Earley AI Podcast

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to more creative, iterative, and strategic work.Tackling Legacy Code: Cosine is pioneering new ways for AI to handle outdated and complex codebases (like COBOL and Fortran) that most engineers—and AI models—struggle with.Augmenting, Not Replacing, Engineers: AI tools like Cosine’s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

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 BaerLinksLinkedIn: https://www.linkedin.com/in/dbinsight/Website: https://www.dbinsight.ioThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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 BlattLinks:LinkedIn: https://www.linkedin.com/in/davehartley/LinkedIn: https://www.linkedin.com/in/daveblatt/Website: https://anderscpa.comArticle: AI Adoption Is Not as Hard as You Think – Start Now or Fall BehindThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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

In this discussion, Adam Honig, founder of Spiro AI and a former leader of a major Salesforce consultancy, shakes up the CRM landscape with his AI-driven innovations. He shares why traditional CRM systems are outdated and reveals how Spiro automates data capture for sales teams. Adam dives into the unique challenges of manufacturing and distribution sectors while contemplating the job displacement that AI might bring. Plus, he offers a sneak peek at future advancements like autonomous AI agents that promise to elevate customer relationships.

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 MagerkoLinks:LinkedIn: https://www.linkedin.com/in/magerko/Website: https://expressivemachinery.gatech.eduX: https://x.com/thatmagerkoThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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 GossenLinks:LinkedIn: https://www.linkedin.com/in/donald-gossen-40ab96/Website: https://nevermined.ioX: https://x.com/dongossenThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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 LenkerLinks:LinkedIn: https://www.linkedin.com/in/jlenker/Website: https://bigid.comX: https://x.com/LenkerITProThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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 SenapathyLinks:LinkedIn: https://www.linkedin.com/in/sahityas/Website: https://www.endeavor.aiThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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 GreenLinks:LinkedIn: https://www.linkedin.com/in/rongreen/Website: https://www.kungfu.aiPodcast: https://www.kungfu.ai/resources/hidden-layersThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book