InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking
Olimpiu Pop discusses with Jade Abbott, CTO and co-founder of Lelapa AI, how basic infrastructure scarcities found on the African continent can ignite innovation and help push forward the AI space. Particularly when dealing with never-written languages, you need to be innovative to generate proper data and divide the problem into minor problems that can be solved with fewer intensive resources.
on May 12, 2025Icon30:29 -
How to Improve the Quality of the Gen AI-Generated Code and Your Team’s Dynamics
Birgitta Böckeler, Thoughtworks’ subject matter expert on Generative AI coding assistants, discusses how to enhance generated code by incorporating additional information into its context, and how your team’s dynamics will evolve with the adoption of these tools.
on May 05, 2025Icon42:29 -
Wenjie Zi on Technology and Organizational Aspects for ML Project Success
In this podcast, Wenjie Zi discusses why many ML projects don’t succeed and what technology and organizational aspects affect the success of those projects. She also talked about what potential communication and understanding gaps can exist between business team and ML practitioners and how to address these gaps.
on Apr 16, 2025Icon22:13 -
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Building LinkedIn’s Resilient Data Storage: a Deep Dive into Derived Data Storage with Felix GV
In this podcast, Felix GV, Principal Staff Engineer at LinkedIn, discusses how to create and operate planet-scale data storage solutions for derived data. When it’s time to build a new system, how do you decide on the pieces that must be fitted to ensure a resilient operating system?
on Mar 17, 2025Icon44:13 -
Understanding What Really Matters for Developer Productivity: a Conversation with Lizzie Matusov
In this podcast Michael Stiefel spoke with Lizzie Matusov about the dependency of effective, productive, and satisfied teams on good software architecture. Understanding this relationship requires understanding exactly what software productivity really is, how modern software engineering research has become more rigorous and practical, and how to apply that research to software development.
on Mar 10, 2025Icon01:10:30
About this Podcast
Discussions on intentional corporate culture and software management approaches.
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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.
on Dec 06, 2024Icon21:04 -
Exploring the Impact of Generative AI on Software Engineering and Career Paths
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Alex Cruikshank, the Director of Software Engineering at West Monroe.
on Feb 23, 2024Icon33:20 -
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