our sponsor, Microsoft. Philip is going to speak for 30 minutes. Then, at the very end, we're going to be doing some speed networking for 45 minutes where all of you get to network with each other. Join in what we call Network on Zoom. If you go to the website networkonzoom.com, you can register. It's a separate link, and we use it today.

Now, we take a look at our speakers. We have six sponsored guest speakers today: Philip, Garrett, Melissa, Rogan, David, and Marquesa. I'd like to introduce each of them. We're going to put their profiles up on the screen so you can see who they are.

Our first speaker is Philip Limour. He's with Microsoft, and his presentation is entitled "Agentic Intelligence: Reinventing the Enterprise Operating Model." So, there it is from Philip. After Philip, we have Garrett Rice, CEO of Callings AI, and he's going to talk about the modern job hunt. You're in for a real treat because I've seen his slides, and they're very thought-provoking.

Our third speaker is Melissa Sierra. She's a certified business coach and executive coach, and her title of her presentation is "Beyond Impressions: The AI and Coaching Edge in Media Strategy Leadership." I'm looking forward to that one. And then we have Rogan Robert, who's joining us from London. We have several speakers from Europe today.

Then we'll have David Palmer. David is a PowerPoint Vodafone leader. He's a visionary and an innovator, and he's going to talk about how important machines, data, and blockchain are to the entire AI economy. And then our last speaker is affectionately known as the Zoom Queen by Pete. She's going to talk about "Zoom Like a Boss" to give you some great strategies and so forth.

So that is a lineup that we have a huge audience for. Say hello to those of you on LinkedIn. Now, as we get ready to go to the first speaker for a half hour, we're going to listen to Philip. Thank you, Gerald. Philip, if you want to share your screen, I'm going to stop sharing my screen, and we'd love to hear from you. Philip, yes. Can you hear me? Joining us from France. Can you see my screen and hear me clear and loud? Hello. Yeah, everything's perfect. Okay.

So, good morning, good afternoon, or good evening, everyone. I'm Philip Lemon. I'm a member of the executive board at Microsoft France, helping our customers and partners navigate in the complex environments of technologies and cybersecurity. I hope you'll get some inspiration tonight. I will share some insights in what we call becoming a frontier firm in AI, especially looking at the value that agentic intelligence can bring to help you reinvent your operating model. Yes, I can hear you. Yes.

So, AI is reshaping our world, and we do think it's creating a whole new economy. What would good or bad look like if AI were to achieve or accelerate your business goals and objectives? We've seen the same transformations in the past. We think that AI is creating a new economy, as the printing press created a whole new economy, allowing to disseminate information, knowledge, creating new business services, new jobs all over the world. We've seen that also with the invention of electrification, which again created a whole new economy, revolutionizing the world as we know it today. And technology drives GDP growth, and we know that it's accelerating at an exponential way.

Within Microsoft, we use AI to fulfill our mission, which is empowering every person and every organization on the planet to achieve more. Hi Philip, just to confirm, are you presenting your screen? Are you sharing, I mean? I think others are not able to see your slides. I'm sharing. Should I share again? Yeah, please share again, Philip. Okay. Can you see it now? Yes, that's perfect. Thank you.

Quickly go back. Yeah. So, AI is really creating a new economy, as you see, as we saw with the printing press in the 1400s, with electrification later on, and it's now accelerating. We've seen that through the invention of computers and mobility, mobile phones, internet. AI is really now reshaping everything we know and creating business value.

The iPhone isn't just getting cheaper, better; it's cheaper. Over the past two years, costs have dropped 90%. Performance is up 2.7 times. The first key disruption that generative AI brings is removing the user interface barrier. Think about the keyboard. The QWERTY keyboard was invented in 1868. The mouse in 1964. The first graphical user interface came up in 1973. And until now, humans had to adapt to those complex user interfaces, navigating in menus, submenus, clicks, double clicks, different keyboards.

Now, generative AI brings a new natural language interface. More and more, we are using the voice as the main channel. We can speak in any language, make us understood by the AI. This is decoupling functional capabilities from complex software interfaces. So, the first disruption is really think about in your job descriptions when you hire someone. Half of it is about functional business capabilities, and half of it is, "Okay, you should know this solution, this service, this user interface." Now, with AI and with this new way of talking to machines, you can focus on business and functional capabilities. So, you need someone to reinvent your supply chain; you don't need that person to know the kind of user interface that your ERP is exposing. It also allows to open more jobs internally to navigate within the organization, move without having to spend weeks or months of heavy and costly trainings to know how to use those complex interfaces. So, that's really bringing personal and business productivity. And we've seen that.

So, these are examples of figures that we captured a year ago. So, actually, these are September 2024 figures. So, early impact in any function, and we see that now in any industry, any geography, any size of company, any function can get value. So, the first level is really to bring value at the personal level. We've seen our customer service agents being faster and resolving cases. We've seen our sellers increasing by almost 10% their revenue per sale. And it's just increasing every day and every week, and it's applying to all business processes. So, we are working together with our customers and partners to transforming industries and business functions in all areas.

So, we've pulled together a framework for success in our journey. We are customer zero. We are drinking our champagne. And the first step is spreading experience so that people can see the benefits of AI at their own level, bringing value, doing better jobs, spending less time in administrative tasks and boring tasks. The second level is, and what we've seen is that most of our customers and partners start by reinventing the customer engagement. That's what we did in our inside sales organization, bringing AI agents to human agents in contact centers and leveling up all the metrics, all the KPIs: first-time resolution when the call arrives, raising upsell and cross-sell, customer satisfaction, and human satisfaction. The human agent in the contact center, not having to read scripts, but really being able to advise the customers because the agents bring all the knowledge, the information, the cases, the way to solve issues, and the way to bring value to the customer.

The next step is thinking about reshaping the business processes, and being a frontier is really bending the curve in innovation and daring to reinvent the way you work. So, AI is creating a new economy, but we've seen in the past that adapting processes to capture this value can be a challenge. If you look at the paper written in April 1968 by a man called Melvin Conway, he went to different executive committees asking simple questions, you know, "How do you invent?" So, he wrote a paper called "How Do Committees Invent?" And what he found was that organizations are designing systems that mirror their own communication structure. And that means also that your information system architecture and your operating model are interlocked. And others looked at what he found and found that it was true wherever they looked at it. So, it became Conway's Law.

But generative AI agents are game-changers. So, that's the second disruption because think about the interlocking that holds you back. When you want to adapt your business processes, you have to update your information system. When you update your information system, you bring a new ERP or CRM or system of records, then you have to adapt the way your people work because of this Conway Law. But AI agents make it possible for the first time ever to break that Conway Law. It allows you to set you free. So, why? Because not only do those AI agents bring natural language interface, but it's even easier for them to talk to your information system components than to talk to you. So, we have standards now, like the MCP protocol, allowing agents to surface the legacy environment. So, because they have orchestration, reasoning, planning capabilities, they can understand you and get data from your information system, put data back. We have a "know your customer" agent, for example, which automatically allows to put high-quality data back into the CRM whenever we have a conversation with a customer. So, it allows you, for the first time, to adapt, update, reinvent the way you work, your business processes, your way you operate, without having to touch the legacy system. I think that's the main value that AI agents are bringing: breaking Conway's Law for the first time. So, you can start by reinventing the way you work, updating, increasing the value, and then when it works, you can start looking at your information system and decommissioning legacy components which are not used. And since we have logs, we know exactly which parts of the information systems are really used by the agents. So, you can have metrics to understand which components are heavily used and which components can be dismissed, saving cost and recurring costs. That's what we did on our contact centers and what we do for every piece of business process now.

So, we came with that kind of vision of humans talking with the agents. It's like, you know, when you enter a complex environment, you look for a single point of contact. So, the agent is your single point of contact, and you are co-working. That's what we call a copilot approach. And then you have agents and orchestrators managing the complexity. They are the friends of your agent who is communicating with you to surface the complex legacy environment, do the clicks and the menus, and some menus you don't have to do anymore. So, data will be much more important than ever, and transforming data to trusted knowledge will become essential. And AI, of course, is a good use for transforming data to trusted knowledge.

Let me bring a first video showing you an example which we made a couple of years ago already, going from borrowing to chatting, reinventing the consumer experience. So, this man is going to have an experience with a legacy web application, an internet application shopping, and he'll use his voice and the camera of his laptop. So, no need to know about the hierarchy of the menus in the interface.

All right, let me ask the agent here. Hey Seth, how's it going? What can I help you with today? I am fantastic. I'm sorry I am in such a hurry. I'm going to go on an overnight camping hike where we're camping all this. It's going to be dark, cold. Should I use these shoes? It's the mountains. It's probably going to be cold. Great. No worries. Let me take a look. Ah, those are the Trekstar hiking sandals. While they're fantastic for summer hikes and keeping your feet cool, they might not be the best choice for cold. Oh my goodness. So, okay. I'm sorry to interrupt you. Pick the best thing that I should use and can you just add it to my cart? Just one product? No worries. Let's go with the Trek Ready Hawking boots. They're durable, provide great ankle support, and most importantly, they'll keep your feet warm in the cold mountains. I'll add them to your cart now. Ready for checkout? I see that. Amazing.

So, you see, totally new experience. So, behind the scene, this man is conversing with a conversible agent through responsible AI services, and we embed that automatically in the whole Microsoft platform. Doing content filtering, ensuring that you are compliant with responsible AI regulations. And this conversible agent talks to a manager, and the manager has, in that case, three agents. An agent who is able to navigate in the legacy environment to look at product sheets, recognize the shoe that was shown on the camera, send back the information. Another agent looking at marketing rules and the CRM components, understanding that this customer has, I don't know, a six-person discount. So, it automatically adds that discount in the cart. Looking at marketing rules to ensure that the voice and the tone and the vocabulary is the one that you expect. Also, maybe knowing that this customer likes a brown product. So, the product which is presented will be brown, not red or green. And then you have an e-commerce agent who's talking to the legacy web application. And you see there that you can reinvent the process and upgrade it by adding new agent capabilities without having to touch the legacy environment. And whenever you want to change your CRM or your web components, you can do it seamlessly without interrupting and without disrupting this new exceptional experience.

So, the question you may ask yourself is, how do I get started? It starts with human ambition if you understand these two components: that voice and natural conversation is really removing the UI barrier, and that we can, for the first time, use agents to break Conway's Law and disrupt, innovate, change, update the business processes and operating model. Then it's about, you know, having a combination of humans and agents to work. So, it's about going from an organizational chart, breaking the silos, to what we call a work chart, where you work seamlessly across the old silos within the company, with your partners, your suppliers, your customers, and exchanging information, working seamlessly with your voice and with text, and using the safe and trusted components of your legacy information system. It's not that agents will do everything, but agents can again surface, orchestrate, and call those components instead of you having to do that.

