Podcasts

Nikolaos Vasiloglou on Knowledge Graphs and Graph RAG

In this podcast, Nikolaos Vasiloglou from @RelationalAI team discusses how knowledge graph based applications are leveraging Generative AI technologies and how Graph RAG techniques can be used to enhance data analytics and insights.

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.

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.

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.

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.