\u003C/p>\u003Cp>How AI can level the playing field between top performers and less experienced staff\u003C/p>\u003Cp>The potential for massive cost savings and efficiency gains across various industries\u003C/p>\u003Cp>The ethical implications of AI in the workplace - threat or opportunity?\u003C/p>\u003Cp>Real-world implementation strategies and challenges\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cp>Whether you're a CEO looking to gain a competitive edge, an HR director aiming to optimize your workforce, or simply curious about the future of work, this episode is a must-listen. We'll separate hype from reality and give you actionable insights on how AI might transform your professional life.\u003C/p>\u003Cp>Tune in for a fascinating glimpse into a future where humans and AI work side by side. \u003C/p>\u003Cp>The workplace revolution is here - are you ready?\u003C/p>","episodic","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9.jpg",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_1280.jpg","https://cloud.mave.digital/58641","Sergio Voropaev",false,32,2,{"rate":24,"count":22},5,[26,29,32],{"name":27,"subcategory":28,"is_main":20},"Образование","Самосовершенствование",{"name":30,"subcategory":31,"is_main":20},"Бизнес","Управление",{"name":33,"is_main":34},"Технологии",true,[36],1,"Lets connect","ceo@greatleveler.com",{"facebook":40,"twitter":41,"instagram":40,"telegram":42,"vk":40,"patreon":40,"boosty":40},null,"https://x.com/greatlevelercom","https://t.me/greatlevelercom",{"apple_id":44,"apple":45,"google":40,"spotify":46,"yandex":47,"vk":40,"castbox":48,"soundstream":40,"deezer":49,"overcast":50,"podcastAddict":50,"pocketCasts":50,"youtube":51,"soundcloud":40,"zvuk":50,"youtubeMusic":52,"myBook":40,"litres":53},1774183463,"https://podcasts.apple.com/ru/podcast/ai-synergy/id1774183463","https://open.spotify.com/show/2799vuVV6ZM7ipuxqHsEmM?si=LFkhdF-2QqWpMAE5xAC0FQ&nd=1&dlsi=0518d31c491e497b","https://music.yandex.ru/album/33938902","https://castbox.fm/channel/id6318548?country=ru","https://deezer.com/show/1001326571","","https://www.youtube.com/playlist?list=PLinPRXtk3-haYmjeEt_urdTKOji-r07l5","https://music.youtube.com/playlist?list=PLinPRXtk3-haYmjeEt_urdTKOji-r07l5","https://www.litres.ru/podcast/sergio-voropaev/ai-synergy-71218483/",[55],{"id":56,"podcast_id":7,"name":19,"info":57,"image":58,"createdAt":59,"updatedAt":60,"contact_id":40},"dba1999e-f8b8-4181-9f09-f7bd44a86280","Founder of Great Leveler AI - a platform helping tech leaders boost productivity by 43% through AI implementation. Former Swiss VC mentor, successful founder of multiple tech startups, and expert in AI business integration and scaling.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/contacts/0361e8d5-08a5-4aab-b563-7c950643919e.jpeg","2024-11-14T10:46:22.583Z","2024-11-14T10:46:22.727Z",{"id":62,"number":63,"season":36,"title":64,"description":65,"type":66,"image":67,"audio":68,"duration":69,"is_explicit":20,"code":63,"publish_date":70,"listenings":71,"is_transcription_hidden":20,"text":72,"is_private":20,"plans":40,"video":40,"images":73,"reactions":79,"chapters":85,"relevantEpisodes":86},"443feda3-ecb3-49ad-b1ee-f062caaf8878",21,"GenAI: The Enterprise Transforming Business in 2024 report","\u003Cp>We dive deep into the transformative power of \u003Cb>artificial intelligence\u003C/b> in reshaping industries and creating groundbreaking innovations. From the latest insights in enterprise AI to real-world applications by leading brands like \u003Cb>GitHub, Everlaw, and Abnormal Security\u003C/b>, we explore how companies are harnessing AI to revolutionize fields such as \u003Cb>legal, finance\u003C/b>, and more. Learn how AI is powering tools like GitHub Co-pilot for developers, \u003Cb>Typeface \u003C/b>for personalized content creation, and \u003Cb>Squint\u003C/b> for immersive training.\u003Cbr />\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cp>We unpacks trends like multimodal \u003Cb>AI, co-pilots, and agentic automation\u003C/b> while addressing challenges like AI project failures and the looming talent drought. Whether you’re an entrepreneur, tech enthusiast, or curious professional, join us as we uncover the future of work and innovation in the AI era.\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cp>It will be useful for it teams to automate infrastructure manage \u003Cb>cybersecurity\u003C/b> and \u003Cb>predict system issues product and engineering teams \u003C/b>can speed up software development streamline quality assurance and innovate faster data scientists gain tools to analyze data automate processes and build accurate models \u003Cb>customer support\u003C/b> improves with \u003Cb>ai chatbots and assistants sales teams\u003C/b> benefit from lead generation and personalized outreach \u003Cb>marketing teams\u003C/b> create tailored campaigns faster hr and finance teams enhance recruitment training forecasting and \u003Cb>fraud detection designers\u003C/b> use ai for asset creation and branding legal teams streamline research and contract analysis making all departments more efficient and innovative\u003C/p>","full","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/443feda3-ecb3-49ad-b1ee-f062caaf8878.mp3",2430,"2024-11-30T14:05:15.716Z",68,"Speaker 02 00:00:00\n\nDid you know that in 2024, companies are expected to spend almost $14 billion on AI? That's over six times what they spent in 2023. And we're not talking about your Roomba getting smarter. Right. This is about serious investments in enterprise AI solutions that are changing the way businesses operate. We're diving deep into the Menlo Ventures report on the state of enterprise AI. to see what's really going on.\n\nSpeaker 01 00:00:30\n\nIt's fascinating how quickly we've moved from a few pilot projects to AI becoming a core business strategy, You know, this report shows that 72% of IT decision makers expecting even wider adoption of AI in their companies soon.\n\nSpeaker 02 00:00:46\n\nOkay, so everyone's jumping on the AI bandwagon. But the report also says that over a third of these decision makers don't actually have a solid plan for how to implement it. That seems a little, well, risky, doesn't it?\n\nSpeaker 01 00:01:01\n\nit does highlight a potential disconnect. There's a lot of enthusiasm. but perhaps not enough strategic thinking. about how to make this transition successfully. What's interesting is where the money's coming from. 60% is from innovation budgets. which makes sense since it's still early days for enterprise AI. But 40% is coming from permanent budgets. which signals a deeper commitment.\n\nSpeaker 02 00:01:26\n\nAnd almost 60% of that permanent budget is being redirected from other areas. That tells me this isn't just a passing fad. they're moving money around to make room for AI. Right. What does that say about the future of those other areas?\n\nSpeaker 01 00:01:42\n\nIt suggests that AI is seen as a more strategic investment. potentially offering a greater return than those other areas. Right. This shift is happening across departments, not just within IT.\n\nSpeaker 02 00:01:54\n\nSpeaking of shifts, what about jobs? When I hear AI, I automatically think robots taking over.\n\nSpeaker 01 00:02:00\n\nThat's a common concern, but actually, this report shows that AI is creating jobs. Some of the fastest growing roles are AI prompt engineers, AI trainers, and even AI ethicists.\n\nSpeaker 02 00:02:13\n\nThat sounds so futuristic. What do they actually do?\n\nSpeaker 01 00:02:17\n\nThey help ensure that AI is developed and used responsibly. It's a crucial role, bridging the gap between the technology itself and its impact on people.