So, we see in our journey, we see three levels of what we call the frontier firm or AI-first company. The first one, which most deployed a couple of years ago, Level 1, was humans with assistance, basically mostly doing search and phases, searching for information. Now, we have a deep research agent available in Copilot, which really leverages reasoning engines to do deep search and content creation. Then, you go to Level 2, which is human-led but with an agents team. So, say I have a team of agents. One is a "know your customer" agent, not only going to my CRM but looking at my emails, my Teams conversations, my documents, the way my corporation maybe engaged with that customer two weeks ago, the contracts, the products and services that the customer bought, the usage, because we get access to the telemetry and we know exactly which components were deployed. So, we can use that agent to bring a lot of value to the customer. Then maybe I have the deep researcher agent, maybe I have a project manager agent, and I'm working enhancing my task executions, starting to do cross-functional coordination.

Then, to Level 3, which is really the frontier firm level, it's AI orchestration. Agent-operated, human-directed. So, you control, but then you have an agent who talks to other agents, maybe in the background, maybe for a few minutes or few hours or few days in the future, doing complex tasks. And the next morning, you get the draft of the results, and you can interact and ask for updates, for modifications, or validate, and then send an automatic email, for example, to the customer with the new optimized proposal corresponding to the email the customer sent you the day before.

The first essential shift for becoming a frontier firm is preparing your workforce for this human-agent collaboration. It brings a new era in the human resources environment because, as I said, you can open up new jobs for people. You don't have to have them spend weeks or months training on user interfaces. You can directly train them on the value they will bring in your company. We use voice agents, for example, to do contextual training. So, instead of having, you know, old websites with quizzes, documents to read, then we are put in context. We started with cybersecurity. 20 minutes conversation with a customer. So, the AI agent is playing the customer. I'm talking to the customer through the phone, saying, after 30 seconds, I totally forgot that I was talking to an agent. I was really talking to a customer with challenging me, interrupting me, asking tough questions. And then, at the end, you get soft and hard metrics feedback to improve the way you are delivering value or pitching if you are a sales person.

It's not too far for that. Security compliance is of high importance. AI is radically transforming the effectiveness of cyberattacks. State-nation cyber activity now targets all sectors. We see with the introduction of generative AI, if you don't master, govern, deploy generative AI by your own people, they will bring their own AI solutions. There are tons of solutions on the market. So, we've seen rays of shadow AI, which brings the first concern of oversharing information. So, we use sensible labels which are available wherever you want in our products like Teams, Outlook, the agents, and the software development kits at all levels, and the data platform, so that even if 10 agents are working together, at the end, you know that the end result is a sensible content. It's internal only, for example, and then the solution automatically prevents copying and pasting that information to an external and authorized tool.

The second level is really protecting against data loss, but also insider risks. With AI, we see that the fakes targeting individuals are something like 150% more efficient than before using AI. So, attackers are using AI. The good news is that at the cyber defense, we are also using AI. We have a Copilot for security agents, for example, because time is key. So, all the best-of-breed components of security don't work anymore in the AI environment. You need a fully integrated solution to quickly discover, react, remediate on attacks, and there are more and more complex, and there are new surface attacks brought by AI components.

The last component is already governing AI to meet regulations and policies. For example, in Europe, we have the AI Act, which can provide fines up to 7% of the global turnover. So, of course, it's of high importance to comply with that. But also about deploying everywhere the responsible AI processes and methodology. And we started working on responsible AI eight years ago already at Microsoft in Microsoft Research. So, we have tons of documents, processes, tools to share, and we have and we are continuing to embed those processes in our solutions to automatically protect and ensure that you are compliant, and you get a unified portal to check for compliance wherever you are in the world.

That comes with strong commitments. So, in April, our president, Brad Smith, makes new commitments, especially in Europe, in Brussels. We are committed to meeting requirements with compliance tools everywhere in the world. We have engagements with global regulators, but also governments and national security agencies. We have a specific focus on Europe and digital sovereignty commitments because regulation is maybe tougher in Europe, for good. So, reinforcing our pledge to uphold privacy, cybersecurity, and digital resilience from the cloud to hybrid environments or air-gapped environments in some cases. We brought an internal program called SFI, Secure Future Initiative, which is our multi-year effort to embed security everywhere. Satan stated that security is our job number one before anything else. SFI is about including security by design, by default, like we introduced multifactor authentication by default everywhere, and in operations. So, controlling, providing you with metrics and logs and information insights combined with our threat intelligence information.

Lastly, I would like to share a last video to show you also how AI is really helping accelerating scientific discovery, showing the power of those agents in maybe contexts that you wouldn't have thought about before. So, last year, we helped a lab finding a new solid-state battery which is much more efficient and much more sustainable because we removed most of the lithium by sodium. And AI did that combined with researchers, but in a few months. Lately, we accelerated. We are innovating every day, bringing new innovation in our platform. So, we have a discovery platform for research. So, I will show you an example of what we exposed a few weeks ago. We needed a new coolant liquid for our data centers. And if you know, liquid coolants have PAS, so perpetual components that are impactful for the planet. So, we wanted to create a new liquid to cool the hardware without using water, but without PAS. And we did that in only three weeks. So, from what you'll see is a combination of agents. So, we'll start by, in natural language, stating the characteristics. So, I want a material. I want that material to be liquid. These are the characteristics: the way it consumes heat and temperature of use and boiling points. And the agents with deep research then go to patents and internal external scientific papers to build a plan. Then we have a chemistry agent which uses that plan to create molecules that would reflect those targeted characteristics, millions of them. Then we have other agents who perform computations and simulations to filter out those millions of candidates down to 10 or a couple of them. And then we use high-performance computing to finalize the finding. So, it took us only three weeks to find the new liquid cooling component without PAS, and only five weeks to actually synthesize this, thanks to AI also. So, I'll roll out the video now.

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So, that ends my talk. I hope it was of some inspiration and you got some feedbacks from our journey to being a customer zero in that frontier firm experience. It's a new world opening to us. I hope you will all embrace it, reinvent the way you work, and do what we do at Microsoft: empowering every person and every organization on the planet to achieve more. Thank you very much.

Thank you. Thank you, Philip. That was great to hear from you and thank you for spreading the word about all the great things that Microsoft is up to. And we have quite a few people from the Microsoft network that are tuning in today too. So, say hello to those Microsoft people. Hello, colleagues. And I encourage all of you to join Philip on Zoom and on LinkedIn. I put his chat contact information available for you so you can follow him. And I tell you what, I'm going to do right now for everyone is I'm going to put Philip's slides in the chat right now. So, if you want to download his entire set of slides, you can by using the PDF that I put in the chat for you.

And we have six speakers. Philip was the first speaker. Our next speaker for the Artificial Intelligence Innovation Summits is Garrett Rice. He's speaker number two, and he's CEO of Callings AI, and he's going to talk about the modern job hunt with AI. And he's an ex-Apple guy, so he knows how to communicate well. So, you're in for a great treat. Go ahead, Garrett.

Thanks, Gerald. And I put in a request to share my screen. I can start with some slides here. My name is Garrett Rice. As he mentioned, I'm with Callings.ai, and we are focused on helping people in the modern job hunt. So, you know, Philip talked about sort of the broad-based sort of story of AI. I'd like to focus you all today on one very specific use case and show you how AI can carry you through and make you more effective in that area.

So, first and foremost, I'd like to highlight for you what is going on in the job hunt these days. And so, the job hunt has changed dramatically just in the last five to seven years, and not for the better for most job seekers. So, here are a few of the characteristics of what's going on. One, there's no more geo-fencing. So, up until the pandemic, if you didn't live near the job, you weren't going to be a candidate for that job. Now, thanks to Zoom and remote and hybrid work, people are applying from everywhere across the world. So, you're competing globally now for every job. Application volumes have exploded for that reason and also because it's much easier now to submit applications. So, as a result, you're competing dramatically against dramatically more people than you used to.

Third, companies, because of that volume, are increasingly adding barriers like applicant tracking systems or HR systems that stand between you and the hiring manager and the recruiter. The fourth thing is companies, for whatever reason, are a lot less polite these days. So, if you apply for a job to work at their wonderful company, the odds are that you'll be ghosted and never hear from them, which is a painful experience for job seekers. LinkedIn is saturated. It's a social media platform. It's a sales pitch platform. And so, it's much more difficult to use that now to get out and find a job. And fake job posts and spam résumés are making it much less a trusted process. The hiring companies are less likely to trust résumés these days, and there's a lot of fake jobs out there as well. So, that's the background.

And here's what the result of that is for the average job seeker. It's going to take them five months to look for a job, 10 hours a week. They're going to need to apply to 50 to 100 jobs. That's an old statistic. We think it's over 100 now for any kind of consideration. So, that's a high volume. You're going to compete against 250 or more applicants for every role. Popular companies are receiving resumes in the thousands. The average job seeker today uses 16 different tools and services, which I think means there is no good option. We think we've solved that problem. And finally, 75% of the time, your resume is reviewed by HR systems or applicant tracking systems, and you're never seen by a real human being. So, that is the nightmare for most job seekers.

Here's the good news. AI is essential to success, and AI can help you in this process. It cuts through the noise. It helps automate many of these painful steps. It empowers personalization at scale so you can help people get to know you better. And it levels the playing field as the organizations move to using AI on their side of the job hunt process.

So, a few background steps before I dive into the AI pieces. Number one, this is a sales process. If you're looking for a job, you are the product and the salesperson. The company that you're applying to is the customer. Your sales tools are things like LinkedIn profiles, resumes, cover letters, endorsements, your portfolio, etc. And then finally, the interview is your sales pitch. And so, you need to treat your job hunt like a sales process, and that means a sales funnel. And AI can help with that. The more interest you have in having interviews and offers at the bottom, the more opportunities and applications you need to make at the top of the funnel. And that's just the reality, like any sales process.

So, what does this mean? It means that you need to embrace a workflow in a job hunt and use the right tools. You need to create and articulate a personal brand first and foremost. Who are you? This is the hard thing to tell people these days. You need to be discovered. You need to have a brand. Second, you need to find lots of matching opportunities. Third, you need to personalize those applications to those opportunities and you need to do it fast and in a scalable way. Finally, you need to network like crazy. 70 to 75% of all successful job hunts include networking. So, if you're not talking to people, you're just a resume in a pile. And finally, you need to prepare in detail for interviews.

Why should you be using our platform, Callings.ai, instead of generic AI tools like ChatGPT? The answer is, you should use both. The difference, though, is we are focused specifically on this task. So, the content that we generate is specialized to job seeking, whereas, you know, the general AI tools are by definition general and are really focused on a lot of different tasks. They don't... It's a manual process to understand job matching. I know that OpenAI has announced that they're going to have some job posts in their platform, but, you know, they really... You really need a platform that's going to help you score your opportunities. You need built-in ATS optimization. You need networking help. And that's not just recommendations and advice; that's actually finding the people to talk to and helping draft outreach messages to contact them. Then you need to track and organize it all, which they can't do. And so, we do that. And finally, you need... you need to do it in a way that's much easier and more productive for you. And so, that is those are the pieces that we've built with our platform.

