Earley AI podcast

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38:16

Many of us are entering the new year with a similar goal — to build community and connect more with others. To kick off season five, Priya Parker shares ideas on how to be the host with the most. An expert on building connection, Priya is the author of “The Art of Gathering: How We Meet and Why It Matters.” Whether it's a book club, wedding, birthday or niche-and-obscurely themed party, Priya and Chris talk about how to create meaningful and fun experiences for all of your guests — including yourself. For the full text transcript, visit go.ted.com/BHTranscripts . For the full text transcript, visit go.ted.com/BHTranscripts Want to help shape TED’s shows going forward? Fill out our survey here ! Learn more about TED Next at ted.com/futureyou Hosted on Acast. See acast.com/privacy for more information.…

Earley AI Podcast

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In this podcast hosts Seth Earley invites a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence as well as what is practical in the space as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early-stage AI projects to fully mature applications. Seth is founder & CEO of Earley Information Science and the award-winning author of "The AI Powered Enterprise."

68 епізодів

Earley AI Podcast

updated 4 дні тому

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68 епізодів

#Tech #Business #Earley Information Science

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1
Earley AI Podcast - Episode 68 - Composable Intelligence: Rethinking Customer Data with Seth Earley and Abhi Yadav 44:27

4 дні тому44:27

44:27

In this episode of the Earley AI Podcast , host Seth Earley sits down with Abhi Yadav, founder of iCustomer AI—a cutting-edge composable decision intelligence company. With a deep background in enterprise technology, Abhi pioneered the Customer Data Platform (CDP) category and is now leading innovation in advanced multigraph frameworks and customer intelligence. He is also an advisor to leading data management organizations and is passionate about helping brands reshape how they connect with customers by making data truly "AI-ready." Together, Seth and Abhi explore the evolving landscape at the intersection of AI, data, and enterprise maturity. They dive deep into the challenges and opportunities organizations face as they strive for higher levels of decision intelligence, highlighting both the technical and strategic shifts driving the industry forward. Key Takeaways: The evolution from traditional MDM (Master Data Management) and CDP platforms toward a “knowledge engineering era” powered by AI and multi-graph architectures. Why a single source of truth is more about a unified, reconcilable semantic layer than a single data repository. The importance of developing robust taxonomies, ontologies, and knowledge graphs to contextualize customer data and orchestrate intelligent decisioning at scale. Clear definitions and distinctions between zero-party, first-party, second-party, and third-party data—and why they matter for privacy, compliance, and effective marketing. Challenges enterprise leaders face in scaling decision intelligence, especially in determining the right balance of human and machine-led decisions. The emerging need for "decision lineage": tracking not only what data was used, but how and why decisions were made, for compliance and transparency. Advice for founders, technologists, and enterprise leaders: avoid the hype and focus on solving real, specific problems before building platforms or dreaming of category creation. Insightful Quote from Abhi Yadav: "Don't follow the hype, follow the real problem. There are still so many real problems—and the more specific that problem is, the more impact you can make. Platforms and categories come later; start with solving measurable problems today." Tune in for a thoughtful, actionable conversation on unlocking the true potential of enterprise AI and creating data architectures that drive meaningful impact. Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast Episode 67: How AI Is Transforming Software Engineering With Yang Li of Cosine 36:09