\n\nSpeaker 02 00:02:25\n\nSo it's not about replacing humans entirely. It's about finding ways for humans and AI to work together. That makes me feel a bit better. But it also sounds like people might need to start learning new skills to stay relevant in this AI powered world.\n\nSpeaker 01 00:02:41\n\nThe report even highlights the growing demand for specialized AI skills. It predicts a major talent trout. with intense competition and soaring salaries for skilled AI professionals.\n\nSpeaker 02 00:02:53\n\nOkay, so maybe robots aren't taking over just yet. but it sounds like AI is definitely shaking things up in the job market. Let's move on to how companies are actually using AI. I'm guessing it's not just for super techie stuff anymore.\n\nSpeaker 01 00:03:06\n\nYou're right. The report highlights how AI is being used in a range of departments from sales and marketing to HR, finance and even legal departments.\n\nSpeaker 02 00:03:16\n\nLegal departments. Yeah. That's interesting. Yeah. I don't usually think of lawyers as being on the cutting edge of technology.\n\nSpeaker 01 00:03:21\n\nWell, think about what lawyers do. They deal with massive amounts of data. Right. Complex documents. and tons of research. AI can help streamline those processes. Companies like Everlaw are using AI to make e-discovery and trial preparation more efficient. Harvey and Spellbook are using AI to help with contract review and legal research.\n\nSpeaker 02 00:03:45\n\nSo AI is basically becoming everyone's new assistant. from software developers to lawyers.\n\nSpeaker 01 00:03:51\n\nAnd that brings us to the rise of the co-pilots.\n\nSpeaker 02 00:03:54\n\nfew pilots, like in a plane.\n\nSpeaker 01 00:03:57\n\nBut in this case, a co-pilot is an AI assistant for specific tasks. The most popular type right now is the code copilot. 51% of businesses are using them, with GitHub Copilot leading the way.\n\nSpeaker 02 00:04:10\n\nThat makes sense. Coding can be incredibly time consuming. So AI is stepping in to help programmers be more efficient.\n\nSpeaker 01 00:04:17\n\nExactly. There are even copilots for specific software development tasks. Harness has an AI DevOps engineer. And All Hands offers a QA assistant for pipeline generation and test automation.\n\nSpeaker 02 00:04:32\n\nWow. So theoretically, you could have an AI that writes your code. A&D tests it for you. But let's be real. AI isn't just about making developers' lives easier. It's also changing the game for things like customer support.\n\nSpeaker 01 00:04:48\n\nRight, absolutely. Support chatbots are huge right now. 31% of companies are using them.\n\nSpeaker 02 00:04:54\n\nI've definitely encountered more chatbots than ever before. Some are definitely better than others, though. It's pretty obvious when you're dealing with a clunky bot versus a helpful one.\n\nSpeaker 01 00:05:03\n\nRight. That's why companies like Izura and Observe AI are focusing on creating AI-powered support chatbots that are actually helpful for both customers and employees.\n\nSpeaker 02 00:05:13\n\nOK, so we've got co-pilots for coding, co-pilots for support. What other areas are seeing this AI assistant trend?\n\nSpeaker 01 00:05:21\n\nEnterprise search and data tools are also booming. Companies like Glean and Sana are using AI to make it easier to find and analyze information across your entire organization. Think about how much time you spend searching for the right document. AI can help with that.\n\nSpeaker 02 00:05:39\n\nThat would be a lifesaver. I feel like I spend half my life just searching for things. What about those endless meetings we all have to sit through? Did AI help with that too?\n\nSpeaker 01 00:05:48\n\nIt can. Meeting summarization tools are becoming increasingly popular. Tools like Fireflies.ai and Fathom are taking notes and highlighting key takeaways.\n\nSpeaker 02 00:05:59\n\nOkay. So AI is making our work lives less tedious and more efficient. Right. But let's talk about the elephant in the room. Cost. Yeah. All of this sounds pretty expensive. Are companies building these AI solutions themselves or are they buying them?\n\nSpeaker 01 00:06:14\n\nInterestingly, it's almost a tie. 47% of AI solutions are being built in-house, while 53% are being purchased from vendors. This is a significant shift from 2023. when 80% of companies relied on vendors for their AI solutions.\n\nSpeaker 02 00:06:33\n\nSo companies are becoming more confident in their ability to handle AI themselves.\n\nSpeaker 01 00:06:38\n\nIt's certainly an interesting development. It suggests that companies are becoming more comfortable with the technology and are willing to invest in building their own solutions. It also raises questions about how accessible AI expertise is becoming.\n\nSpeaker 02 00:06:52\n\nOkay, so for those who are buying AI solutions, what are their top priorities? Is it all about finding the cheapest option?\n\nSpeaker 01 00:06:58\n\nSurprisingly, price is barely a factor. Oh, wow. Only 1% of decision makers said price was their main concern. Wow. What they're really focused on is ROI. 30% want tools that deliver measurable value, and 26% want solutions that are customized for their specific industry.\n\nSpeaker 02 00:07:16\n\nSo it's not about being cheap. It's about getting real results. Yeah. Makes sense. But even with the best intentions. Right. Sometimes projects fail. What are some of the reasons AI projects go wrong?\n\nSpeaker 01 00:07:27\n\nUnexpected implementation costs are a major factor cited in 26 percent of failed projects. Then there are data privacy concerns and disappointing ROI. each accounting for about 20% of failures.\n\nSpeaker 02 00:07:41\n\nIt's not just about the cost of the AI itself. It's about understanding all the associated costs. and ensuring the solution truly addresses your needs.\n\nSpeaker 01 00:07:50\n\nExactly. And then of course there are the technical glitches. those hallucinations that AI is prone to can also cause problems.\n\nSpeaker 02 00:07:58\n\nAh, yes. When AI just makes stuff up. Right. I've seen that happen and it's definitely not ideal.\n\nSpeaker 01 00:08:03\n\nThose hallucinations were cited in about 15% of AI project failures. It highlights the fact that even though AI is powerful, it's not perfect. Careful planning and a realistic understanding of the potential pitfalls are essential.\n\nSpeaker 02 00:08:19\n\nSo who's actually footing the bill for all of this AI? Which departments are spending the most?\n\nSpeaker 01 00:08:24\n\nIT departments are, unsurprisingly, leading the charge with 22% of the spending. But it's not just them. Product and engineering teams combined are spending 27%. which shows how deeply integrated AI is becoming in the development process. The rest of the spending is spread across a range of departments, including sales, marketing, HR, finance. Pretty much everyone is finding ways to use AI.\n\nSpeaker 02 00:08:51\n\nAI really is everywhere. But I'm curious about the specific industries that are being impacted the most. Are there any standouts?\n\nSpeaker 01 00:08:59\n\nThe report highlights two industries in particular, legal and financial services.\n\nSpeaker 02 00:09:05\n\nLet's start with legal. I'm still fascinated by the idea of lawyers using AI. What are some of the specific ways it's being used in that field?\n\nSpeaker 01 00:09:14\n\nWe touched on a few earlier, but there are even more companies doing interesting things besides Everlaw, Harvey and Spellbook. There's also even up, which is using AI to analyze legal documents and identify potential claims. and Eve, which is using AI to streamline the process of filing lawsuits.