And I want to show you what an AI job search looks like. So, I'm going to switch over here to a different window. And as I mentioned, the first thing is about your personal brand. Let me show you what we do. When you upload your resume privately, we don't share it with anyone. What we do is we help you understand yourself better. Either we can ask questions that you can answer, and along with your resume, generate a series of reports that will help you understand yourself better, or we'll just do that without you answering any questions. But either way, we provide four things that really are valuable to you.

Number one, we help you recognize what your goals are in a job search because if you don't know where you're going, you won't get there. So, for example, here's a report for a sample resume, which shows that the role and the responsibilities and the industries are some of the highest things on my list of needs and wants and goals. And so, we help break this down, and this is not about a generic report; this is about you and your job hunt. We then also generate an ideal job report, which is to say, we look at your resume and the answers you provide us and we say, "Okay, based on that, this is what the perfect job would look like for you," which is enormously valuable as you keep that in the back of your mind and look at job opportunities because then you'll pursue the things that you really want.

The third thing we do is help you identify what the personas are that you can use to promote and articulate yourself. So, for this particular resume, "Innovation Architect," "Strategic Alliance Builder," and "Creative Catalyst," and we detail those. And these are those one-phrase expressions when somebody says, "Well, why should you know? What is it you're great at?" These are the answers to that question. It helps you articulate your job search. And when we talk to job seekers, these are the things they struggle with. And the final, and we think one of the most valuable things, is we help you generate your personal brand elements. That is to say, a 20-second elevator pitch, a two-minute pitch, a summary that you can use on LinkedIn and your resume or in an email to someone, headlines that you can use, and these are all personalized to you, what makes you unique, the top 10 skills you have, the top 10 achievements. And so, this is the first step that Callings provides, which is to help you understand yourself. You know, the old expression, "know thyself," and understand where you're going with your job search.

Then, let's dive into the workflow of a job search. We read your resume and the information we have about you, and we go and find jobs that actually match you, that you're likely to get through the applicant tracking systems with, and we score them. So, these jobs here are provided. We've provided a score of 81% match for this job against the resume that I have in here. And so, you can go ahead and add these to the job tracker. I don't want that company. Yes, this company. And basically, at this point, you're shopping for job opportunities. Those are all added to this tracking system. When we talk to job seekers, almost all of them were building their own spreadsheets. Why? Because they need to track a complicated job search. We've taken that off a job seeker's plate. We've built an entire CRM system into our platform. So, all the jobs that you add are right here in front of you. And by the way, you can add jobs from LinkedIn, from Indeed, and from hiring company sources as well. We are agnostic as to where the jobs come from, though we do have a large inventory of jobs ourselves.

So, once you have these jobs, you can begin the process of filling your sales funnel. And we provide tools for every one of these jobs to make you a successful applicant. So, I'm going to go ahead and click on this Product Manager for Apple News right here. And if I click on it, it takes me into a series of tools to pursue this specific role. Number one, under the evaluation tab, we show you the job post that was published by Apple. We also pull out on the right the things that are important, like the skills that are required. Oh, here's the compensation for this job, the years of required experience, and the benefits. And so, at a glance, you can start evaluating this job and really decide if it makes sense for you. We also show you in detail where we got that 81% rating from, the pros of your candidacy, the cons of your candidacy, the conclusion that we make about your candidacy to help you understand what you should be thinking about when you pursue this job. And then we break down in detail where you score strong and weak on a variety of topics like type of job, salary, qualifications. And so, this is one of the most popular features on our platform, the job fit report. We also provide a company report where we show the latest news, the Glassdoor scores, so you get a real sense of who this company is, what the culture is like, you can read up. You should never apply for a job if you're not looking at the latest news about that company because they'll test you on it. So, that's the evaluate tab.

The second thing we do is, when you apply for a job, it needs to be customized these days. If you just submit a generic resume, the ATS system is going to reject you. So, you need to be customized and say, "I am perfect for this job." We do that for you. We take your base resume. We do an analysis, which we describe here, and then we create a new resume for you, which is tailored for this job while still reflecting your true background and potential. And you can dive in and customize this even more by going into our system. We show you where we've changed it. If you look here, everything in green is what we wrote using AI. What was in red was there originally. And you can see why we reasoned that you should do that. And you can just hit accept and build a new resume, keep the original, accept, and build a new resume specific for this job. By the way, this is a word processor, so you can go in and make any changes personally yourself. If, for some reason, something doesn't come out right, you can rewrite it. When you're done, you save it. You can download that PDF and, along with the custom cover letter, which we also generate for you and you can also rewrite and edit using our AI editor, you can go ahead and create a custom resume and cover letter for every job in a matter of minutes.

When you're done, when you've done that, you can click apply and go to the hiring site and apply for that job, and your application is in. Congratulations, your resume is in a stack of thousands of résumés. This is where we think our AI platform makes a huge difference for you. Click on this networking tab, and we're going to find people who are connected with this role. For example, this is the Product Manager, Apple News Monetization. So, he's probably a colleague, the person who gets hired for this job. Senior Content Producer, Creative Director, Program Manager. These are all people connected with this role on this product that you can network to. And remember, you want to network to people in the company like this because oftentimes the company reimburses them or rewards them for finding the right candidates. So, they may be happy to talk to you. But either way, boom, you can quickly go out. You hit "Reach Out" here, we will draft an outreach message to this guy, and if I hit the send email, we will put it into your email, and you can send it directly to his email address, which we find for you, or you can go to LinkedIn and do the same. And so, the result, and by the way, you can prompt changes in this if you'd like, and we'll make those changes for you as well.

So, here's where that funnel comes in. I apply for a job. I prepare and submit that job application, and I network to these seven people with outreach messages. I do it all within a matter of, say, 20 minutes. And then I go back down and I do that for a number of jobs that I find. If you do that and you apply to say, five jobs a day, that's 25 jobs a week, and say you network to five people, that's 125 people you network. You can do all of that while you're drinking your coffee. It will all be accurate and reflective of you, and Callings, and you're on your way. And at that point, the power of the funnel will take over, and people will come and ask for you to interview with them, and you'll have a chance to get a job. And that is the reality of how you fight what's going on in the job market right now: a workflow and a powerful AI tool to do it.

So, there's more. We provide resume assessments on your base resume, including things like a six-second verdict and a resume scorecard, which help you build your resume if you really want to work on that. We provide live coaching and weekly support groups, and we store all of those so you can watch the recordings on a variety of topics like telling your story, or dealing with a layoff, or navigating a career pivot, all in one platform. And that's Callings.ai, and that is how you use AI effectively in a process like a modern job hunt.

So, I'm going to share one final thing, and I will get off the stage here. If you guys want to try it out, anybody who's a participant in this activity today can go to callings.ai/solutionpeople, and we'll give you 30 days on the platform for you to try it absolutely free. So, I'd love to hear from you. Garrett@callings.ai. Let me know what you think. But this is the future of the modern job hunt, and we're Callings.ai. Thank you very much.

Thank you, Garrett Rice. What a great name for a company about helping people with their careers and their job search. Callings AI is the future of job search, and the chat lit up very well. A matter of fact, what I'm going to do for you now is I put Garrett's slides in the chat. So, he has a nice PDF that he's put together. And here we go. Speaker number two handout is... I did put that link in the chat.

For everybody as well. It's callings.aisolution AI/solution people, and I look forward to thanking you for putting together that offering. And, uh, you're welcome to, uh, follow Garrett on LinkedIn, where he's got, uh, a nice following. And, uh, uh, you are part of the Artificial Intelligence Innovators Summit, and, uh, we do this once a month on the third Thursday and always have a huge turnout on Zoom, YouTube, LinkedIn.

And, uh, the speakers we bring together have diverse backgrounds. And our speaker today, Melissa Sierra, is a certified business coach and an executive coach. And the title of her presentation is "Beyond Impressions: The AI and Coaching Edge in Media Strategy Leadership." Sounds enticing. Go ahead, Melissa. And, uh, feel welcome to share your screen.

Okay. And it's saying I can't share screen yet. Let's try again now. Okay, here we go. All right. Thank you so much, Garrett, for having me on this panel. And thank you for my. What's up? Thank you so much for having me on the panel. We can hear you well. Perfect. My name is Melissa Sierra, certified business and executive coach. And it's a beautiful day to imagine what seemed impossible with these great presentations. I've led media strategy for over 20 plus years and now additionally, I coach executives through complex transformations. So I live and breathe this intersection. The question isn't whether you will use AI, it's how.

Some you can share your screen now, please. Oh, you're not seeing it? No, we're not seeing the slides. Oh, sorry. I'll try it again. Can you see it now? Yep. Just presentation mode and we'll be ready to go. Perfect. Thank you. Thanks, friends. All right. The question isn't whether you will use AI, it's how. Many are using it as a shortcut. But those who will win will use it to be smarter leaders who are thinking better and making better decisions overall. Every leader I coach says the same things: there's too much noise, too many dashboards, too many reports, and they're buried in data when all they really want is clarity. And if you're a leader in media or marketing, that pressure multiplies. Budgets are shrinking, expectations are rising, and every investment is a gamble under the microscope.

And here's the paradox: even Fortune 500 companies admit that they're testing with AI, but few very feel confident with the results that they're seeing. So adoption is high, but the confidence is wildly low from where it should be. And that's the trap. More dashboards, more reports, more metrics. We've mistaken information for better leadership. And thus, complexity doesn't always equal clarity. And thus, AI has entered the room. People are using it as a faster intern. But the way that I want you to think about it today is a best thought partner that you've never had. Right now, most organizations are using this overall for efficiency. But what I want you to really understand is that automating that process is good, but surface level. Whether it's automating reports, drafting copy, and what really unlocks the transformational power with AI is when you imagine the world around you that you want to thrive in, especially with others that are relating to that piece. And that's the missing piece that I love to coach today, which is really about connecting human guidance, AI decisioning, and raw data. Making AI your partner, not just a resource tool. My framework for this is super simple: Smart media, smart leaders, smart organizations. When all three combine, you'll have that competitive edge that you need. Because transformation requires a highly intricate vision championing leadership across all divisions to reduce friction of low energy tasks, as well as to reduce overspend in the wrong areas. Oftentimes, we're thinking about the tactical, practical application of AI. But to get more strategic, we need to really understand what is our role in being a leader. How do we set the tone for culture? And how do we transform where we want to be in a few years from now? And yes, AI can predict, optimize, and measure any data faster than a human can. It can reallocate millions of media spend within minutes. But without leadership, it's just math. A digitized calculator on steroids. But automation does not necessarily equal originality and authenticity. The real shift is how leaders use AI, not to get solely tactical answers, but to ask bigger questions. Unlocking AI as your partner makes leaders think at a deeper level and have more intimate, proactive conversations with their employees and their customers to deliver their unique selling proposition, but to maintain a culture of interconnectivity as well.

