Experts discuss the risks and evolving security landscape of AI, emphasizing education in managing AI risks and privacy engineering. They explore legal and ethical implications of AI, balance between utility and privacy, and the importance of safeguarding models and data in AI solutions. The conversation delves into memory, learning, legal frameworks, privacy concerns in large models, and Apple's business strategies in AI.

Diego Oppenheimer, Founder and CEO of Algorithmia, shares insights on overcoming challenges in transitioning AI from theory to practice. He discusses the findings from a recent survey on AI market trends and the importance of translating analytics into actionable strategies. Diego contrasts the machine learning approaches of small versus large firms, noting how smaller businesses capitalize on rapid tech adoption. Also covered are the obstacles to deploying machine learning models, including IT and security concerns, especially in a post-pandemic landscape.