24 дні тому36:09

36:09

In this episode of the Earley AI Podcast, host Seth Earley sits down with Yang Li, a leading figure in AI and software innovation. Yang is the Chief Operating Officer of Cosine, an advanced AI development firm, with deep experience driving startups, scaling organizations, and pioneering advancements in engineering and software development. Yang’s work focuses on leveraging AI to empower the next generation of developers, especially in navigating the increasingly complex landscape of modern and legacy codebases. Yang and Seth dive into how AI is reshaping the role of software engineers, the evolving challenges of handling massive backlogs and legacy systems, and what creativity and efficiency really look like in an age of AI-powered software development. Key Takeaways: AI’s Impact on Software Engineering: AI is shifting the developer’s role from hands-on coding to more creative, iterative, and strategic work. Tackling Legacy Code: Cosine is pioneering new ways for AI to handle outdated and complex codebases (like COBOL and Fortran) that most engineers—and AI models—struggle with. Augmenting, Not Replacing, Engineers: AI tools like Cosine’s Genie reduce ramp-up time for engineers, help address daunting backlogs, and act as creative partners rather than outright replacements. The Challenge of Benchmarks: Yang explains why public coding benchmarks can be misleading when bringing products to real-world enterprise environments, especially with diverse codebases. The Emergence of ‘Vibe Coding’: Idea-to-prototype time is shrinking, allowing non-technical team members to quickly bring their ideas to life using AI assistants. Risks & Limits: Over-reliance on AI, standardization versus differentiation, and the need for new evaluation criteria in engineering organizations. Future Skills: The importance of risk-taking, adaptability, and prompt engineering as software development evolves, plus insights into how organizations are rethinking career ladders and promotions in an AI-powered world. Insightful Quote from Yang Li: "Previously you had to use words and language to describe your idea, you can now show people your idea... The time between you having thought of an idea to actually be able to show people that idea has now reduced almost to zero because of vibe coding." Tune in to discover what’s next for software engineering in the age of AI, and how to stay ahead in this rapidly changing landscape. Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast Episode 66: Reengineering Knowledge for the AI Era 29:49

6 weeks тому29:49

29:49

In this episode of the Earley AI Podcast , host Seth Earley sits down with industry analyst and advisor Tony Baer, a seasoned expert in data, cloud, and analytics. With decades of experience guiding global tech leaders like AWS and Oracle, Tony brings a nuanced perspective on how knowledge engineering is evolving—and why context is the missing link in many enterprise AI initiatives. Together, Seth and Tony explore the shift from static data models to dynamic knowledge frameworks, the renewed importance of governance, and how graph databases and generative AI are reshaping enterprise intelligence. This is a conversation packed with hard-earned lessons and actionable insight for data, IT, and transformation leaders aiming to make AI work in the real world. Key Takeaways: Knowledge engineering today is about dynamic, adaptive structures—not static ontologies or rigid models. The role of the knowledge engineer is shifting: it’s less about technical mastery and more about bridging data, business, and domain expertise. Context is foundational. The five W’s—Who, What, When, Where, Why (and How)—unlock meaningful, actionable intelligence. Graph databases and AI are enabling real-time connections across data, turning static information into living knowledge. Generative AI delivers the most value when rooted in organizational context. RAG strategies demand clean data and strong information architecture. Successful AI initiatives are focused. Start with well-bounded, high-impact processes—avoid boiling the ocean. Core principles from previous data waves still apply. It’s about evolving governance, stewardship, and architecture for the AI era. Sustainable value comes from feedback loops, iteration, and alignment—not silver bullets. Tune in to discover how to make AI practical, actionable, and intelligent for your organization. Quote of the Show: "Just because something is old does not make it wrong. There are a lot of disciplines we've built up over the years—governance, data stewardship—that still matter. The principle was right. We just adapt it and use our learnings from each cycle to become more knowledgeable and proficient." Tony Baer Links LinkedIn : https://www.linkedin.com/in/dbinsight/ Website : https://www.dbinsight.io Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast Episode 65: David Hartley and Dave Blatt - Turning AI Hesitancy into Opportunity 26:23