So let's take a look at two different prompts. The one on the left side is more straightforward that says, "Let's optimize this $5 million media plan across some KPIs." Good. But that's surface level, that I mentioned earlier. On the right side, we go a little bit deeper, asking it to be a coach for us, wanting to understand how we pressure test this across the boardroom to make sure that we really tailor the insights that are needed for business leaders to make the decisions they need to today. And as we think about the job market or how we are leading within our organizations, really crafting that narrative and having more of those soft skills at the forefront is going to be even more paramount as we introduce a lot more of this AI technology moving forward to future-proof the business. And so, as my friend Michael Gbert and I were exchanging yesterday on, uh, LinkedIn, we used to say that employees were our best asset, but everything in the news today talks about how AI is going to replace employees, and thus they're in fear. Without defining a vision of clarity, focus, and purpose, employees' connection to the mission wanes. By removing the mask of AI fear, leaders will empower their teams to follow. Decision aligns, execution speeds up, and overall, the organization is more agile. And the end result is that everything compounds. Smarter campaigns lead to smarter leaders. Smarter leaders build smarter organizations that can compete with the best of the best, regardless of media dollars that are at hand. The ROI will extend far beyond any specific media campaign. So why do leaders resist? It's not the tech, it's fear. Fear of complexity, fear of exposure, fear of admitting that they don't have all the right answers. But I want to challenge everyone today. If we lead with humility and embrace curiosity, what amazing discoveries would we find? How much better would we feel connected to each other? What voice would we give unspoken heroes that are just waiting for their shot to take a crack at the new world? And that's why the coaching that I do feels matters. It makes space for these leaders to dedicate time to ideation, testing, and identifying learnings from failure to build confidence before those board meetings that can get a little bit testy, so that they can build their confidence in what I like to call main character energy. The leaders of tomorrow won't be AI dependent. They will be AI empowered. AI will amplify, not replace judgment, if we're careful.

I really want to spend some time here because based on the Gartner 2024 CMO Spend Survey, Denu and Marco study, and then the McKinsey Global Survey of AI, over 80% of CMOs are already testing AI. But fewer than one in three trust those results enough to drive boardroom decisions. Everyone's trying it. Few trust it. And that's the gap that coaching fills. Ready to be your partner, ready to scale solutions, ready to teach you what are the right ways to ask the qualitative questions that AI is going to unlock the quantitative insights in and around. So there's different ways for us to engage together. I'll share my contact information here, but I'm happy to share a 30-day playbook for you to get started in terms of looking at your systems today. Or if you'd like to reach out to me, I'm also happy to do a strategic business review and audit of where you're at today, where you want to be. And for those that really want to go deeper, I'm launching in Q4 a mastermind that I'd like to call Elevate 2026, where we'll spend some dedicated time on a weekly basis and then one-to-one, really helping you supercharge your efforts for 2026. So, I know I gave a lot more time back, but I know a lot of other people have some great expertise to share. Thank you, Melissa. That was outstanding. Thank you. You shared some high-level as well as how to get started, uh, with, uh, working with a coach that, uh, understands AI, which I encourage all of you to, uh, check in the chat right now. Uh, I put, uh, Melissa's LinkedIn profile and, uh, I'm also putting in her presentation called "Beyond Impressions." You can download that right now, and you'll have, uh, uh, all of her, uh, content and, uh, uh, the opportunity for you to connect on LinkedIn is large. We've had a lot of people join us since we started. Uh, so I encourage you to put your LinkedIn profile in the chat and, uh, uh, put your name in so people can, uh, find out what you're all about. Uh, we've been doing that for a long time now, over an hour. And, uh, we just heard from Melissa Sierra, and now we move on to the midway point of our summit. And I want to encourage you that the summit doesn't end, uh, after all six speakers are done. We do speed networking on Zoom. So if you want to sign up for that, uh, and get a head start, just go to networkonzoom.com, and there you can sign up with just a click. And now, uh, I have to say good evening to Rogan Robert. He stayed up very late. And, uh, half of our speakers today are from Europe. And I want to thank all of our international speakers for staying up late and, uh, joining us and continuing to network with us. And so, uh, Rogan Roberts from Forbus Mazar's group, uh, which is one of the largest accounting firms in the world, and he's based in London. And the title of Rogan's presentation is "Reinventing the Accountant's Toolkit with AI." Uh, so you got me curious. So, I used to work for an accounting firm a long time ago called Arthur Anderson, which later became Anderson Consulting, which later became Accenture. And, uh, I gained appreciation for accounting. So, I'm curious what you're going to share with us. Rogan, you're on screen. And, uh, feel welcome to share your screen.

Okay. Thank you so much, Gerald. Let me present my screen. Oh, sorry. Uh, let me stop. Um, can you see my screen? But we can see your speaker notes. So, if you go into the display settings and just swap them around, then we'll see. Okay. How about now? Is it better? Perfect. Thank you. Okay. Perfect. Hi everyone. Uh, uh, good morning people who are from the US, and good evening as well for people from other parts of the world. So, uh, first of all, I would like to thank, uh, Gerald for this opportunity. Uh, especially initially, Gerald highlighted his, uh, passion why he is bringing all the, um, people together, people who are passionate about technology and, uh, like people who are curious about knowing what's happening in the world of tech. So, myself, to give a quick introduction, I am Rojan Robert, and I'm a senior solutions engineering manager, and I'm part of Forvis Mazar. And, uh, prior to joining Forvis Mazar, I was working with Eva in a similar, uh, leadership space. And prior to that, with Axel Kness and Wipro, mostly with a good technology background. And today, I will be, uh, taking a topic which, uh, is, uh, which I have mentioned, like "Reinventing Accountant's Toolkit with AI." But I just don't want to stick all of you to stick towards that. What I, I will be covering with respect to the accountant space, but I want you to think about what's your profession, how you can connect it. Only then, uh, you will be able to get benefit out of this session, okay? So, coming to the, uh, uh, let me, uh, get started. Why this topic matters? I mean, uh, like there are like lot of, uh, challenges in the accounting space, especially, uh, like due to the complexity of data. There is like lot of regulatory requirements as well, and we need, like, faster and more accurate decision-making because, uh, if you stay on, like, for the traditional approach, then your competitors may be having a competitive advantage over you. And also, like, lot of traditional tools which is like time-consuming, which is having a lot of errors, and also business needs more dynamic, uh, response, responses. So, when you, when I share my expertise in the accounting sector, you have to connect with your domain and how your day-to-day operations is there, and how can you embrace the technology? And also, uh, there is like, uh, how we can, uh, reinvent the, uh, like, the automation processes to improve efficiency and also getting insights. And the other part is like, how we, uh, like, how we can enhance the role of accountants. Basically, we provide them with lot of new, latest technology solutions, then they can, uh, change their focus from, like, normal day work to a strategic advisor. They can save that time to improve the operation by providing, like, dig, I mean, providing a different strategic insight rather than spending a lot of time fixing the manual, repetitive task and using traditional tools. So, this is why this topic, I mean, I have highlighted a few major topics. So, high-level, uh, like I have covered why this topic matters. And now I would like to, uh, highlight why we are introducing AI in the accounting sector. As you all know, like, if you are familiar with the accounting world, you know, like, lot of works are traditional and repetitive tasks which is like time-consuming, and also there are like chances for more and more errors. And also, there is like, if you're using more AI solutions, that the benefit is like, it'll be, it will improve the decision-making. Say, for example, traditionally, suppose if a project takes or a system takes up to like, uh, two or eight months, then using AI, you can improve the, like, uh, uh, decision-making faster. You can come to the conclusion. To give a typical classic example, we developed an AI solution for the tax team where the tax experts generally take a partner, senior manager, director, and staff, they generally take up to eight months. So, using that solution, AI solution, what we have achieved is like, we could save up to 80% of their time, as well as the accuracy, we came up to 90% accuracy, which, uh, a human can come into the process, like, human in the loop, and they can improve the process by making the correction. So, imagine like, how much faster we can come into the decision-making. And the third highlight, as I mentioned before, like strategic advisory roles, right? We need to shift from the focus from manual works to strategic advising and business growth. So, when I share this approach, I mean, what I will suggest is like, you think about your profession and how you can apply that. And just, I would like to share some of the traditional toolkit limitations. You can connect with yours as well. I mean, most of the works, it will be manual data entry, which is a challenging task, as you all know, and lack of real-time capabilities. I mean, traditional tools don't have that real-time, uh, capabilities, which is a challenge. And absence of advanced analytics. You might have basic kind of analytics, but in the current technology era, you may, you need like modern analytic options, and which is lacking in the traditional tools. And also, AI-driven, uh, tools, introducing AI features into the existing toolkits are a bit of a challenge. And let me come talk about what are the AI capabilities. I mean, if you know about, right now, the world is shifting more on the automation space. So, AI can automate most of the accounting tasks, which will improve the efficiency and also reducing the, uh, errors. And also, as you know, like, as I mentioned, like predictive analytics, which is also, uh, a major key player in the sector. And, um, the other part is like natural language processing, which, uh, I mean, this is a key place where most of the firms can extract information, whether it's financial or any kind of invoice extraction or text extraction, uh, in every sector, not only accounting, you can, uh, get data extraction, uh, using, uh, natural language processing. And also audit and compliance, even anomaly detection. If you, uh, like, in many sectors, you need to find the anomalies in the system, so using AI, you can, uh, detect anomalies. And also the other highlight is AI-powered dashboards. So, right now, there are capabilities where AI can recommend, uh, different analytics for the accountants. Uh, so it will help them to, I mean, provide the insights, come to the conclusion as faster, and which will help, and they will have a competitive advantage over their competitors.

