InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
About this Podcast
Intended for architects and senior developers.
-
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.
/podcasts/bridging-foundational-machine-learning/en/mediumimage/SusanShuChang-interviewee-photo-1733993826969.jpg)
-
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.
/podcasts/2024-year-review/en/mediumimage/end-of-year-podcast-interviewee-photo-1734601693541.jpg)
-
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.
/podcasts/generally-ai-time-travel/en/mediumimage/generally-ai-logo-interviewee-pic-290x210-1734014452733.jpg)
-
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.
/podcasts/micro-metrics-llm-system-evaluation/en/mediumimage/denys-linkov-interviewee-photo-1733834256422.jpeg)
-
Generally AI - Season 2 - Episode 6: the Godfathers of Programming and AI
Hosts discuss the Godfather of AI, Geoffrey Hinton, who developed pivotal algorithms like backpropagation, contributed to neural visualization with t-SNE, and inspired a resurgence in neural networks with AlexNet's success. They turn to John von Neumann, whose impact spanned mathematics, the Manhattan Project, and game theory, but most importantly: the von Neumann computer hardware architecture.
/podcasts/generally-ai-godfathers-programming-ai/en/mediumimage/generally-ai-logo-interviewee-pic-290x210-1730189289609.jpg)
About this Podcast
Discussions on intentional corporate culture and software management approaches.
-
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.
/podcasts/empowering-teams-driving-innovation/en/mediumimage/Maria-Apazoglou-interviewee-photo-1733221717286.jpg)
-
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.
/podcasts/generative-ai-impact-software-engineering/en/mediumimage/Alex Cruikshank-m-1708527577214.jpg)