12 weeks тому26:23

26:23

In this episode of the Earley AI Podcast, host Seth Earley welcomes two insightful guests from Anders, a top 100 CPA firm: David Hartley and Dave Blatt. David Hartley is a seasoned CPA with a profound understanding of the synergy between finance and technology. He advocates for how AI can enhance traditional accounting roles rather than replace them. Dave Blatt brings a wealth of knowledge in AI automation and analytics, focusing on empowering mid-sized companies to harness AI for competing with larger players. Join us as we dive into the world of AI applications in the finance, accounting, and mid-market operations sectors. Our guests dispel common myths and fears surrounding AI, exploring how small and medium-sized enterprises can practically and effectively adopt AI technologies to drive transformation and growth. Key Takeaways: Demystifying AI: Understanding AI in the context of mid-market companies and addressing misconceptions around AI replacing human jobs. AI for Mid-Sized Enterprises:** How AI is accessible and beneficial for mid-sized businesses, allowing them to compete with larger organizations. Impact on Accounting: Enhancing traditional accounting roles through AI and freeing up time for more value-added activities. Implementation Strategies: Best practices for implementing AI in mid-sized companies, focusing on education, small projects, and quick wins. Real-World Applications: Case studies in industries like construction and manufacturing, where AI has improved efficiency and productivity. Communication and Trust: The importance of communication and building trust among team members to ensure successful AI adoption. Quote of the Show: "Start small and not make it so daunting... get some quick wins that will be a catalyst to doing more projects and bigger efforts." - Dave Blatt Links: LinkedIn : https://www.linkedin.com/in/davehartley/ LinkedIn : https://www.linkedin.com/in/daveblatt/ Website : https://anderscpa.com Article : AI Adoption Is Not as Hard as You Think – Start Now or Fall Behind Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast Episode 64: Understanding AI: From Misconceptions to Effective Product Mindset 36:07

15 weeks тому36:07

36:07

In this episode of the Earley AI Podcast, we welcome guest, Jack Lampka, an accomplished advisor and speaker with over 27 years of experience in corporate roles within the tech and pharma sectors. Now based in Munich, Germany, Jack specializes in enhancing data storytelling and cultivating a product mindset among technical employees. His extensive career journey includes living and working in countries like Poland and the United States. Key Takeaways from this Episode: The importance of a product mindset for technical teams when developing AI solutions. Understanding the misconceptions and realistic expectations for AI and generative AI in businesses. How to successfully sell AI solutions internally by focusing on business needs and creating a comprehensive product marketing plan. The role of data storytelling in bridging the gap between technical and non-technical users. Insights into the hype surrounding Agentic AI and its relevance to current business applications. Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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[Earley AI Podcast] Episode 63: Revolutionizing CRM with AI: Insights from Adam Honig 31:57

17 weeks тому31:57

31:57

Join Seth Earley on Earley AI Podcasts as he welcomes Adam Honig, a pioneering force in the field of customer relationship management (CRM). As the founder of Spiro AI, Adam challenges the conventional need for CRM systems by offering an innovative AI-driven alternative. With a rich history of building one of the largest Salesforce consulting partners—eventually acquired by Accenture—Adam’s insights blend tradition with transformative technology, sparking discussions about the evolving landscape of CRM. Key Takeaways: Revolutionizing CRM: Understand Adam's perspective on why traditional CRM systems are antiquated and how Spiro’s AI-driven approach offers a modern solution. Automated Data Capture: Learn how Spiro AI automates the tedious process of data entry and offers real-time insights for sales teams without manual input. Industry-Specific Challenges: Explore the unique hurdles faced by manufacturing and distribution sectors in adopting CRM and AI technologies. AI Implementation: Discover practical implementations of AI, including order entry automation, in revolutionizing traditional business models. Future of Work: Delve into a candid discussion on how AI could lead to significant job displacement, and the broader economic implications. Roadmap of Innovation: Get a sneak peek into future developments, including autonomous AI agents and enhanced integration with product data. Quote from the show: "Salespeople didn't go into sales to enter data. They want to meet with customers. They want to be where the action is, and they need the software to just get out of their way." – Adam Honig Links: LinkedIn: https://www.linkedin.com/in/adamhonig/ Website: https://spiro.ai X: https://x.com/adamhonig Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast - Episode 62 Navigating Aspirational AI: Brian Magerko on Creativity, Ethics, and Technology in 2025 43:43