So, now I will quickly talk about, uh, what is intelligent, what's what all things are in the intelligent automation space, like, as I mentioned, automation of routine tasks, like which is a major, uh, like, uh, player where we can automate manual tasks, and where people can focus on high-value activities. Like automation can help to focus the accountants to focus on high value and improve the decision-making skills, and also in terms of scalability, and also to improve efficiency. And, uh, by using the, uh, like, intelligent automation, uh, you, the accountants can modernize their tools. Coming to the next one is like predictive analytics, which, uh, like, say, for example, if you are working in the financial forecasting, I mean, AI can play a vital role. Bringing the historical data, you can imagine, right? If you're using the traditional approach, then the financial forecasting using AI, it will, uh, tremendously support you with your journey. And also proactive risk management, uh, getting insights of the risk, uh, in a larger scale, with identifying the patterns and mitigating the risk. And also, which, uh, this supports in analysis, as well as financial planning, as well. So, financial planners will have major benefit out of AI as well. And I have highly covered, I mean, I have shared one few examples as well with respect to the natural language processing, even, uh, automated document processing, conventional, uh, interfaces, like where you, uh, can have accountants can interact with systems. If they have any questions, they can interact with systems to get answers to the questions, and they can come to the conclusion as fast as possible. Even sentiment analysis, as well as compliance analysis, as well. And also, AI in audit and compliance, as well. There are like lot of benefits, uh, bringing the analytics through the automated approach, anomaly detection, and also continuous auditing, and also regulatory compliance support. Okay, I'm going into the next one. And also, high-level, there are like lot of AI capabilities in tax, which a few of the, I mean, which I mentioned, like, which we adopted as well in the tax service line, uh, bringing the data analysis for the optimization, and also tax processes, and predictive modeling, and tax management, as well. And, uh, similarly, in the, uh, financial planning, as well, there like, uh, like, you can improve, enhance the forecasting, and also improve the accuracy of financial forecasting, and also support, as well, the strategic decision-making. If you're using AI, this will empower the financial modelers as well. And, uh, even, uh, it will help the accountants as an advisor, as I highlighted, they can focus more on advising role rather than focusing on more on manual works. And, uh, high-level, I have covered, like, there are different AI-powered dashboards which will help get support you with the real insights, I mean, from the historical data, as well, it will support you. So, um, if you are working in your domain, you can think like, will there be any benefit of using real-time AI-powered dashboards, which, if you can, say, for example, if you have, will it improve your efficiency, your way of working? Then definitely, that's your journey. You will have a competitive advantage. And I would highly, uh, high-level, I could, I, I could, I want to share some of the successes in accounting, some use case studies, is where, uh, like, say, for example, automation of invoice processing, and, uh, like, uh, enhancing the audit accuracy, and also, like, uh, financial forecasting, then, uh, strategic, uh, focus, and improving the employee satisfaction. So, there are like some of the examples where, uh, that, I mean, there's success using AI in accounting. And, but definitely, uh, like, building an AI-enabled toolkit, I mean, involves, it's not an easy journey. Like, you need to have a, like, a larger data infrastructure, as well as that AI model, I mean, if you want to have, like, you need to have large data set, as well as, like, integration platforms. Like, you need to have a seamless connection between different systems within your firm. I mean, you need to have a central ecosystem where you have all your data. If it is, if you don't have proper data, it will, I mean, that's a major player for, uh, if you need to get proper benefit out of your AI journey. And also user interfaces and collaboration. This is also a key player. I mean, um, like, you need to have a user interface which will support your interaction, collaboration, and also ensuring successful AI adoption. There needs to be wider, uh, uh, training as well for AI adoption because accountants are mostly non-tech savvy people. So, we need to have a proper strategy for the support as well. And now I would like to talk about what are the skills accountants needs to have in an AI era. I mean, this is not only specific to accounting. I'm pretty sure in your domain as well, you may have it. Like, accountants can needs to have integ, I mean, they need to have, like, AI-generated insights. I mean, to make their decision faster. And also, like, uh, they need to have good understanding about AI technology. I mean, think about your profession, like, do you think your, uh, colleagues or people do, I mean, they might be skilled in their domain, but how about the technology? Like, are they good at their profession? I mean, do they have good knowledge on using the proper AI tools? I mean, are they using it wisely? I mean, uh, imagine like, if they are using, they can, uh, start thinking about strategically. I mean, they can focus their shift towards strategic advisory works as well. And also, you need to have provide them with a lot of training opportunities. And if you're providing them with any AI solutions, then you need to give them training as well. And this will be a major, uh, like, consideration which we need to have, ethical consideration, which is like a bias in AI algorithms. I mean, as you all know, like, which is also, uh, you need to have a, uh, ethical, you need to have keep everything the ethical consideration in mind, transparency, and also decision-making is a major player here. And also, you need to have a strong, uh, governance as well, like, uh, before embracing, uh, the technology, you need to have proper governance around how to use your data, as well as, like, are you using it for the proper usage? I mean, uh, like, are you using any, I mean, unwanted data which is no longer needed? I mean, and having a proper governance, this is a major player. It's not only for this profession, it's for every profession. Like, you need to have a clear governance, clear control over how to use your data. And, uh, there are like, high-level, I'm not going into depth of integration challenges. I mean, if you are, uh, I mean, planning to bring, uh, the system, accounting systems into your, I mean, integrating those systems, you need to consider the data compatibility issues, and also system inter, how your systems interact with each other. And also user adoption and training, which I highlighted before. And also strategic implementation, how you adopt that technology in your firm. And I now I would like to showcase, I mean, talk about like, high-level, the future trends, I mean, um, uh, in, I mean, how this benefit, uh, the sector, I mean, autonomous systems, I mean, so, for example, AI-powered autonomous, which, autonomous systems will help to automate the task, reducing the need for a human oversight. I mean, uh, if you, uh, remember, like, if you think about, if you have a large bunch of data, like, even as I mentioned, like, we developed one AI system where, I mean, the system runs in the backend, which, uh, typically runs in the backend. Tax experts, they don't need to, they just need to start the process, and the, uh, work independently. Similarly, the future will be like more autonomous. And also AI-driven advisory, like, that will be more around, uh, the future. And also continuous learning models, when you are adopting a new system, how that will be, like, in the future, it will be continuously learning automatically. And also evolving, accountants, accountants will focus more on strategic contributions. That will be the shift you will, I mean, see in the coming future, like people will focus more on strategically, and, uh, they will be having more competitive advantage. So, high-level, I would like to, uh, give, like, some key takeaways, like, from this session. I mean, AI enhances accounting, I mean, accounting profession. And also skill development is a key player. I mean, in every sector, uh, digital skills is a major player. And also, you need to ensure that you have a proper strategy to embrace this, support your employees, uh, your colleagues, uh, along the journey. And also ethical and integration challenges. You need to keep this in mind, ethical consideration in how you integrate, uh, in your firm, like, how you can safely integrate. And also, I mean, bringing the accountants, delivering, helping them to deliver greater value, I mean, embracing them to support. And next, I would like to quickly talk about, like, uh, the call to action. Remember AI. Please, you need to embrace AI. It's not, remember, it's there to support your journey. Like, and also invest in your skills. Invest, uh, your staff with your skills. Embrace the technology. Have a clear digital skill strategy. And also lead the transformation. Motivate your professionals to proactively, uh, embrace a technology. Help them the tool and give more learning paths and, uh, support their journey. Give them confidence. And so, high-level, this is like, I, I was covering about how it is with my accounting profession, but you can think about and relate with, uh, your profession. So, that's all from my side. Uh, I hope, uh, it was, uh, useful for you all. And, uh, I, I mean, my only request is like, I shared my insights with the accounting profession, but try to connect with your profession and, uh, try to connect it. And I will, I mean, definitely Gerald will be sharing, uh, the slides. And if you would like to connect with me, I'm very happy to share, uh, provide you insights. Uh, I mean, uh, happy to be part of your journey as well. So, uh, I would like to thank Gerald as well for this opportunity. And, uh, handing over to you, Gerald. Thank you, Rojan. It was great. Uh, what time is it for you right now? Now it is 8:35. And like, hopefully, I think my kids just came home. They went to explore learning, and I told them, don't come here. I need some time. Daddy wants to focus on my presentation. So, I can hear that they are back now, but it's 8:35. Uh, well, uh, thank you so much for your presentation. Uh, it was eye-opening, uh, given how big the world of accounting is, and so a lot of people were able to relate the accounting world to their world. So, thank you for that. And, uh, as we, uh, gather together today, I want to let you know we're sponsored by Solution People, which is a company I started over 30 years ago. And my nickname is Solution Man, otherwise known as Gerald Hammond. And we've had a variety of different speakers with us today. We have another, uh, speaker from the UK, and his name is David Palmer. He's been with Vodafone for a long time, and now he's with PayPoint, and his presentation is entitled, "How Important Are Machines, Data, and Blockchain for the AI Economy?" Sounds wonderful. David Palmer, take it away.

