Data scientists and ML engineers write a lot of code: building data pipelines, wiring up models, and sometimes translating concepts from research papers into algorithms.
Feb 17
Bridging Technology and Business: Operationalizing AI
Vaishali shares her experience leading global data teams, partnering with executive leadership, and building strategies that connect cutting-edge technology to real business value. We explore her insights on operationalizing AI, scaling analytics across enterprises, and overcomin ... Show More
38m 26s
Feb 3
Beyond the Model: Building Scalable, Responsible AI Systems
Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows.Key Highlights:Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multim ... Show More
27m 47s
Oct 2021
Live From INTERACT: Microsoft's Developer Velocity Research
<p>This week we have another episode from the 2021 engineering leadership conference INTERACT. In this live conversation, Conor Bronsdon, Community Lead at LinearB and the executive producer of the Dev Interrupted podcast, interviews Henrik Gütle, GM of Azure for Microsoft Canad ... Show More
15m 15s
Mar 2022
ONE MORE thing every dev should know (Changelog Interviews #483)
The incomparable Jessica Kerr is back with another grab-bag of amazing topics. We talk about her journey to Honeycomb, devs getting satisfaction from the code they write, why step one for her is "get that new project into production" and step two is observe it, her angst for the ... Show More
1h 14m
Jan 2023
Amjad Masad - The Future of Software Creation - [Invest Like the Best, EP.310]
My guest today is Amjad Masad. Amjad is the founder and CEO of Replit, whose mission is to bring the next billion software creators online. Replit has built a browser-based coding environment that makes coding more fun, collaborative, and approachable. We discuss how that is poss ... Show More
1h 3m