\n\nSpeaker 02 00:09:36\n\nSo AI is helping lawyers be more efficient. And potentially even level the playing field for people who might not have the resources to hire a high-powered legal team. What about financial services? How is AI changing that industry?\n\nSpeaker 01 00:09:50\n\nFinancial services companies are spending $100 million on enterprise AI this year alone. This industry is all about data, complex regulations, and critical workflows, which makes it ripe for AI disruption.\n\nSpeaker 02 00:10:03\n\nMakes sense. So how are they actually using AI?\n\nSpeaker 01 00:10:05\n\nThere are startups like Numeric and Clarity using AI to revolutionize accounting. Then there are companies like Arkefi and Rogo using AI to speed up financial research.\n\nSpeaker 02 00:10:15\n\nSo AI is helping with everything from crunching numbers to analyzing market trends.\n\nSpeaker 01 00:10:19\n\nExactly. And there's Arch disrupting back office processes for investment firms with their AI powered solutions.\n\nSpeaker 02 00:10:25\n\nWow, it sounds like no corner of the financial industry is safe from the AI revolution.\n\nSpeaker 01 00:10:31\n\nAnd then you have companies like Orbi and Cima 4 offering broader AI solutions that start with things like reconciliation and reporting.\n\nSpeaker 02 00:10:40\n\nSo many different approaches to using AI in finance. What about companies like Greenlight and Norm AI?\n\nSpeaker 01 00:10:48\n\nThey're focused on compliance. They use AI to provide real-time monitoring helping companies keep up with those ever-changing regulations.\n\nSpeaker 02 00:10:58\n\nAI is helping financial companies stay on the right side of the law. Yes. That's a pretty important role.\n\nSpeaker 01 00:11:04\n\nAnd all of this AI wizardry is powered by a complex tech stack behind the scenes.\n\nSpeaker 02 00:11:09\n\nAh, yes, the tech stack. This is where it gets really complicated.\n\nSpeaker 01 00:11:14\n\nbut it's also incredibly fascinating. at the heart of it all are foundation models yeah the brains of enterprise ai Okay.\n\nSpeaker 02 00:11:25\n\nThese foundation models are costing companies a fortune, aren't they? Companies are projected to spend $6.5 billion on foundation models this year.\n\nSpeaker 01 00:11:34\n\nWow, okay, so walk me through this tech stack. What else is involved besides the foundation models?\n\nSpeaker 02 00:11:40\n\nOne interesting trend is the rise of multi-model strategies. Companies are using three or more foundation models, not just one.\n\nSpeaker 01 00:11:48\n\nWhy is that? Isn't one brain enough?\n\nSpeaker 02 00:11:51\n\nWell, different models excel at different things. Some are better at generating text, while others are better at analyzing data or recognizing images. By using multiple models, companies can combine their strengths and get the best of all worlds.\n\nSpeaker 01 00:12:08\n\nSo it's like having a team of AI specialists, each with their own unique skillset.\n\nSpeaker 02 00:12:14\n\nAnd then there's the debate about open source versus closed source models.\n\nSpeaker 01 00:12:17\n\nOkay. Break that down for me. What's the difference?\n\nSpeaker 02 00:12:19\n\nClosed source models are like proprietary software. You don't have access to the code and have to pay for a license to use them.\n\nSpeaker 01 00:12:26\n\nOPI source models are freely available for anyone to use and modify.\n\nSpeaker 02 00:12:30\n\nSo which type of model is more popular?\n\nSpeaker 01 00:12:32\n\nClosed source models are still dominant with 81% market share, but open source is holding steady at 19%. So there's definitely growing interest in using models that are freely available.\n\nSpeaker 02 00:12:44\n\nInteresting. Are there specific companies that are leading the way in these different approaches?\n\nSpeaker 01 00:12:49\n\nOpenAI, the company behind GPT-4, used to be the dominant player in the closed source world. but their market share has dropped from 50% to 34%.\n\nSpeaker 02 00:13:00\n\nWow, that's a significant drop. Who's taking their place?\n\nSpeaker 01 00:13:03\n\nAnthropic is the biggest winner here. They've doubled their enterprise presence from 12% to 24%.\n\nSpeaker 02 00:13:09\n\nWhat's so special about Antropic?\n\nSpeaker 01 00:13:11\n\nTheir Claude model has been getting a lot of attention, particularly after the release of Claude 3.5 Sonnet, which has some groundbreaking capabilities.\n\nSpeaker 02 00:13:19\n\nLike, what can it do that other models can't?\n\nSpeaker 01 00:13:23\n\nWell, for one thing, it can actually use computers Which is a pretty big deal in the AI world.\n\nSpeaker 02 00:13:28\n\nSo it's not just generating text anymore, it's actually interacting with software.\n\nSpeaker 01 00:13:33\n\nThis opens up a whole new world of possibilities for what AI can do.\n\nSpeaker 02 00:13:37\n\nOkay. So we've got foundation models. Right. Multi-model strategies. The open source versus closed source debate. What else is going on in the tech stack?\n\nSpeaker 01 00:13:47\n\nLet's talk about design patterns. These are standardized architectures for building efficient and scalable AI systems.\n\nSpeaker 02 00:13:54\n\nOkay. And what are the hot trends in design patterns right now?\n\nSpeaker 01 00:13:57\n\nThe biggest one is RREG. which stands for Recreival Augmented Generation. It's now used in 51% of AI systems, up from just 31% last year.\n\nSpeaker 02 00:14:08\n\nWow, that's a huge jump. What exactly is RAC?\n\nSpeaker 01 00:14:11\n\nBasically, ROA combines information retrieval with text generation. So instead of just generating text from scratch, The AI can also access and use relevant information from a database or other external source.\n\nSpeaker 02 00:14:25\n\nSo it's like giving the AI a library to work with, which makes its output much more informed and relevant.\n\nSpeaker 01 00:14:33\n\nAnother interesting trend is the emergence of agentic architectures. which power 12% of AI implementations.\n\nSpeaker 02 00:14:41\n\nAgentic architectures. That sounds incredibly complex.\n\nSpeaker 01 00:14:45\n\nBasically, these are AI systems that can act autonomously. to achieve specific goals.\n\nSpeaker 02 00:14:51\n\nSo like an AI personal assistant that can book your flights. schedule your meetings and manage your entire calendar.\n\nSpeaker 01 00:14:58\n\nExactly. Okay. And then there's fine tuning. is the process of customizing a pre-trained AI model for a specific task.\n\nSpeaker 02 00:15:06\n\nSo you're basically teaching the AI to be an expert in a particular area.\n\nSpeaker 01 00:15:11\n\nBut surprisingly, fine tuning is still relatively rare. Only 9% of production models are being fine-tuned.\n\nSpeaker 02 00:15:20\n\nI would have thought that would be more common.\n\nSpeaker 01 00:15:21\n\nIt's definitely something to watch in the future. companies become more sophisticated in their use of AI.\n\nSpeaker 02 00:15:27\n\nOkay, so we've got regulated kitchen architecture. and fine-tuning What about the data infrastructure? How are companies managing all the data these AI systems need?\n\nSpeaker 01 00:15:37\n\nTraditional databases like Postgres and MongoDB are still widely used, but there's also a growing demand for AI-specific databases like Pinecone.\n\nSpeaker 02 00:15:46\n\nWhat's so special about Pinecone?\n\nSpeaker 01 00:15:48\n\nIt's a vector database. specifically designed for storing and retrieving the kind of data that AI systems need.\n\nSpeaker 02 00:15:55\n\nAh, so it's like a specialized filing system for AI.