Podcasts

Building Safe and Usable Medical Device Software: A Conversation with Neeraj Mainkar

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Neeraj Mainkar about the challenges of developing safe and usable medical device software in areas where software bugs can have life-and-death consequences, and how to approach these challenges through rigorous processes, user-centered design, and leveraging emerging technologies.

Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.

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.