#166 - Tony Baer - The Outlook for Generative AI in 2024 (and Beyond)

This podcast episode explores the challenges and opportunities of generative AI (Gen AI) and its impact on various industries. The speakers discuss the similarities between Gen AI and Data Lake in terms of data governance and legal compliance. They highlight the parallels between the generative AI frenzy and the dot-com boom of the late 1990s, emphasizing the importance of caution and understanding the limitations of these models. The potential risks of Gen AI, such as reliability issues and hallucinations, are also discussed. The speakers delve into the idea of using unfamiliar areas to enhance skills and the challenges and opportunities of AI-generated content in the context of data governance. They explore the importance of governance in the age of AI and the challenges startups face in the generative AI landscape. The conversation touches on training costs, smaller language models, and the resurgence of databases. The potential of Gen AI in enhancing database discovery and providing context to data is highlighted, as well as the convergence of data and AI governance. The relationship between Gen AI and classical AI is examined, along with the upcoming events and plans of the speakers.