\n\nSpeaker 01 00:15:58\n\nExactly. And then there's the challenge of preparing data for AI. real-world data can be messy, And AI needs it to be clean and organized.\n\nSpeaker 02 00:16:07\n\nYou can't just feed AI a bunch of random information and expect it to make sense of it.\n\nSpeaker 01 00:16:11\n\nExactly. Traditional data preparation tools are still being used. But we're also seeing the rise of specialized tools like unstructure, designed to handle the nuances of unstructured data like PDFs and HTML.\n\nSpeaker 02 00:16:25\n\nSo the whole tech stack is evolving to support the unique needs of AI. It's amazing how quickly this field is changing.\n\nSpeaker 01 00:16:32\n\nIt really is. And it's only going to get more complex and sophisticated in the years to come.\n\nSpeaker 02 00:16:37\n\nSpeaking of the future, Menlo Ventures has some bold predictions about where AI is heading. One of the most intriguing is the rise of agentic automation. Okay, we talked about agentic architecture. Is this basically the next step?\n\nSpeaker 01 00:16:52\n\nExactly. Menlo Ventures believes these AI agents will be able to handle even more complex multi-step tasks going way beyond what current AI systems can do.\n\nSpeaker 02 00:17:02\n\nSo we're talking about AI. They can not only generate text and analyze data, but actually take action in the real world. And this has the potential to disrupt some huge industries. Menlo Ventures estimates that agentic automation could shake up the $400 billion software market. and even make a dent in the $10 trillion U.S. services economy. Wow, those are some big numbers. Yeah. Are there any companies already working on this kind of next level AI?\n\nSpeaker 01 00:17:34\n\nCompanies like Clay and Forge are building platforms that use agentic AI to automate complex tasks.\n\nSpeaker 02 00:17:40\n\nSo this is really happening. Yeah. It's not just science fiction anymore.\n\nSpeaker 01 00:17:43\n\nIt's becoming reality and it's happening fast. Menlo Ventures highlights the disruption already happening in some industries. They point to the example of ChatGPT's impact on Chegg and Stack Overflow, Chegg, an education technology company, saw 85% of its market cap disappear. as ChatGPT took over its turf, and Stack Overflow, a popular website for programmers, saw its web traffic cut in half.\n\nSpeaker 02 00:18:12\n\nWow, that's brutal. Yeah. So what other industries are ripe for disruption?\n\nSpeaker 01 00:18:16\n\nMenlo Ventures believes IT outsourcing firms like Cognizant and legacy automation players like UiPath should be worried. They're facing competition from AIA-native startups. that can offer similar services at a fraction of the cost.\n\nSpeaker 02 00:18:29\n\nOkay, so the AI revolution is coming for a lot of jobs. Yeah. But aren't there going to be a lot of new jobs created in the AI field? Absolutely.\n\nSpeaker 01 00:18:37\n\nBut that brings us to Menlo Ventures' other big prediction. the AI talent drought is gonna get even worse.\n\nSpeaker 02 00:18:45\n\nOh no. Yeah. Why is that?\n\nSpeaker 01 00:18:47\n\nAs AI systems become more complex and sophisticated, The demand for AI expertise is going to skyrocket. But there just aren't enough skilled professionals to meet that demand.\n\nSpeaker 02 00:18:59\n\nSo it's going to be a battle for the best AI talent.\n\nSpeaker 01 00:19:03\n\nAnd that means companies are going to have to pay top dollar to attract and retain the best people. Menlo Ventures predicts that salaries for skilled AI professionals could easily double or even triple in the coming years.\n\nSpeaker 02 00:19:16\n\nWow, that's good news for anyone with AI skills. What about companies that can't afford to pay those kinds of salaries?\n\nSpeaker 01 00:19:22\n\nIt's going to be a challenge, even if companies invest in training programs. and build AI centers of excellence, The gap between supply and demand for AI talent is going to be huge.\n\nSpeaker 02 00:19:34\n\nSo the future of work is changing rapidly. Yes. And it's not just about automation replacing jobs. It's also about a whole new set of skills and a fierce competition for the people who have them.\n\nSpeaker 01 00:19:44\n\nExactly. And this is happening across a wide range of industries.\n\nSpeaker 02 00:19:48\n\nOK, so let's talk about some specific examples. Sure. How are companies like Continental, Michelin and Nestle using AI?\n\nSpeaker 01 00:19:55\n\nThese companies are all using AI to capture what they call tribal knowledge. and maintain high standards in their factories. They're working with a company called Squint. to transform their instructional materials into immersive augmented reality experiences.\n\nSpeaker 02 00:20:13\n\nSo they're using AI to train their workers in a more engaging and interactive way. Is that what tribal knowledge means?\n\nSpeaker 01 00:20:21\n\nIt is. Tribal knowledge refers to the accumulated wisdom and experience within a company or team that isn't always written down or formalized. Think of it as the unwritten rules or the tricks of the trade that experienced workers pass down to new employees. Using AI to capture and share this knowledge helps improve safety, reduce errors, and ensure consistent throughput.\n\nSpeaker 02 00:20:46\n\nWhat about a company like CodeSignal? How are they using AI?\n\nSpeaker 01 00:20:49\n\nCodeSignal is using AI to help companies identify top engineering talent. They've developed a platform that automates coding assessments, personalizes question difficulty, and even detects plagiarism.\n\nSpeaker 02 00:21:03\n\nSo they're using AI to streamline the hiring process and make sure they're getting the best candidates.\n\nSpeaker 01 00:21:08\n\nExactly. And then there's abnormal security, which is using AI to protect companies from email threats. phishing and business email compromise.\n\nSpeaker 02 00:21:18\n\nRight. That's a huge EE problem for businesses these days. How effective is AI at stopping these kinds of attacks?\n\nSpeaker 01 00:21:26\n\nAbnormal Security claims that their AI-powered system can prevent up to $4 million in potential losses each year for their clients.\n\nSpeaker 02 00:21:33\n\nWow, that's significant. So they're basically using AI to spot suspicious emails before they can do any damage.\n\nSpeaker 01 00:21:40\n\nExactly, they're looking for anomalies and patterns that indicate a potential attack What about Typeface?\n\nSpeaker 02 00:21:47\n\nHow are they using AI?\n\nSpeaker 01 00:21:49\n\nTypeface is helping Fortune 500 companies create personalized on-brand content at scale.\n\nSpeaker 02 00:21:56\n\nSo they're using AI to help companies with their marketing and advertising.\n\nSpeaker 01 00:22:01\n\nWith Typeface, brands can quadruple their advertising output slash production time by half and save hundreds of hours each month.\n\nSpeaker 02 00:22:10\n\nThat's incredible. And it all sounds very promising. But what about Menlo Ventures themselves? What are they doing in the AI space?\n\nSpeaker 01 00:22:17\n\nWell, Menlo Ventures is definitely putting their money where their mouth is. They're actively investing in companies that are shaping the future of AI.\n\nSpeaker 02 00:22:25\n\nDo they have any specific portfolio companies that are worth mentioning?\n\nSpeaker 01 00:22:29\n\nAbsolutely. Their portfolio includes companies like Abnormal Security, which we just talked about, as well as Anthropic, which is developing those cutting edge Claude models.\n\nSpeaker 02 00:22:39\n\nOkay, so they're investing in both the cybersecurity and the foundation model aspects of AI.