Testing AI Products and Interfaces

In this episode, Idan Gazit, Senior Director of Research at GitHub Next, discusses his role in exploring strategic technologies and incubating long bet projects. He explains how the GitHub Next team chooses research projects and the process of exploration and theme selection. Idan also shares insights into the ML focus at GitHub Next and the challenges of evaluating the impact of AI products. He reflects on his journey into the AI space and provides advice for testing AI products in smaller organizations. Finally, he shares his thoughts on the future of AI interfaces. Join our Discord community: https://discord.gg/tEYvqxwhah --- Timestamps: 00:00 Introduction and Background 00:56 Choosing Research Projects at GitHub Next 06:09 ML Focus in GitHub Next 10:52 ML Work and the Leaky Abstraction 13:16 Idan's Journey into the AI Space 17:54 Evaluating the Impact of AI Products 24:36 Testing AI Products in Smaller Organizations 32:52 The Future of AI Interfaces 40:01 Transitioning from Prototype to Product 46:45 Challenges in the ML/AI Space 56:03 Recommendations ➡️ Idan Gazit on LinkedIn – https://www.linkedin.com/in/idangazit/ ➡️ Idan Gazit on Twitter – https://twitter.com/idangazit 🌐 Check Out Our Website! https://dagshub.com Social Links: ➡️ LinkedIn: https://www.linkedin.com/company/dagshub ➡️ Twitter: https://twitter.com/TheRealDAGsHub ➡️ Dean Pleban: https://twitter.com/DeanPlbn