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.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Governance for Reducing Complexity
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Tony Ponton about the challenges of governance and how to avoid creating complexity while enabling agility.
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Making Change Stick with Neil Vass
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke with Neil Vass, a recent QCon speaker and engineering manager at Co-Op, about the importance of making change persistent in teams, and why change often fails to stick.
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Coding Black Females – Making a Difference in the World
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Charlene Hunter, founder and CEO of Coding Black Females, a community that connects Black women in tech and provides opportunities for learning, mentoring, and career advancement.
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The Evolution of Use Cases in Modern Software Engineering
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Ivar Jacobson about the evolution of use cases in modern software engineering.
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Addressing the Gender Imbalance in Technical Leadership
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Neria Yashar about overcoming the gender imbalances in engineering, especially around leadership roles.
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