\n\nSpeaker 01 00:22:45\n\nWell, they're also invested in companies like Arch. As well as companies like Clean Lab- Illios, Genesis Therapeutics, Harness, Higgs Field Neon, OpenSpace, Pinecone, Recursion, Sana, Squint, Typeface, Unstructured, Vilja, and Zyra.\n\nSpeaker 02 00:23:04\n\nWow, it's a lot of companies. It sounds like they're covering a pretty broad range of AI applications.\n\nSpeaker 01 00:23:11\n\nAnd these are just a few examples. Menlo Ventures is clearly committed to backing the companies that are building the future of AI.\n\nSpeaker 02 00:23:18\n\nIt's amazing to see how much progress has been made in AI in such a short time. It sounds like we're just getting started. think we've covered a lot of ground here. Yes. Why don't we take a pause and come back to this incredible report in just a few minutes.\n\nSpeaker 01 00:23:31\n\nSounds good. Welcome back to our deep dive into the world of enterprise AI.\n\nSpeaker 02 00:23:35\n\nSo far, we've uncovered some truly eye-opening insights from the Menlo Ventures report. It seems like AI is rapidly becoming a core strategy for businesses across all sorts of industries.\n\nSpeaker 01 00:23:47\n\nAbsolutely and the rate of adoption is only expected to accelerate. We're seeing significant investments in AI with companies shifting resources to make room for this transformative technology.\n\nSpeaker 02 00:24:01\n\nOne of the things that struck me was the prediction about agentic automation. becoming the next big wave of AI. It sounds like something straight out of science fiction.\n\nSpeaker 01 00:24:11\n\nI know it's pretty mind blowing to think about AI systems that can act independently to achieve complex goals. But as we discussed earlier, this isn't just a futuristic fantasy. It's already starting to happen. Companies like Clay and Forge are building platforms that utilize agentic AI to handle intricate tasks. And we're seeing tangible disruptions in industries like education and software development.\n\nSpeaker 02 00:24:34\n\nThe example of Chegg losing 85% of its market cap because of ChatGPT is a stark reminder of how quickly things can change. It makes you wonder what's next. Which industries are going to be most affected by this wave of agentic automation?\n\nSpeaker 01 00:24:50\n\nMenlo Ventures believes that IT outsourcing firms like Cognizant and legacy automation players like UiPath are particularly vulnerable. They're facing stiff competition from AI native startups that can offer similar services at a fraction of the cost.\n\nSpeaker 02 00:25:07\n\nIt sounds like a classic case of disruption. establish players being challenged by nimble newcomers with a technological edge. But let's not forget, agentic automation isn't just about replacing jobs. It's also about creating new opportunities.\n\nSpeaker 01 00:25:22\n\nAbsolutely. However, Menlo Ventures also predicts a deepening AI talent drought. which could hinder widespread adoption and innovation.\n\nSpeaker 02 00:25:31\n\nThat seems counterintuitive. if AI is creating all these new jobs, Wouldn't that naturally lead to more people developing AI skills?\n\nSpeaker 01 00:25:39\n\nYou'd think so, but the demand for AI expertise is growing at such an exponential rate that the supply simply can't keep up. As AI systems become more complex, The need for highly skilled professionals to design, build, and maintain them is skyrocketing.\n\nSpeaker 02 00:25:54\n\nSo it's not just about having basic coding skills anymore. You need specialized knowledge and experience to thrive in this AI-powered world.\n\nSpeaker 01 00:26:04\n\nMenlo Ventures predicts that salaries for skilled AI professionals could easily double or even triple in the coming years as companies scramble to attract and retain top talent.\n\nSpeaker 02 00:26:16\n\nThat's a pretty compelling incentive to start learning about AI. But what about companies that can't afford to pay those kinds of salaries?\n\nSpeaker 01 00:26:22\n\nIt's definitely going to be a challenge. Even if they invest in training programs and build AI centers of excellence, they'll still face fierce competition. It's crucial for companies to think creatively about attracting and retaining AI talent. perhaps by offering flexible work arrangements, prioritizing professional development opportunities, or even partnering with universities to create pipelines of skilled graduates.\n\nSpeaker 02 00:26:48\n\nSo it's not just about throwing money at the problem. Right. It's about creating a work environment that's attractive to AI professionals. and investing in the development of existing employees.\n\nSpeaker 01 00:26:58\n\nCompanies need to start thinking about how they can upskill their workforce. and prepare their employees for the new reality of AI integration.\n\nSpeaker 02 00:27:07\n\nAll this talk about agentic automation and talent droughts makes the future of work seem a bit uncertain.\n\nSpeaker 01 00:27:16\n\nI wouldn't say worried, but definitely aware and prepared. it's crucial to stay informed about the latest developments in AI. Explore how it can be applied within your own industry and don't shy away from experimenting with new tools and platforms.\n\nSpeaker 02 00:27:34\n\nEmbrace continuous learning and don't be afraid to fail along the way.\n\nSpeaker 01 00:27:39\n\nThe AI landscape is constantly evolving and the only way to stay ahead of the curve is to embrace a mindset of constant learning and adaptation.\n\nSpeaker 02 00:27:46\n\nOkay, that's reassuring. It's easy to get caught up in the hype and fear surrounding AI. but ultimately it's a tool that we can use to solve problems and create a better future.\n\nSpeaker 01 00:27:55\n\nI agree. While there are certainly challenges to address AI also presents incredible opportunities for innovation and progress.\n\nSpeaker 02 00:28:04\n\nWe've talked a lot about the broad implications of AI, but I'm curious about some specific examples of how companies are utilizing AI right now. particularly in sectors like healthcare.\n\nSpeaker 01 00:28:16\n\nHealthcare is a fascinating area where AI is already making a significant impact. Companies are harnessing AI to develop new drugs. diagnose diseases earlier and more accurately, and even personalized treatment plans based on individual patient data.\n\nSpeaker 02 00:28:33\n\nAI is literally saving lives.\n\nSpeaker 01 00:28:35\n\nYeah it's incredible.\n\nSpeaker 02 00:28:36\n\nThat's incredible. Can you give me some examples of companies that are pioneering this lifesaving work?\n\nSpeaker 01 00:28:41\n\nCertainly. One company making waves is Recursion Pharmaceuticals. They're using AI to analyze massive data sets of biological images to identify potential drug targets. which could significantly speed up the drug discovery they're basically using AI to accelerate the development of new treatments for diseases. Another company pushing the boundaries is Genesis Therapeutics. They're using AI to design new drugs from scratch. which has the potential to revolutionize the pharmaceutical industry.\n\nSpeaker 02 00:29:12\n\nDesigning drugs from scratch with AI. It sounds almost too good to be true. What about diagnosing diseases? How is AI being used in that area?\n\nSpeaker 01 00:29:25\n\nThere are companies like Vilja developing AI-powered diagnostic tools that can analyze medical images, such as x-rays and scans, and identify potential problems much faster and more accurately than human doctors can.\n\nSpeaker 02 00:29:39\n\nSo AI is becoming like a super powered medical assistant. helping doctors make more informed decisions and hopefully catching diseases at earlier stages when treatment is more effective.