InfoQ Homepage Podcasts
-
Generally AI: Time to Travel
In this special episode, Roland and Anthony meet at QCon San Francisco to discuss Time and Travel. Roland presents three case studies where temporal misunderstandings in data science led to poor predictive performance. Anthony tells the story of how the first Transcontinental Railroad shortened travel times between the East and West Coasts of the United States.
-
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.
-
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.
-
Crossing the Feedback Chasm - a Conversation with Ken Finnigan
Michael Stiefel spoke with Ken Finnigan about how the lack of feedback impedes the development of software professionals. Without feedback, the right candidates are not hired, software professionals cannot improve or grow into new roles, or individuals stagnate or regress in their current positions. Feedback must also be delivered at the right time - when it can be effectively used.
-
Building Effective Engineering Teams and Avoiding Cargo Cult Practices
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to David Guttman about building effective engineering teams, avoiding common pitfalls, critiques of cargo cult practices, building great engineering culture and the importance of individual accountability.
-
Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in industries like healthcare and automotive, while highlighting the balance between innovation, safety, and regulatory compliance.
-
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.
-
Spies, Lies, and Cybercrime: Insider Perspectives from a Former FBI Agent
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Former FBI Operative Eric O’Neill about the growing threat of cyberattacks, cyber espionage and cybercrime, and how organizations and individuals can "think like a spy hunter" to better protect themselves.
-
Participatory Leadership and Developing a Culture of Psychological Safety
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Nick Takavadii about participatory leadership practices and how to cultivate a workplace environment with psychological safety.