17 weeks тому43:43

43:43

In this episode, Seth Earley is joined by Brian Magerko, a professor of digital media at Georgia Institute of Technology and a pioneer in applied AI and computer-human interaction. Brian shares his journey through the academic realm and his fascinating experiences, including co-founding EarSketch, an educational platform that merges coding with music for nearly 2 million users. Together, Seth and Brian explore the bridging of technical language gaps, the role of AI in creativity, and unravel common misconceptions about generative AI. Listen in as they discuss the complexities of AI-driven creativity, the importance of fostering AI literacy in organizations, and the ethical considerations that come with the integration of cutting-edge technology. This episode is packed with insights that are sure to provoke thought and inspire innovation in any AI enthusiast or professional. Join us as we continue our journey into the evolving landscape of artificial intelligence. Key Takeaways: The evolution of AI from aspirational concepts to today’s realities in the marketplace. Insights into the bridging of technical language gaps and the role of AI in creativity. Common misconceptions and myths about generative AI and its responsible use. Importance of a holistic organizational approach to adopting AI technology, including involving diverse stakeholders. Discussion on the implications of biases in AI and the significance of responsible data handling. Quote from the show: "They are tools, not oracles, you know, they're things that are great in the hands of people that know how to use them." - Brian Magerko Links: LinkedIn: https://www.linkedin.com/in/magerko/ Website: https://expressivemachinery.gatech.edu X: https://x.com/thatmagerko Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast - Episode #61 Featuring Don Gossen: Advanced AI and Blockchain Integration for Decentralized Energy Networks 47:25

21 weeks тому47:25

47:25

In this episode, hosts Seth Earley and Chris Featherstone are joined by Don Gossen to explore the transformative potential of AI and blockchain in decentralized energy networks. This episode explores how AI and blockchain technologies work together to optimize energy consumption, secure transactions, and drive innovation in local energy management. Don shares real-world case studies showcasing the impact of AI-driven IoT solutions, from reducing costs to enabling energy sovereignty in European markets. Key Takeaways: AI’s Role in Energy Optimization – How AI-powered agents connect with IoT devices to enhance efficiency and manage decentralized transactions. Blockchain for Security & Transparency – The role of blockchain in securing transactions and ensuring trust in energy markets. Real-World Applications – Case studies of AI-driven decentralized energy networks lowering costs and increasing sustainability. Future Trends – The emergence of AI-driven economic models that could redefine how energy is produced and consumed. Tune in to hear Don’s insights on the cutting edge of AI, blockchain, and the future of decentralized energy. Quote from the show: "Blockchain technology offers elegant solutions to problems of provenance in data and ML models, enabling higher fidelity and trustworthiness. The integration of decentralized blockchain with centralized ML technology presents conflicts, but it is essential for developing better solutions and new economic models. It's about more than just replacing tasks; it's about redefining how we manage and transact value in an increasingly autonomous ecosystem." – Don Gossen Links: LinkedIn: https://www.linkedin.com/in/donald-gossen-40ab96/ Website: https://nevermined.io X: https://x.com/dongossen Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast - Episode #60 Optimizing Search and Security: Insights from John Lenker on AI and Data Governance 52:06

33 weeks тому52:06

52:06

In this episode, hosts Seth Earley and Chris Featherstone are joined by John Lenker, an accomplished expert in enterprise search and data governance. John, who has presented to technology leaders like the CTO of NASA and the CIO of the Marshall Space Center, shares his extensive knowledge and experiences from working with leading companies. Currently engaged with Big ID, John delves deep into the evolving landscape of search technologies, data security, and enterprise-specific solutions. Key takeaways: Evolution of Search Technologies: Current search tools are transitioning from simple keyword-based systems to sophisticated question-based interactions, offering synthesized answers and enhancing data findability. Importance of Security: John underscores the critical need for granular security in modern search technologies, detailing the challenges of securing sensitive documents amidst cloud migration and generative AI implementations. Trust and Customization: Organizations can trust search vendors to enhance data findability while retaining existing systems. Companies must consider both common needs and unique requirements shaped by their environments and practices. Challenges with Legacy Systems: Accessing and modernizing data from outdated systems adds complexity to organizational workflows, necessitating a fine balance between old and new technologies. Retrieval Augmented Generation (RAG): The future of search lies in interactive models like GPT, evolving towards more contextually relevant search experiences. Quote from the show: "Effective information architecture is the backbone of superior search experiences. It’s not just about finding information—it’s about finding the right information securely and efficiently." – John Lenker Links: LinkedIn: https://www.linkedin.com/in/jlenker/ Website: https://bigid.com X: https://x.com/LenkerITPro Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast - Episode #59 Exploring AI Limitations and Future Potential with Ron Green 40:41

