InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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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?
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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.
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Dissecting the Intelligence of AI with Avraham Poupko
In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.
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Apoorva Joshi on LLM Application Evaluation and Performance Improvements
In this podcast, Apoorva Joshi, senior AI developer advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.
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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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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Claire Vo on Building High-Performing, Customer-Centric Teams in the Age of AI
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Claire Vo, Chief Product and Technology Officer at LaunchDarkly, about building high-performing, customer-centric teams, fostering a culture of experimentation, and preparing for the future of AI-driven software development.
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Building Responsible AI Culture: Governance, Diversity, and the Future of Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Inna Tokarev Sela, CEO of illumex, about implementing generative AI in development teams, emphasizing the critical need for robust governance across data, policy enforcement, and explainability layers. She also discusses how intentional workplace policies and female-oriented mentorship programs have helped achieve gender balance in tech.
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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.
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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.
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