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Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI
Live from the QCon San Francisco Conference, we are talking with Susan Shu Chang, Principal Data Scientist at Elastic. Chang shares insights on bridging foundational machine learning with generative AI, emphasizing the importance of deploying ML models effectively, leveraging collaborative tools for prototyping, and aligning team roles with the ML life cycle to create scalable AI solutions.
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Generally AI: Time to Travel
In this special episode, Roland Meertens and Anthony Alford meet at QCon San Francisco to discuss Time and Travel. Meertens presents three case studies where temporal misunderstandings in data science led to poor predictive performance. Alford tells the story of how the first Transcontinental Railroad shortened travel times between the East and West Coasts of the United States.
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AI, Rust, and Resilience: Key Software Trends Seen by the QCon San Francisco 2024 Program Committee
QCon conferences cover emerging trends in software, and this episode features members of the QCon San Francisco 2024 programming committee discussing those trends selected to be the focus of this year’s QCon San Francisco. This discussion is similar to InfoQ trends reports, with expert practitioners highlighting the technologies and practices that they feel deserve attention.