Just getting my slides ready. Yeah. So, first of all, uh, Gerald, thank you, uh, very much for inviting me. Um, it's, it's a real pleasure to be connected to so many people from so many different geographies. Um, you know, to talk about this exciting topic, uh, AI. Uh, so I, so I want to cover machines, right? Uh, and data that come from machines, uh, and trust that's needed for machines to, uh, share their data, uh, and how this relates to this new AI economy, uh, that's emerged. Uh, but before we did it, um, we go into that, sometimes it's, it's useful to take a step back and just look at where we are and, and where we're going to be with AI and other technologies converging in 2030. Uh, so the first thing is that, um, you know, as of now, we've got a population of around 8 billion people. We're expecting that to increase to 8.5 billion people. Uh, I'm from, uh, PayPoint by Vodafone. So, we're, we're part of Vodafone, a global, uh, carrier. Uh, and one of the success stories has been mobile phones, right? So, uh, we're expect, we've got over 90% penetration. Now, we're expecting that to increase, uh, so that out of a population of 8.5 billion, uh, people, 8 billion people, uh, will have mobile phones. And that's important because if you look at people, uh, and you look at how we're going to access AI and use AI, um, you know, the mobile, uh, phone will still be a part of it, right? We'll go on to talk about agents and natural, uh, language translation and voice prompts, but, you know, the mobile phone in the next five years will be part of the transformation and the transition to, uh, AI use. IoT devices, uh, something I've worked on for many, many years, connected cars, drones, cabinets, sensors, every business process that is automated now, uh, collects data, and you do that through Internet of Things devices, machines. And we're expecting 30 billion of those by 2030. We're expecting most people, uh, as with mobile phones, to be using the internet, uh, to access AI online. Uh, and even physical AI with machines will require a connection. Um, you know, in terms of the economy, you know, how we, how we buy and pay for things will change, right? I saw a brilliant presentation earlier by Microsoft, um, you're talking about, uh, you know, how we're going to pay through agents, etc., which is absolutely right. I think Google also released something, uh, you know, this week, which is a new, uh, payment standard, ATP, for agents, paying. So, so, you know, the way we, uh, pay for things and the infrastructure we need to do for that, do that, won't be cards and bank accounts, right? It will be wallets, uh, and smart contracts and automated payments through agents. We're expecting to support that, 5.6 billion, uh, digital wallets by 2030. Uh, and, uh, we're expecting most of you know, almost half the planet to be, uh, using AI in, in their daily business. Some of the headlines, right? So, you know, we, we have these conversations, but there's a lot of headlines, right? So, you know, by, uh, 2035, we're expecting that, uh, you know, we're going to have 10 trillion, yeah, an e-10 trillion economy for autonomous systems. So, these are, um, your autonomous, uh, machines, uh, that you don't need people, right? Humanoid robots, robots in factories, autonomous vehicles, autonomous drones, uh, and where you get to level four systems, these are systems that can act almost independently. Um, we're expecting, if we just look at vehicles, uh, that that, uh, market is going to reach, uh, you know, quite significant amount of 30, 76.21 million units, uh, by 2030. Uh, and the world is further changing because, uh, you know, we're expecting 1.3 billion AI robots, right? U, we're just, we haven't even really started to see them in operation, but we're saying in the next 10 years, there's going to be 1.3 billion AI robots roaming and working and, uh, among us. And two, uh, 275 billion AI, uh, devices. And one of the questions for, for the panel is, the rise of machines, a new market for embedded finance and payments, right? Um, in terms of what we do, uh, we see the world like this, right? You, you know, connected people, 8 billion people with mobile phones, uh, connected machines, uh, wearables, cars, drones, cameras, phones, uh, EV charging points, uh, sensors, all of these things are connected. And what we've been working on, um, is how you can, uh, connect these machines, uh, and embed them with intelligence, uh, and wallet infrastructure, and connectivity, and identities, uh, so that on certain conditions, they can start transacting with each other automatically. Why this is relevant for AI is that one of the things that will be transacted most to power the new AI economy and provide the fuel for the AI economy is going to be data. Um, and, uh, and some of the transactions when you talk about transactional intelligence, will be intermediate, what will be, uh, pro, uh, enabled by agents. And, uh, just a headline, we're expecting three billion devices to be, um, to be, uh, operated, uh, in, in the economy of things by 2030. All right. So, machines, finance, and payments need a new financial infrastructure for a new digital wealth. So that's one of my sayings of the year. We need a new digital infrastructure for a new digital world. The AI economy needs a new digital infrastructure for a new digital world. We need new, need jobs. The, uh, uh, the presentation before was spot on, right? We're training our children and people in college for jobs that won't be there when they graduate. Uh, and I think it's really important, um, that we start to look at this new digital infrastructure. As someone from telecoms, uh, we realize that just connecting people, uh, on phones isn't going to cut it anymore, right? We need to look at digital identity. We need to look at agents. We need to look at how we can empower agents to to act on people's behalf and connect. You know, everybody's being challenged, right? But we see that this new digital world will have a connectivity infrastructure. How you connect people, businesses, devices, and AI. Uh, there'll be a data center, a data computer infrastructure. Yeah. No data, no AI. Simple as that. Uh, so data, there's a lot of talk about data centers and data processing and the chips. Uh, absolutely critical to the new, uh, infrastructure. And you're seeing, uh, announcements of trillions and trillions of dollars. And McKinsey's announcement, um, is that 7 trillion will be invested in data centers alone, uh, by 2030. Uh, my little note here is, you know, in this, can we use existing infrastructure? So, one of the projects I'm working on is, can telco towers, uh, become distributed and collective, uh, AI data centers? So, can we link the towers so that many towers can become, um, you know, process the equivalent of a, of a big mega data center? Um, but, you know, the point is, we need new infrastructure. Um, you know, finance, ownership, and infrastructure, right? Banking, wallets, to, you know, tokenized assets, all part of how we'll finance AI. And then the other thing is Web 3.0, blockchain, trust, blockchain, cryptography, um, you know, metaverse, how we interact with AI, are all part of that infrastructure going forwards. And if you look at it, um, you know, there's something pretty important, right? Uh, so machines, if you look at sell data to AI, right? So, you've got machines which sell data to AI, part of the fuel, you know, 20, 30 billion, uh, IoT, uh, uh, devices, machines in the world will be selling that data to AI to fuel the services. Machines, um, buy AI services. A lot of the data or services that machines will consume and, and cross-sell will be via agents. Uh, and then you've got, um, how these machines will be financed, how they'll be connected. And there's a whole financial system that's going to come up, right? So, we're expecting that machine financing could reach four trillion by 2035. And, um, if you look at it, you know, data, large language models, uh, you know, that are supporting AI and machine learning, um, you know, have actions, but agents, you know, will be, uh, the way that machines, uh, go forwards. And there's potentials for agents to really act, uh, an energetic AI to really impact the way that the machine economy works and the way it overlaps with the AI economy, meaning, uh, that, uh, machines, uh, you know, in the future will have AI, uh, agents assigned to them. That's something we're working on as well. Um, and, uh, you know, we, we believe, uh, in, in PerPoint, Vodafone, that that will be done using the phone number. We've already got a lot of the infrastructure for this already with the phone number. Uh, and we believe that the, um, agents will then act on the machine or the owner of the machine or the user of the machine's, uh, behalf to do a lot of the, uh, interaction with ERP systems, social media, retail. Um, part of the key things to this will be the global wallet architecture. So, 5.6, uh, uh, billion, uh, digital wallets, uh, in operation is going to be significant. But, but, uh, part of what we've been doing is is equipping machines, uh, with wallets, and now we're extending that to agents. A lot of the work we're doing now is how can you essentially, um, you know, assign a wallet and an identity to a machine. So, a car, for example, and then how can you extend that identity, which would be a phone number and identity, to AI agents. So, this is some of the infrastructure, the new inf, digital infrastructure for a digital world that's there. And this is just an example of of sort of what it would look like. On one hand, you have a person, will have a phone, uh, and a wallet. They can link, um, their phone number, uh, they can use their phone number to basically, uh, delegate their identity to an agent who will then act on their behalf. So, in this case, the agent is aligned with the Microsoft, uh, presentation, buying, uh, cheap flights. It's scanning for cheap flights and it's acting on behalf of the owner. But the link, uh, for that agent, for it to have an a device to be valid, you know, is through the phone number. And the same for a business where you have a business, they have a fleet of vehicles, and the agent wants to find the cheapest EV charges en route. Again, you can delegate, uh, the, the identity of the vehicle to the agent, and you can then, the agent can then act on their behalf, also using the payment credential and the backend infrastructure for this is already there. How do we do it? Uh, so we've built, um, digital identity into our SIM cards, uh, wallets into our SIM cards. We have hardware secure modules which can support, uh, encryption keys. Uh, and we've also built bridges to different platforms, uh, and AI, uh, uh, using the SIM card as well. So, we're seeing the SIM card as an intermediary to power this. And these are physical SIMs, and now the new eSIMs. We believe that this will change the way we communicate with AI. So, so, uh, the way people communicate, but also the, also the way our agents communicate on our behalf. I think, uh, yeah, this can extend to physical robots. And you look at the symbol here, you've got SIM card, identity, wallet, uh, and digital signing. And, uh, you know, where machines are connected, this, uh, you've got human robots, um, you know, we're working on the same things for that. You know, you have physical AI, which is, uh, humanoid robots. You've, But, uh, and people using things on their smartphones to do physical things, and you've got digital AI. We believe that the phone number can provide a common identity, digital identity across both, uh, of, of these worlds. And we believe that this is absolutely critical for security. Uh, you know, telecoms manage critical infrastructure, uh, securely, and this is absolutely, absolutely going to be, um, you know, of the utmost importance as we start moving to the AI economy. But how are we going to interact with AI, right? So, part of the interaction with AI will be through the metaverse. Um, if you look at the metaverse, not such a popular word, but it's important, right? Because a lot more things will be done digitally. Um, you know, the industrial metaverse, digital twins are taking off because you need, uh, the data from them to fuel, uh, uh, industrial AI. The consumer metaverse, data from people and their purchasing, uh, habits are is increasing as well, and you have more online sales, which will be enhanced by virtual reality and augmented reality. And then you've got the shared metaverse, which is creator economy, etc., right? Um, you know, AI and the metaverse can, you know, basically do a lot of things, uh, in terms of removing geography. We s, we all saw Steve Jobs coming back to life so we could talk to talk to him about AI, etc. But part of that is be, is about data, uh, going into AI models, and, uh, virtual augmented reality, uh, providing the, uh, the environment, uh, and the avatars or the interaction, uh, uh, points, uh, for them. Pretty important when you look at AI and, and, and the metaverse going forward. So, this is an IV League education. Let's say Harvard University. Um, you know, the current position is you need to travel to campus, you need to pay a lot of fees. One of the things that AI and, uh, and virtual reality can do is make it so that engineering and courses that are immersive, you know, you don't physically need to be there. The tools are are now in place so you don't physically need to be there, which makes the marginal cost of providing that service, uh, very low, uh, which means that, uh, you know, people can actually start getting these educations, uh, and accessing these things for a very, very low marginal cost. So, the impact of AI and virtual reality, metaverse should be to bring down, uh, the cost of things like education, uh, and for businesses, how they position, uh, for this is where you have something with this high immersive value. I, you couldn't do it physically before, but you can with augmented or, or, or virtual reality. And, uh, you know, travel or geography has a high impact, but it's removed by, um, uh, virtual reality and AI. These are the sort of, uh, businesses that, uh, you know, that that will prosper under this. In terms of the architecture, you know, you know, AI, uh, along with Web 3, fintech, and other capabilities is part of a new digital operating system. We're And on top of operating systems, you build applications. And the new application architecture is going to be through agents. Uh, so I've shared that I've got, uh, 15 seconds left, I think, or I'm out of time. Uh, you know, these are just some of my thoughts. These are things that we're really working on at Vodafone or PerPoint by Vodafone. A lot of my thinking on this, um, you know, which covers AI, is in my book, "The Business of the Metaverse," right? It's about how organizations can optimize the opportunities of Web 3 and AI. Um, and I'd love to, uh, share more, but I think Gerald will will share my LinkedIn details, uh, with you, so that if you want to follow up, I can do that offline. Thank you. Thank you very much, David Palmer. Another one from Europe. And, uh, I'm going to put in the chat, uh, David's slides, uh, so you can download those fantastic slides, which a lot of thought went into. One of the things that people like about these summits that we do every month on the third Thursday is that, uh, the speakers give handouts of their slides. Usually 20 slides, sometimes more, sometimes less, and so forth, and, uh, you have the opportunity to learn from them. I know of someone that has attended all of the summits that we've been doing for the past four years plus and has, uh, uploaded all of the speaker handouts, uh, into an AI program. I won't name the details and so forth, but he's used it to train it to think like an AI speaker. So, uh, David, thank you again for your, uh, great presentation, and thanks for staying up late to be able to join us. Now, we're going from the UK, uh, to the final speaker. Uh, we saved the best for last in terms of having a speaker that's dynamic and, uh, will share some wisdom about AI. Uh, speaker number six is Marqua Pway. Uh, she's, uh, known as the Zoom Queen. People from Zoom actually call her the Zoom Queen. And, uh, the title of her presentation is "Zoom Like a Boss with AI." Hello, Marquesa.