\n\nSpeaker 01 00:29:50\n\nAnd then there's the whole area of personalized medicine where AI is used to tailor treatment plans to each individual patient based on their unique genetic makeup, lifestyle and other factors.\n\nSpeaker 02 00:30:00\n\nPersonalized medicine sounds like the future of health care. Are there any companies leading the charge in this area?\n\nSpeaker 01 00:30:06\n\nAbsolutely. Zyra is a great example. They're using AI to analyze vast amounts of patient data, including medical records, genetic information, and even lifestyle data to identify the most effective treatments for each individual.\n\nSpeaker 02 00:30:22\n\nSo instead of a one-size-fits-all approach to medicine, we're moving towards a more individualized and targeted approach thanks to AI.\n\nSpeaker 01 00:30:32\n\nAnd this is just the tip of the iceberg when it comes to AI's potential in healthcare. There are countless other applications being explored from robotic surgery to drug delivery systems.\n\nSpeaker 02 00:30:42\n\nIt's amazing to think how AI is already transforming so many different aspects of our lives, especially in such critical areas as healthcare.\n\nSpeaker 01 00:30:50\n\nIt truly is. And as with any transformative technology, There are challenges and ethical considerations we need to address as AI becomes more deeply integrated into our lives.\n\nSpeaker 02 00:31:01\n\nRight. It's not all about the shiny new possibility. There are potential downsides and unintended consequences we need to be aware of.\n\nSpeaker 01 00:31:11\n\nWe need to ensure that AI is developed and used responsibly with careful consideration of its impact on individuals and society as a whole. One of the biggest challenges is data. AI systems require vast amounts of data to function effectively. And that data needs to be high quality, well-organized, and free from biases.\n\nSpeaker 02 00:31:35\n\nAh, the old garbage in, garbage out problem. It makes sense that if you train an AI system on biased or flawed data. Right. it's going to produce biased or flawed results.\n\nSpeaker 01 00:31:46\n\nPrecisely. Data quality and bias are critical considerations when developing and deploying AI systems. And of course, there is the ethical dilemma of job displacement. while AI can create new opportunities, It can also lead to the automation of certain tasks and roles, potentially leaving some workers behind.\n\nSpeaker 02 00:32:04\n\ncan't just ignore the potential impact on people's livelihoods as AI becomes more prevalent in the workplace.\n\nSpeaker 01 00:32:09\n\nExactly. It's crucial to have open and honest conversations about the ethical implications of AI and develop strategies to mitigate potential negative consequences. This includes investing in reskilling programs, fostering a culture of lifelong learning and creating social safety nets for those who may be affected by job displacement.\n\nSpeaker 02 00:32:30\n\nSo it's not just about blindly embracing AI. It's about approaching it with a critical and thoughtful mindset, weighing the potential benefits against the potential risks. and making sure that its development and deployment are guided by ethical principles.\n\nSpeaker 01 00:32:47\n\nWe need to ensure that AI is used to enhance human capabilities, not replace them entirely. and that its benefits are shared broadly across society. not just concentrated in the hands of a few.\n\nSpeaker 02 00:32:59\n\nIt sounds like there's a lot to consider as we navigate this new AI-powered world. It is. But I'm curious, what are some practical steps companies can take to mitigate the challenges and ensure their AI projects are successful?\n\nSpeaker 01 00:33:11\n\nOne crucial strategy is to start small and focus on specific use cases where AI can have a clear and measurable impact. Don't try to boil the ocean. Begin with a well defined problem that AI can help you solve.\n\nSpeaker 02 00:33:25\n\nSo choose your battles wisely and don't try to implement AI for everything all at once.\n\nSpeaker 01 00:33:31\n\nIt's also essential to have the right data and the right talent in place before diving Make sure your data is clean, organized, relevant to the problem you're trying to solve. And make sure you have access to skilled AI professionals who can design, build, and maintain your AI system.\n\nSpeaker 02 00:33:49\n\nOkay, so data quality and talent acquisition are paramount.\n\nSpeaker 01 00:33:54\n\nHaving a clear strategy and a roadmap for how you're going to implement AI is also vital. Don't just jump in without a plan. Define your goals. Outline your approach and set realistic expectations for what you can achieve with AI.\n\nSpeaker 02 00:34:09\n\nSo plan your work and work your plan just like with any other major initiative.\n\nSpeaker 01 00:34:14\n\nAnd don't forget the importance of communication. Keep your stakeholders informed throughout the process. them know what you're doing. why you're doing it and what the expected outcomes are.\n\nSpeaker 02 00:34:26\n\nTransparency is key, especially when you're dealing with a technology that can seem mysterious or even intimidating to some people.\n\nSpeaker 01 00:34:34\n\nAbsolutely. And finally Remember that AI is a constantly evolving field. Be prepared to iterate. adapt and change course as needed. What works today might not work tomorrow. So be flexible and embrace a culture of continuous learning and improvement.\n\nSpeaker 02 00:34:54\n\nIt's a good reminder that implementing AI isn't a one and done kind of thing. It's an ongoing process that requires constant attention, refinement, and a willingness to learn from your mistakes.\n\nSpeaker 01 00:35:07\n\nExactly. And that's what makes it so exciting. The world of AI is full of possibilities, and those who are willing to embrace the challenges and opportunities it presents will be the ones who shape the future.\n\nSpeaker 02 00:35:19\n\nWe've covered a vast amount of ground in this deep dive. We have. And it's clear that AI is no longer just a buzzword. Right. It's a transformative force. It's reshaping businesses and industries at an unprecedented pace. But before we get too carried away, let's pause here and continue our exploration in the next segment. Welcome back to the Deep Dive. We've been exploring the exciting and sometimes daunting world of enterprise AI. guided by the insights from the Menlo Ventures report.\n\nSpeaker 01 00:35:53\n\na fascinating journey, hasn't it? We've seen how AI is not just a technological advancement, but a force that's reshaping businesses, industries, and even the very nature of work itself.\n\nSpeaker 02 00:36:06\n\nIt's clear that AI is no longer a futuristic concept. Right. It's a present reality that companies are actively grappling with from legal departments to financial institutions to manufacturing floors. AI is finding its way into every nook and cranny of the business world.\n\nSpeaker 01 00:36:21\n\nAnd it's not just about automating tasks or improving efficiency. AI is also enabling companies to uncover hidden insights. make more informed decisions and create entirely new products and services.\n\nSpeaker 02 00:36:34\n\nBut as we've discussed, this rapid AI evolution comes with its share of challenges, potential for job displacement, the ethical considerations surrounding data privacy and bias, and the ever-widening gap between the demand for and supply of AI talent. are all issues that we need to address head on.\n\nSpeaker 01 00:36:54\n\nIt's crucial to approach AI implementation with a balanced perspective, recognizing both its immense potential and the potential pitfalls Blindly embracing AI without considering its broader implications could lead to unintended consequences.