This chapter explores the challenges of managing multiple models and data fabric in MLOps, emphasizing the need for orchestration capabilities and evolving observability solutions. It discusses regulatory compliance in the financial sector, data privacy concerns, the rise of synthetic data, and the potential risks associated with advanced AI models. The conversation transitions to advising startups on integrating generative AI, discussing pivot strategies, commercialization focus, successful portfolio companies like Weights and Biases and Honeycomb, and the role of VCs in understanding market shifts for successful investments.
He has over 20 years of experience developing high-growth technology startups including most recently being CEO of Kespry.
George joins the podcast to talk about his path to becoming an investor, his data-first thesis about investment, the AI business landscape, his book recommendations, and more.
Starting her career as a software developer, Jocelyn Houle is now a Senior Director of Product Management at Securiti.ai, a unified data protection and governance platform. Before that, she was an Operating Partner at Capital One Ventures investing in data and AI startups. Jocelyn has been a founder of two startups and a full life cycle, technical product manager at large companies like Fannie Mae, Microsoft and Capital One. Follow Jocelyn on LinkedIn or Twitter @jocelynbyrne.
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