Well, hello. I just want to make sure you guys can hear me. Okay. Am I good? Yes. You sound good. We can see you well. Hello. Hello everyone. Oh my goodness. First of all, thank you, Gerald, for, uh, giving me the privilege to get in front of your community and talk about something that

I think they use every day. Would you do me a favor and just raise your digital hand? And by the way, if you don't know what that is, it says react and you can or raise hand. They got raise hand there. Raise your digital hand if you use Zoom at least, I don't know, once a day, once a week. I'm just curious to know what does it look like, Gerald? Are we getting a lot of folks?

Yes. Okay. And before I forget, I also want to thank the previous speakers. I love a a II. I love learning about all different ways to use it. Uh, so many golden nuggets came out of it. And if nothing else, you should have taken away that AI ain't going nowhere, and it is where we are now. So that brings me to my question before I share my slides. And here is my question. Um, when you're using Zoom, this is so important. When you're using Zoom, how do you incorporate AI into it? In other words, do you go over to chat GPT and pull it in or use another tool and pull it in?

So, I'd love for you to put in the chat room. I just want to read it. How do you, if at all? Some people may say, "I don't want to incorporate it at all. I didn't know I could." But right now, because I don't know if anybody on here is going to get it right. You may get a little surprise. But I'd love to know, how do you use Zoom and AI? So important. Game changing. I'm going to give you a game-changing answer. My presentation is the answer. Okay.

So, uh, Denia says, "Zoom AI companion." You go. Andrew says, "Meeting notes." Very good. Now, Ted, Ted, my feelings are a little bit hurt. Okay. But Ted put something there, but I'm glad you put that there. He put their otter, which uh is great, but I have some huge news for you. We're going to get to that. Um, and so I see a lot of folks, five. I see a lot of of different things here. So, thank you for that. But the answer to that question is what I want to share with you. And since I have 15 minutes now, I'm going to tell you, I speak all the time and I usually have way more time. But the good news is Gerald has agreed to give me some time to take you um off of this Zoom, which is awesome, and it's under me, by the way, over to you ain't never seen Zoom like this Zoom. So a link will be provided to you towards the end of my presentation where you can go sign up for that and then I can go deeper and wider but right now I just want to answer that question. AI, what happens when AI and Zoom get married and have a few babies? So you ready for the answer?

So let me go ahead and share my screen. Oh, let me go to Oh, first I'm requested to share your screen here. I'm going to share. Yeah, desktop is fine. I'm going to hit share. Fantastic. So, I'm going to move myself over here. I don't know if you guys are like me, when I do things, I have to like say what I'm doing, otherwise my brain will go somewhere else. It's part of being ADHD, you know. All right. So, I'm going to go into present mode here. Okay.

So, you've met me, hopefully know a little bit about me. Um, I live here in New York City. uh, although I'm Texas born and um used to be a a CNN business news producer but now fast forward now I run the virtual business club which means I empower, in other words, helping make more more money, save time and grow their influence, virtual bizreneurs. All right, so you'll learn a little bit more about that as we go along. Okay. So again, more time, more money, more influence. All right. This is just a snapshot of AI and Zoom. AI and Zoom. Just a snapshot. I know you're like, "What am I looking at?" We'll get to it. All right. All right.

So, category one, I want to give you like the the little three categories. The Zoom Workplace app. Do you use the Zoom Workplace app? Yes. No. Maybe. You know that you use it. It should be on your iPad, your iPhone. It should be on your desktop. And how do you know you're using it? Well, number one, you do not need to. It's not a web version of Zoom, just like Chrome. Anybody ever use Chrome or Safari or any of those? And they have their own app, big word, Chrome, right across it. Well, you know you're using the Zoom app if it has Zoom right across it. And if you're not using it, oh my gosh, you are losing so many of your benefits. This is what it looks like right here. You're looking at my screen. This is what it looks like. The Zoom workplace app. And if you see over to the right, look at all of this, y'all. Mail, calendar, whiteboards. I can literally work in Zoom workplace app all day long, right? And by the way, this is Zoom AI companion. Here's the news. Every Well, I'm not gonna say every single platform, but the Zoom platform has really put AI all up and through its platform. Okay, it's always been ahead of the curve. It was a reason why everybody turned to Zoom, although I knew Zoom way before the pandemic. But part of the reason why I'm known as Zoom Queen in a lot of communities is because it has been my favorite business tool when I I need a business tool again that helps me save my energy because you know I'm 50some, okay? Helps me kind of, you know, back in the day I had an employee who had to transcribe for me, set up my meetings, all of these different things. Well, now she does something else. Now Zoom is my employee. I'm telling you. Okay. So again, you have the Zoom AI workplace. You have all of these to the side. Now, if I go through all of these, it'll take all my time. Remember, I'm just giving you a sneak peek here of Zoom and AI. So, what's next? Check this out.

Question. This is uh I think the screen is uh not showing your slides. Oh, it's not. You don't see it? Okay. Oh, you know what? I'm probably Am I sharing the wrong one? Let me hit stop share. See, I got all excited, not even paying attention. Thank you, my dear. I'm up here all excited, thinking you guys seeing my slides. Okay, let me go here. Maybe I'm sharing the wrong one. All right, let me just put this over here and let me go ahead and share. And this time, you know what? You're right. I was sharing the wrong desktop. See that ADHD brain now? Can you see my slides now? Do you What do you see? We can. Yes, we can. Sure. Can sure. Thank you. My bad. I'm You probably guys were like, "Uh, I'm confused." So, sorry about that. Okay, good. All right. So, let's go back a little bit. All right.

So, category one, we're talking about the Zoom workplace app. The Zoom workplace app. This is something on your like I'm using a Zoom um I'm using um uh Mac. I have a MacBook Pro. I'm everything I'm everything Apple. Okay. And I love the way everything talks to each other. So, even on my MacBook Pro, I have something that sits right there on my desktop and my laptop that says Zoom. That says Zoom right across it. And you have to download it. Okay? You're going to go to zoom. usdowns. That is so important. Okay? This is really the crust of Zoom AI. So without this, you're not really benefiting. Frankly, you're just using Zoom as a hobby. But if you're using it as a business, then you need to download the app, okay? And it needs to be everywhere. So this here, you guys can see it earlier. Look at all of these features that I have on my Zoom workplace app. Check that out. I got my email in there. That's not Zoom's email. That's my Questa's email. I got my calendar in there. I got whiteboards, docs, clips, apps, events, you name it. I can literally run my whole business just in the Zoom workplace app. I love it. But again, we'll deep dive into that another time. Right now, my only goal is to show you the marriage between Zoom AI, between Zoom and AI. Okay?

So, I'm going to go a little bit faster. Here's a little thing. Have you ever heard of Zoom clips? If you're familiar with Loom, a lot of us have used Loom through the years, right? And why do people like Loom? Well, because you can just post it somewhere and track folks and people can make comments. Well, guess what? I had to say bye-bye to to Tulum. I had to give up. I'm so upset paying $10 a month. I had to give it up. Why? Because it's included in Zoom. And why do I care about that? Well, while I'm on a Zoom call, I can literally go right here, hit click, and put it right there in the chat. Now, right now, this is an actual slide, but but if I wanted to, it's easy for me to open it right here on my desktop and share whatever I want to share. And you may think, wait a minute though, Loom, you can record. You can absolutely record. And it's different from a meeting. You are literally recording a clip. You hit clip just like you do on Loom and it asks you, do you want to share your video? Do you want to share the screen? And so on and so forth. Game changer. And here is the best part. Are you sitting down? Here's the best part of it is let's say that you record a really long Zoom meeting, right? But you want a portion of that Zoom meeting as a clip. Well, the next section I'm going to show you guys is called Cloud. It's huge. and you're going to see something. How clips and cloud changes your whole Zoom game. So, I'll show you that when we get there. Just gave you a little teaser there. Okay.

So, again, I have to keep moving because I'll try to talk about each one. Zoom task. I I forget I got like 15,000 things I've got to do. Zoom AI every time it senses that I need to do something like I'm maybe I'm talking to David and I'm saying, "Oh yeah, David, I need to go and grab that book or I'm going to go and pick this up." It automatically creates a task and whether it's a task for me or a task for David, it creates it and it puts it into Zoom task that's right there in my Zoom workplace app. Is that crazy or what? Okay. And look at that. I gave you some details about it. Here's another piece. Zoom notes. I heard a few of you mention that. I love Zoom notes. I look at that. That's a Zoom note, guys. All I did was copy and paste. This is This is actually a note between Gerald and I about what we're going to talk about. And you see how I laid everything out right there. I love it. I create a fancy note and then I just duplicate it and use it in different ways. I love it because I used to it used to bug I don't know if you were like this, Gerald, but I literally would take notes, you know, during a Zoom meeting and then afterwards I couldn't find the note and if I could find a note, I couldn't understand my own handwriting. So, I love you don't have to say the note. You can just go and open your notes right here on Zoom, take a note, you can share a note, you can kiss a note. It's crazy. I love it. I love it. I love it. Those are a bunch of notes, by the way. And by the way, you may be like me as Zoom Queen. People, my whole tribe and others, they want to know what's new Questa, what's going on, what's the latest and greatest that Zoom has dropped. Well, I have something that I call news from Zoom Queen. And so I use uh Zoom's Zoom Docs, which is, by the way, all of this is AI. Zoom Docs is just real time. So if I wanted to go in here, create a quick little doc, right? um all the people that have subscribed to it will automatically get a notification. Is that stupid or what? I mean, it's crazy. But again, I'm not gonna deep dive right now.

