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 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
Jan 6
Beyond Checklists: Evaluating Conversational AI
In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools.Carlos shares why traditional checklist-based e ... Show More
22m 52s
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