InfoQ Homepage Podcasts
About this Podcast
Intended for architects and senior developers.
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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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Key Trends from 2024: Cell-Based Architecture, DORA & SPACE, LLM & SLM, Cloud Databases and Portals
In this year-in-review episode, Daniel Bryant, along with InfoQ podcast hosts Thomas Betts, Shane Hastie, Srini Penchikala, and Renato Losio, reflect on the trends and developments of 2024 across key domains: architecture, culture and methods, AI and data engineering, and cloud and DevOps.
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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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InfoQ Java Trends Report 2024 - Discussing Insights with Ixchel Ruiz and Gunnar Morling
In this episode, Ixchel Ruiz and Gunnar Morling sat down with podcast host Michael Redlich, lead editor of the Java topic at InfoQ, to discuss the recent publication of the InfoQ Java Trends Report. Topics covered included: the advantages of the Java six-month release cadence; Project Lilliput and compact object headers; nullability in Java; the impact of Python; and the One Billion Row Challenge.
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Denys Linkov on Micro Metrics for LLM System Evaluation
Live from the QCon San Francisco Conference, we are talking with Denys Linkov, Head of Machine Learning at Voiceflow. Linkov shares insights on using micro metrics to refine large language models (LLMs), highlighting the importance of granular evaluation, continuous iteration, and rigorous prompt engineering to create reliable and user-focused AI systems.
About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Building Safe and Usable Medical Device Software: A Conversation with Neeraj Mainkar
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Neeraj Mainkar about the challenges of developing safe and usable medical device software in areas where software bugs can have life-and-death consequences, and how to approach these challenges through rigorous processes, user-centered design, and leveraging emerging technologies.
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Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.
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Building Effective Engineering Teams and Avoiding Cargo Cult Practices
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to David Guttman about building effective engineering teams, avoiding common pitfalls, critiques of cargo cult practices, building great engineering culture and the importance of individual accountability.
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Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in industries like healthcare and automotive, while highlighting the balance between innovation, safety, and regulatory compliance.
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Democratizing AI at Thomson Reuters: Empowering Teams and Driving Innovation
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, about as her experience in building great teams and democratizing the use of large language models across the organization.