\n\nSpeaker 02 00:37:11\n\nSo as we wrap up this deep dive, I'm curious to hear your thoughts on the big picture. What does the future hold for enterprise AI? And what key takeaways should our listeners keep in mind as they navigate this evolving landscape?\n\nSpeaker 01 00:37:26\n\nI believe AI will become increasingly integrated into every facet of business operations. We'll see more sophisticated AI powered tools and solutions emerge. further automating tasks, providing deeper insights and augmenting human decision-making capabilities.\n\nSpeaker 02 00:37:43\n\nSo AI is essentially going to become the new normal. as commonplace as computers and the Internet are today.\n\nSpeaker 01 00:37:48\n\nExactly and its impact will extend far beyond the workplace right influencing how we live interact with the world and and even how we perceive ourselves as humans.\n\nSpeaker 02 00:37:58\n\nThat's both exhilarating and a bit unsettling. What advice would you give our listeners to help them prepare for this AI-driven future?\n\nSpeaker 01 00:38:05\n\nFirst and foremost, cultivate a mindset of continuous learning. Stay abreast of the latest AI developments. Explore how AI is being applied in your industry and experiment with new tools and platforms. Don't let yourself fall behind the kerf.\n\nSpeaker 02 00:38:20\n\nSo curiosity and adaptability are key in this rapidly changing world.\n\nSpeaker 01 00:38:25\n\nDon't just be a passive observer. actively seek out opportunities to leverage AI, to solve problems and create value within your own sphere of influence. Think about how AI can enhance your work business or even your community.\n\nSpeaker 02 00:38:44\n\nSo be proactive, be innovative. and be a part of the solution, not just a spectator.\n\nSpeaker 01 00:38:51\n\nAnd finally, don't be afraid to fail. Experimentation is essential for learning and progress. Try things out, see what works and learn from your mistakes. AI is a constantly evolving field. And the only way to truly understand its potential is by getting your hands dirty.\n\nSpeaker 02 00:39:09\n\nThat's a great point. It is easy to get caught up in the fear of making mistakes. But ultimately, failure is just another opportunity to learn and grow. Embracing a growth mindset is crucial in this ever changing world.\n\nSpeaker 01 00:39:24\n\nI couldn't agree more. The world of AI is full of possibilities, and those who approach it with a sense of curiosity courage and a willingness to learn will be the ones who shape its future.\n\nSpeaker 02 00:39:36\n\nWell, I think we've provided our listeners with a lot to ponder From the rise of agentic automation to the ethical considerations of AI to the practical steps companies can take to implement AI effectively. Yeah. We've covered a wide range of topics.\n\nSpeaker 01 00:39:53\n\nWe have only scratched the surface. But hopefully this deep dive has sparked your curiosity and inspired you to explore the world of enterprise AI further.\n\nSpeaker 02 00:40:02\n\nIf you're eager to delve deeper into the Menlo Ventures report that formed the basis of our discussion, You can find a link to the full report in the show notes.\n\nSpeaker 01 00:40:11\n\nAnd as always, we encourage you to continue exploring, learning, and challenging yourself. The AI revolution is just beginning. And it's up to all of us to shape its trajectory.\n\nSpeaker 02 00:40:22\n\nThank you for joining us on this deep dive into the world of enterprise AI. Until next time, stay curious and keep exploring.",{"image_80":74,"image_180":75,"image_240":76,"image_600":77,"image_1280":78},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/443feda3-ecb3-49ad-b1ee-f062caaf8878_1280.jpg",[80,83],{"type":81,"count":82},"like","0",{"type":84,"count":82},"dislike",[],[87,103,119,134,142,152,160,170,179],{"id":88,"number":89,"season":36,"title":90,"description":91,"type":66,"image":92,"audio":93,"duration":94,"is_explicit":20,"code":89,"publish_date":95,"listenings":96,"is_private":20,"plans":40,"video":40,"images":97},"5cca50a3-3078-4841-ac6d-e412c39189c3",20,"Apple Prepares to Revolutionize Its Ecosystem with AI-Powered Devices and Features","\u003Cb>Apple\u003C/b> fans and tech enthusiasts, this one’s for you! If you've been dreaming of a Siri that’s as smart as \u003Cb>ChatGPT\u003C/b>, your wait may soon be over. Apple is gearing up to roll out a cutting-edge \u003Cb>AI ecosystem\u003C/b>, with features like advanced natural conversations, app-specific commands, and even an AI-powered home hub. Whether you're a creative, a productivity whiz, or just someone who loves tech that makes life easier, these innovations could redefine how you use your \u003Cb>iPhone, iPad, or Mac\u003C/b>. Tune in to hear what’s on the horizon and why this could be a game-changer for Apple users everywhere!","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/5cca50a3-3078-4841-ac6d-e412c39189c3.mp3",1033,"2024-11-23T12:26:01.164Z",17,{"image_80":98,"image_180":99,"image_240":100,"image_600":101,"image_1280":102},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/5cca50a3-3078-4841-ac6d-e412c39189c3_1280.jpg",{"id":104,"number":105,"season":36,"title":106,"description":107,"type":66,"image":108,"audio":109,"duration":110,"is_explicit":20,"code":105,"publish_date":111,"listenings":112,"is_private":20,"plans":40,"video":40,"images":113},"d0e88f57-99fd-4a1c-a78c-836657d433c6",19,"Samsung & LG Plus Unite for AI-Powered Smartphones","\u003Cb>Samsung\u003C/b> and \u003Cb>LG\u003C/b> Plus are teaming up to launch the \u003Cb>Galaxy iO\u003C/b>, an \u003Cb>AI\u003C/b>-integrated smartphone designed for speed, privacy, and advanced on-device AI features. This game-changing device could redefine the future of mobile technology.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/d0e88f57-99fd-4a1c-a78c-836657d433c6.mp3",429,"2024-11-22T10:29:45.478Z",15,{"image_80":114,"image_180":115,"image_240":116,"image_600":117,"image_1280":118},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/d0e88f57-99fd-4a1c-a78c-836657d433c6_1280.jpg",{"id":120,"number":121,"season":36,"title":122,"description":123,"type":66,"image":124,"audio":125,"duration":126,"is_explicit":20,"code":121,"publish_date":127,"listenings":112,"is_private":20,"plans":40,"video":40,"images":128},"cacb1e83-31e4-4149-960a-806714c54d35",18,"LGMs from Pokémon Go - \"Project Mickey\" - Navigating the Future","\u003Cb>Large Geospatial Models (LGMs)\u003C/b> are Revolutionizing Our Understanding and Interaction with Physical Spaces. AI Systems for \u003Cb>City Planning, Urban Design, Navigation, Entertainment, and Daily Life in the Future.\u003C/b>\u003Cbr />\u003Cp>\u003Cb>NianticLabs\u003C/b>, using data from \u003Cb>10M+ global locations\u003C/b> to build a \u003Cb>\"digital twin\" of our world.\u003C/b>\u003C/p>\u003Cp>Whether you're into \u003Cb>urban planning, AR/VR, logistics, or just love tech that's transforming how we interact with spac\u003C/b>e, this episode into the potential and challenges of LGMs. Perfect for innovators, city designers, and futurists alike!