34 weeks тому40:41

40:41

In this episode of the Earley AI Podcast Ron Green, Founder of KUNGFU.ai joins host Chris Featherstone. Ron's expertise spans over 25 years in artificial intelligence and machine learning. Starting his journey in computer science during the early days of AI, he has witnessed and contributed to the evolution of the field from modest neural networks to today's complex, groundbreaking systems. With a master's degree in AI from Sussex, he has firsthand experience in areas ranging from protein folding predictions to advanced graph models. Key takeaways: Feedback Loop in LLMs: Discover why training large language models (LLMs) using their own generated data can create a feedback loop reducing model capabilities. AI Accuracy and Trust: Insights into the importance of building trust in AI through accurate models and robust graph environments handling diverse data associations. Ethical AI Development: Discussions on the ethical challenges and necessary oversight in AI, emphasizing transparency and policy controls to mitigate biases. Quote from the show: "Accuracy in AI models builds trust, and that's crucial for their successful deployment. But it's vital to remember that all models have biases; the key lies in identifying and addressing the unfair ones early on." - Ron Green Links: LinkedIn: https://www.linkedin.com/in/rongreen/ Website: https://www.kungfu.ai Podcast: https://www.kungfu.ai/resources/hidden-layers Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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The Earley AI Podcast with Seth Earley - Episode #57 Understanding AI and Data Readiness with Camden Swita 45:35

34 weeks тому45:35

45:35

In this episode of the Earley AI Podcast Camden Swita, the Head of AI and ML Innovation at New Relic, joins us for an insightful discussion on the transformative role of AI in modern technology. With a rich background spanning journalism, product management, and cutting-edge AI/ML initiatives, Camden brings a unique perspective on leveraging artificial intelligence to enhance both professional and creative workflows. Camden joins our hosts, Seth Earley and Chris Featherstone, as they navigating the complexities of data readiness and AI operations Key takeaways: Understanding Vendor Offerings and Data Infrastructure: The importance of scrutinizing vendor promises and the potential of building simpler AI solutions, like basic chatbots, in-house. Consulting legitimate data scientists and engineers to assess data readiness before plunging into AI investments was highly recommended. Impact of Generative AI on Content Creation : Generative AI's role in automating content creation is rapidly evolving. While it offers incredible efficiencies in some areas, its application in creative writing is still experimental and requires a balance between traditional methods and automation. Modular Retrieval Augmented Generation (RAG) : The concept of Modular RAG was explored as a way to enhance language models with relevant context. This system uses specific data sources to fill knowledge gaps, making responses more accurate and targeted. The discussion included how visual tools like heatmaps can identify and improve sparse contexts. Quote from the show: "Understanding the actual capabilities of AI systems and the state of your own data infrastructure is crucial. Investing in foundational data work isn't glamorous, but it's the backbone of any successful AI implementation. Without it, even the most advanced algorithms can't deliver meaningful results." - Camden Swita Links: LinkedIn: https://www.linkedin.com/in/camden-swita-54a41aa/ Website: https://newrelic.com Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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The Earley AI Podcast with Seth Earley - Episode #58 AI-Driven Manufacturing: Sahitya Senapathy Talks Data, Analytics and Technology Trends 42:16

