Stop Managing AI Projects Like Traditional Software
Hosted by Bryan Bischof and Hamel Husain
What you'll learn
Learn Why Traditional Software Roadmaps Fail in AI Projects
Prioritizing Work Through Effective Evaluation
How to Adopt an Experimental Mindset
Turn Failures Into Actionable Insights
Why this topic matters
You'll learn from
Bryan Bischof
Head of AI at Theory Ventures
Bryan Bischof is currently Head of AI at Theory Ventures. He formerly led AI Engineering at Hex, where he spearheaded the development of Magic—the data science and analytics copilot. Bryan has worked all over the data stack leading teams in analytics, machine learning engineering, data platform engineering, and AI engineering. He started the data team at Blue Bottle Coffee, led several projects at Stitch Fix, and built the data teams at Weights and Biases. Bryan previously co-authored the book Building Production Recommendation Systems with O’Reilly, and teaches Data Science and Analytics in the graduate school at Rutgers. His Ph.D. is in pure mathematics.
Hamel Husain
ML Engineer with 20 years of experience.
Hamel Husain is a ML Engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies operationalize Large Language Models (LLMs).
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