\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cp>#AR #Geospatial #SpatialComputing #SmartCities #UrbanPlanning #FutureTech @OpenAI #TechPodcast #Innovation #AI #AugmentedReality #Logistics #DigitalTransformation\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/cacb1e83-31e4-4149-960a-806714c54d35.mp3",906,"2024-11-20T08:45:44.017Z",{"image_80":129,"image_180":130,"image_240":131,"image_600":132,"image_1280":133},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/cacb1e83-31e4-4149-960a-806714c54d35_1280.jpg",{"id":135,"number":96,"season":36,"title":136,"description":137,"type":66,"image":11,"audio":138,"duration":139,"is_explicit":20,"code":96,"publish_date":140,"listenings":96,"is_private":20,"plans":40,"video":40,"images":141},"2765ff53-98aa-4b54-a928-e61fb29b8bbd","Digital Immortality: How a Fly's Brain Maps Our Future","\u003Cp>Dive into a revolutionary breakthrough where artificial intelligence and neuroscience converge to create the world's first complete digital twin of a brain. Follow the journey of mapping all 100,000 neurons in a fruit fly's mind - a milestone that marks our first step toward human digital immortality. From nanoscale imaging to AI-powered neural predictions, discover how this tiny insect's virtual brain clone is paving the way for preserving human consciousness in digital form. Join us as we explore the thrilling possibilities, ethical implications, and groundbreaking technology behind the quest to digitize consciousness.\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cb>\u003Ca href=\"https://\">FlyWire Brain Dataset 14Gb\u003C/a>\u003C/b>\u003Cp>Connectome of a female adult fly brain. \u003C/p>\u003Cp>Exploring version v783 that includes:\u003C/p>\u003Cp>139,255 proofread cells\t\u003C/p>\u003Cp>138,325 (99%) typed or labeled cells\u003C/p>\u003Cp>2,700,513 connections\u003C/p>\u003Cp>34,153,566 synapses\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/2765ff53-98aa-4b54-a928-e61fb29b8bbd.mp3",1556,"2024-11-18T12:10:00.852Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":143,"number":144,"season":36,"title":145,"description":146,"type":66,"image":11,"audio":147,"duration":148,"is_explicit":20,"code":144,"publish_date":149,"listenings":150,"is_private":20,"plans":40,"video":40,"images":151},"fed0ca8e-010f-4187-9562-1dbbfdd45a95",16,"Chain of Thought: How AI Gets Smarter Through Error-Aware Training","Dive into groundbreaking research that's revolutionizing how \u003Cb>AI\u003C/b> learns to think. Discover why teaching language models to recognize and learn from their mistakes leads to more robust and reliable performance. From \u003Cb>GPT-4 to Gemini Pro\u003C/b>, see how error-aware training is pushing the boundaries of artificial intelligence and challenging our traditional approaches to learning.\u003Cp>\u003Cbr />\u003C/p>\u003Cp>\u003Cb>Episode Highlights:\u003C/b>\u003C/p>\u003Cp>\u003Cb>Chain of Thought (CoT)\u003C/b> Prompting: Stepwise vs. Coherent Approaches\u003C/p>\u003Cp>The Power of Error-Aware Demonstrations in AI Learning\u003C/p>\u003Cp>Why Mistakes in the Middle Matter More Than Final Answers\u003C/p>\u003Cp>How AI Models Learn from Their Own Errors\u003C/p>\u003Cp>Revolutionary Results:\u003Cb> 5%\u003C/b>+ Accuracy Improvements Across Major LLMs\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/fed0ca8e-010f-4187-9562-1dbbfdd45a95.mp3",910,"2024-11-15T10:07:11.776Z",25,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":153,"number":112,"season":36,"title":154,"description":155,"type":66,"image":11,"audio":156,"duration":157,"is_explicit":20,"code":112,"publish_date":158,"listenings":89,"is_private":20,"plans":40,"video":40,"images":159},"002cb48a-e0d4-4803-a6dc-0435a6b8b32a","Radio-Waves Vision Robots: How AI is Giving Machines Superhuman Senses","Join us as we dive into the revolutionary technology of \u003Cb>Panoradar\u003C/b>—a groundbreaking AI system giving robots a superpower once limited to sci-fi: seeing through walls, smoke, and obstacles. From life-saving search and rescue to self-driving breakthroughs, discover how AI and radio waves are reshaping the way robots \"see\" and interact with the world.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/002cb48a-e0d4-4803-a6dc-0435a6b8b32a.mp3",812,"2024-11-15T06:52:40.209Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":161,"number":162,"season":36,"title":163,"description":164,"type":66,"image":11,"audio":165,"duration":166,"is_explicit":20,"code":162,"publish_date":167,"listenings":168,"is_private":20,"plans":40,"video":40,"images":169},"a4e3f283-5622-4551-ba6f-988d8af18aa3",14,"OpenAI's O1 AI's evolution beyond mere pattern recognition.","Dive into the mind-bending world of AI's \"reasoning era\" as we explore OpenAI's groundbreaking O1 model (formerly Strawberry). O1 can strategize and think step-by-step like humans do. \u003Cp>We unpack \u003Cb>Sequoia Capital'\u003C/b>s latest insights on \u003Cb>OpenAI\u003C/b>’s model O1, a game-changer in artificial reasoning, and dive into cognitive architectures.\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/a4e3f283-5622-4551-ba6f-988d8af18aa3.mp3",1125,"2024-11-14T14:03:24.832Z",22,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":171,"number":172,"season":36,"title":173,"description":174,"type":66,"image":11,"audio":175,"duration":176,"is_explicit":20,"code":172,"publish_date":177,"listenings":105,"is_private":20,"plans":40,"video":40,"images":178},"cc2a2fe8-8a86-4472-83c4-c7349da3c165",13,"SoundStorm Unleashed: Revolutionizing Audio Generation with Lightning Speed","Dive into the frontier of #audio innovation as we break down\u003Cp>This cutting-edge model generates audio at speeds \u003Cb>100x faster\u003C/b> than previous systems, redefining what's possible in \u003Cb>#music, #podcasts, #games\u003C/b>, and more. Join us as we explore the neural #codecs, parallel #decoding, and confidence-based sampling that make \u003Cb>SoundStorm\u003C/b> so powerful. From hyper-realistic #dialogues to adaptive #soundscapes, discover how this tech could transform #entertainment, #accessibility, and even #healthcare.\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/cc2a2fe8-8a86-4472-83c4-c7349da3c165.mp3",1076,"2024-11-13T15:27:38.972Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":180,"number":181,"season":36,"title":182,"description":183,"type":66,"image":11,"audio":184,"duration":185,"is_explicit":20,"code":181,"publish_date":186,"listenings":105,"is_private":20,"plans":40,"video":40,"images":187},"216dbfed-d0f6-4b90-a774-b3a3a8931523",12,"The Great AI Chip Race: Tech Giants Break Free from NVIDIA","In this episode, we explore how \u003Cb>Amazon, Google\u003C/b>, and other tech behemoths are shaking up the #AI industry by developing their own custom chips. From Amazon's secretive \u003Cb>Annapurna Labs\u003C/b> to Google's powerful \u003Cb>Trillium\u003C/b> processor, discover how this shift could revolutionize AI accessibility and pricing. Learn why major companies are reducing their reliance on \u003Cb>NVIDIA\u003C/b>, the implications for consumers and startups, and what this means for the future of \u003Cb>artificial intelligence\u003C/b>. Join us for an insightful discussion about what might be the biggest power shift in tech since the personal computing revolution.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/216dbfed-d0f6-4b90-a774-b3a3a8931523.mp3",363,"2024-11-13T10:48:08.094Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},["Reactive",189],{"$ssite-config":190},{"_priority":191,"env":195,"name":196,"url":197},{"name":192,"env":193,"url":194},-10,-15,-4,"production","podcast-website","https://greatleveler.mave.digital/",["Set"],["ShallowReactive",200],{"$63LOZx6kQb":-1},"/ep-21",{"common":203},{"activeTab":204,"isShareActive":20,"episodes":205,"contentPosition":20,"podcast":5,"podcastSlug":206,"showPlayer":20,"activeTrack":40,"pauseTrack":20,"activeEpisode":61,"titleHeight":207,"website":208,"listenUrl":40,"isMobileShareActive":20,"isDataLoaded":34,"favicon":50,"customDomain":40,"episodesCount":207},"listen",[],"greatleveler",0,{"button_text":37,"button_link":38,"is_indexing":34,"ym_id":-1,"gtm_id":-1}]