So, now we're gonna go into category two. I kind of jumped ahead of myself. We're going to go into category two. And this is cloud. This is huge. Huge. Okay. So, here is my problem. Now, I don't know if it was Ted that said this earlier, but someone said earlier or put in the chat earlier that they put down otter. Now I 100% agree with you Otter or a like tool if you are not using your own Zoom account because in order for you to leverage a lot of what I'm talking about, you really need to be the host and it needs to be your Zoom account, okay? Because it's going to go to your Zoom cloud, right? And unless you want to pay Zoom a whole lot of money and pay for extra space and all of that, then you also need to upgrade to Zoom Enterprise. Okay? But we'll talk about all that another time. So, here's the deal. Zoom Cloud is everything. And I just want to show you real quick. This is my Zoom backend that you're looking at, right? So when I literally you see you see at the top where it says virtual biz club updates and office hours announcements features blah blah blah. Okay, you see that right? Well look at this. I talked about a lot of topics here. So what Zoom does the AI part is every time I change my topic it creates another chapter. So, these are called smart chapters because some of my members when they go back and listen to this, they don't have a desire to um to to they may say, "Oh, I don't want to know about Zoom Docs. I want to know about Zoom workplace or whatever it is." So, they're able to go through all of this. Is this crazy or what? Right? And if you look at this, you may say, "Well, wait a minute, Marquesa. I don't like those words or I want my words to be different." You can edit your smart chapters. You can do whatever you want. the that's literally just a a suggestion. Um here you see um the next steps. They'll create the next steps. You can edit the next steps. You can delete the next steps. Okay. And then up here at the top, you may say, "Well, I see the the the transcript, but they spell my name wrong or I don't want that to be highlighted or what have you." You can just click literally click that uh pencil and change those words. It's ridiculous what it does. I mean, it's it's amazing. I told you it's like an employee. And remember, I teased you earlier about Zoom Clips. You see up here? So, if I wanted to share maybe just this chapter or something else, and if I wanted to share this, you know, as a Zoom clip, all I got to do is just click uh add to Zoom clips, and it's done. It goes right to Zoom clip. And by the way, I can customize my zoom clip the same way you would do with Loom. Okay. Uh here this is just a bigger picture of and I know it's kind of small here, but do you know this is one meeting? This is one meeting, but what I did is when I'm in a Zoom meeting, I like to stop the recording and then start it again, but never leave the meeting. Let me say that again. I'm in a Zoom meeting kind of like we are today, but I stop and start the recording. Why do I do that? But I don't close out the meeting because I want it all under one umbrella. So the umbrella up here is up here. But if you notice, I have my announcements here. I have a question I think I answered here. I have a feature here and blah. I mean, look at this. Both pages. And what Zoom does is it gives me literally up to 21 versions of my content. Okay, 21 plus versions of it. This is just a few of them. I have to go into the other ones another time. I just don't have that kind of time right now. But it gives me all of these versions of my content. But here's the deal. If you use an outside service such as Otter, you can't use this. You can't use most of what I'm talking about. So, it behooves you to save everything to your cloud and to use your own Zoom account. That is huge. So, yeah, I have a lot of recordings, y'all. I have like I've been, you know, on Zoom since Zoom first launched. So, I have 1.5 million recordings. And because I have Zoom Enterprise and so does Gerald and other folks. Uh, and by the way, uh, Gerald's group will also have an opportunity to upgrade with with Gerald's link. Uh, because I have that, I don't have to worry about paying for the extra the extra space. But look at that. Is that stupid or what? I love it. So, that's what I wanted to show you. And this is maybe a closer look. Look at all that, guys. And this is literally just some of the versions it gives me. Um, this is the last version I'll tell you. You see where it says highlights? Sometimes you're like, "Oh, I just want some highlights. I want to give people a sneak peek." You can literally just click watch highlights and then Zoom may put a highlight in there that you don't like. So, you can literally delight uh highlight it. And what's the opposite of highlight? Delight, low light, remove light. You can remove the highlight. It'll leave your your highlights or you can add the highlight. Bottom line is you have control but again Zoom is like that extra employee is doing all this stuff for me. Okay.

So that was category two, right? So and then bottom line and and and what I everything is under AI companion guys. This is zoom back in right here. You see this? You see this whole column that says AI companion. You see that meeting webinar team chat recording. Guys, I can't even I don't have enough time to go through all the AI stuff for you. So what is your takeaway? Your takeaway is whether it's the Zoom platform or another platform. I eat, sleep, and drink chat GPT, y'all. It helps me with my groceries. It helps me with difficult conversations. It helps me understand the Bible even better. I mean, I love myself some chat GPT. Okay. However, when it comes to Zoom, it's already built in. Zoom has done all that work for me. And so I love it and that's what I want you to take away. Leverage this platform um the best way that you can. How am I doing on time? You know, I'll go and go and go and I want to be respectful. How am I doing on time? Gerald, you're doing okay. You got a couple more minutes. More minutes. Oh, yay. Okay, cool. Cool.

So, here I just want to show you this. I'm not going to go into it at all, but this just is to give you an idea of some other ways that Zoom helps all of us when it comes to AI. What if you have custom agents? You know, in other words, different people in your business. They can be AI versions or real employees. Look at this. I have a help desk agent. I have a welcome agent. I have a marketing campaign agent and so on and so forth. You're able to create your own agents. Okay. Oh, and and get this. This is was stupid amazing. Uh oops. Let me go back. Uh oh. You know what? I think I was correct. Yeah. Yeah. Oh. Oh, no. No. No. I went too fast. Okay. Look at this. They just launched this not too long ago, and it's called the knowledge database. And I think you mentioned it earlier, Gerald, when you said that one of your members took all of the handouts and then uploaded it to their chat GPT and created their own chat GPT database. I'm I'm a little bit behind on the thingamajiggy. That's weird. Sorry about that. I don't know why. But anyway, they uh created uh that threw me off a little bit because I don't know why I'm delayed a little bit like that, but my apologies. Long as you can hear me, we good. All right? Even if the lip is ain't matching the words, we got to see why that's happening. But uh anyway, if you look over here at my slide, you will see that you can create your own knowledge database. Is that is that crazy or what? And again, the how and all that stuff will need to come up at a later time, but I just want you to know it exists. That's crazy. That's just crazy. Okay, that's crazy. So, just wanted you to kind of see that it exists. Now, it was somewhere else I was trying to go. Oh, okay. Here we go.

So, 12 plus different versions of your content. You have an employee without spending another dime and it's all accessible on your phone and then some. I love that about it. So, they call me Zoom Queen of the Virtual Business Club. And I do want to invite you to uh come hang out with me. I think it's going to be next Tuesday at 100 p.m. Eastern. And this is where I'm going to I'm going to help you do a smart tech reset. And I'm going to give you a day in the life of leveraging Zoom. a day in the life of le uh leveraging Zoom from the moment you wake up to when you go to bed. So you see this whole thing, you will literally have specific Zoom apps and instructions right underneath all these categories. So you want to make sure that you come and sign up for that. I will again share the link in a bit or actually I just well I don't think it's there but I just put the link on mquesta.nyc NYC, but I will put the actual link in the chat box there so you can check check that out. Uh, is this ROI, Gerald? I mean, hello. This is R Oi. You're working smarter instead of harder. Please, again, I can appreciate the otter of the world. I just don't want extra work. I don't I don't want something else, another tool that I got to spend extra money on and work when Zoom does all of that for me. And they do they give me like all of these versions of it. And even when I I have to tell you this little tip and I'm going to shut up. Even when I network, I heard uh someone speaking about networking earlier. And even when I network, I can't I get so excited, you know, and I can't remember everything I commit to or everything the person tells me. So after we get past the the mushy part, I will say to them, do you mind before we dive into, you know, business, do you mind if I record? And they said, "Sure." I always have my phone on me. So I just turn on my iPhone. I go to the Zoom workplace app. I hit record. I don't need the camera on. And then I begin to talk. And be and literally before I can get back to my room that evening, like way before I can get back to my room, there's literally a note in my inbox uh from my assistant, that's Zoom, saying, "You spoke to Lisa and she said she would do this." So, it's in third person. Uh and you said you would do this. That crazy, Gerald? That's what I'm talking about. So, it it's it's a huge huge deal. So guys, my goal is to give you that transformation from wasting a lot of money and a lot of time and a lot of energy. My goal is to just literally leverage that one platform. It's really, really important. Okay.

Uh Gerald, did you So that's me, Marquesta, and I want to make sure that they have the links they need. Gerald, do you have your link? If for some reason you don't have Gerald's link, as long as you put solutions uh in there, you're fine. But Gerald has his own specific link that goes to zoom2inome.com. That way I know it came under him and I want to make sure he gets that. Um and then I'll put the other links in the chat box uh so they can sign up for that here. But Gerald, this is so much fun and questions that you have and I want to make sure uh I invite you in there. Go ahead. I I invite you to uh uh look in the chat uh and uh a lot of people were very happy with you and had a lot of questions. Uh so uh one thing I encourage everybody to do is to copy and paste from the chat. Uh, what do you find interesting? Interesting. Um, can I Gerald can I answer one quick question? And I think this is gonna a lot of folks said which of the You're broadcasting twice. Twice. I'm broadcasting. What? I shouldn't be broadcasting twice. I'm broadcasting twice. Yeah, because you've got the sound on share screen. Oh, no I don't. Can you you hear me double right now? No, we can hear ourselves double. Uh, not anymore. Okay. So, am I good right now? Not anymore. Okay. Am I good right now? Yes, you're good right now. Yes. All right. Just want to make something clear. You got a choice. You can either go to Zoom. Oh, you lost me that quick. Why do you keep losing me here? Let me stop sharing, by the Okay, let me just stop sharing. Maybe that'll help. Okay, I just stopped sharing because there should be no reason. Okay, and let me just minimize that. There we go. Okay, so I should only be on here one way. Yeah. Okay, you can hear me. All right. Right. Can you hear? Okay. Okay. Um, this is Zoom Enterprise, guys. So, you have to use Gerald's link and you can only go through partners because Zoom Enterprise can be uh about 4,000 a month unless you go through a partner like me and it's still all managed by Zoom, but you got to go through Zoom Enterprise to get all of that stuff. Otherwise, you're going to have to add it on and it becomes very expensive. So, that's all I wanted to say. Make sure you get uh Gerald, you got to put your link down there so folks know where to go. Yeah, the chat isn't being cooperative right now. Okay, but I'mma put my email in chat. That way, guys, if you have questions, just email, you know, you can send me an email. I'll put it in chat, okay? and you'll get an email tomorrow uh from uh me with a uh YouTube link uh so you can watch the recording and so forth. And uh we are at the 3:22 p.m. my time and it's late evening for several of you and uh I'm detecting that there are some technical issues that are put out there. Okay. Just want to make sure you give them my handouts. Yeah. Put put your hand out in my currently locked in and uh you'll be getting an email from me next week. Okay, let me just give me a second, guys, and I'll put it in there. So, Maressa has put that in the chat. No, no, those of you that can access it. And again, it'll be also emailed out to you in the form of a PDF you can download. Okay, Mark, you just sent it over here. Yeah. Oh, we're supposed to go over here to Switchy. Okay. So, I'm making sure they get all of this because there's so many links here. So, give me a second. Um I go to Switchy and use Switchy for all my um tools. Yeah, I got that one already. Okay. So, I'm going to put this in here and thank you all for staying with us uh during these technical difficulties. Okay. Uh we normally have networking on Zoom after this. Uh today we're going to postpone it till next month. Oh, no. The handouts. Oh, here it is. All right. Got to put that in here because we're waiting on him. All right. Here we go. And Marquesta's handout. Okay. Request says hand out. Okay. Control V. Control V. Control the hell. All right. There we go. There we are. There it is. It was giving me a headache. All right. Okay. So, we've lost Gerald. Gerald. Oh, I thought so cuz it was uh I thought so. I thought it was on his end. His end. Yeah. It's It's the echo is coming through your piece of equipment. So, I'm going to have to mute you. Oh, please. Yes, absolutely. And uh we've come to the end now. We've lost Gerald. Um we won't be having the networking exercise today. I'll leave the the the meeting open for a little while so you can copy whatever you need to copy out from the the chat. So bear with me and uh thank you very much for joining us today and uh see you in a month's time.