34 weeks тому42:16

42:16

In this episode of the Earley AI Podcast Sahitya Senapthy, Founder and CEO of Endeavor, joins us for an episode filled with rich discussions on AI, data management, and the intriguing paths of technological advancement in industrial manufacturing. Sahitya's career has spanned work with the US Air Force, AWS, and Palantir. Sahitya joins our hosts, Seth Earley and Chris Featherstone, as they have an in-depth discussion about the intersection of AI and industrial manufacturing. Key takeaways: Rethinking AI Implementation: The importance of moving beyond simple chatbot applications like ChatGPT to realize real ROI through generative AI for sales optimization and cost savings in industrial spaces. Phased Approach to Tech Deployment: The "crawl, walk, run" methodology along with proof-of-concept (POC) phases is crucial in acclimating users and ensuring new tools deliver tangible ROI, avoiding "shelf-ware." Data Privacy and Security: Amidst the integration of sophisticated AI solutions, maintaining data privacy and security remains paramount. Quote from the show: "Real ROI in industrial spaces comes from effectively using generative AI for sales and cost savings—not just relying on chatbots." - Sahitya Senapathy Links: LinkedIn: https://www.linkedin.com/in/sahityas/ Website: https://www.endeavor.ai Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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The Earley AI Podcast with Seth Earley - Episode #56 David Marra on AI's Impact on Financial Services and Investment Strategies 49:53

36 weeks тому49:53

49:53

In this episode of the Earley AI Podcast we are joined by guest David Marra a seasoned expert in AI-driven investment strategies and founder of Marken Asset Management. David brings invaluable insights into the transformative potential of AI, particularly in complex payroll workflows, ERP systems, and financial services. David joins our hosts, Seth Earley and Chris Featherstone, as they explore the current state and future of AI, including the integration of large language models (LLMs) and the importance of robust data management. Key takeaways: AI for Simplifying Workflows: AI, particularly chatbots, can streamline complex payroll tasks, improving productivity by up to 30% and reducing errors. AI in Financial Services: Though slower to adopt AI, financial services have vast potential, offering long-term growth opportunities through AI investments. Global AI & Investment: Japan’s AI market is booming, and companies with strong data infrastructures are best positioned to benefit from AI advancements. Quote from the show: "2023 was the wake-up call for realizing new technology's immense potential, and as we transition pilot programs to production systems in 2024, we’ll start seeing real, tangible outcomes by 2025. The application layer of AI isn’t just a technological enhancement; it’s poised to become a multi-trillion-dollar market, revolutionizing capabilities and creating workflows that weren't even conceivable before." - David Marra Links: LinkedIn: https://www.linkedin.com/in/david-marra-8693b44/ Website: https://markinfunds.com Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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Earley AI Podcast Episode 55 - Staying Secure in a Digital Age: Yuri Dvoinos Discusses Data Privacy 50:22

37 weeks тому50:22

50:22

In this episode of the Earley AI Podcast we are joined by guest Yuri Dvoinos, the Chief Innovation Officer at Aura, a leading cybersecurity company based in Boston. With an extensive background in information security, AI applications, and data privacy, Yuri brings a wealth of knowledge on how to protect personal information in the digital age. Join our hosts Seth Earley and Chris Featherstone as Yuri explains the intricacies of data privacy, the adverse effects of phone scams, and the critical role of AI in detecting and thwarting sophisticated fraud attempts, including deepfakes and phishing scams. Key takeaways: The Importance of Understanding Your Digital Footprint. Learn how your online activities impact your privacy and what steps you can take to protect yourself. Identity Protection and the Impact of Scams. Delve into the psychological toll of phone scams, particularly on seniors, and how to safeguard against such threats. The Role of AI in Scam Detection. Understand how AI can detect psychological pressure and scam tactics in real-time, and the challenges in distinguishing AI-generated chats from real conversations. The Rise of Deepfakes. Explore the dangers of deepfakes in voice and video manipulation, and the need for heightened vigilance. Quote from the show: "Understanding one's digital footprint and protecting personal information online is no longer optional—it's essential. The rise of deepfakes and sophisticated scam tactics means that we need to be more critical and skeptical of the information we encounter. Leveraging AI to detect psychological pressure and scam tactics in real time can help us stay one step ahead, but ultimately, it starts with heightened awareness and constant vigilance." - Yuri Dvoinos Links: LinkedIn: https://www.linkedin.com/in/dvoinos/ Website: https://www.aura.com Twitter: https://x.com/YuriyNos Thanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book…

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The Earley AI Podcast with Seth Earley - Episode #54 Demystifying AI for Business Leaders: Insights from Tobias Zwingmann 46:16

41 weeks тому46:16