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.
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---Timestamps:00:00 Introduction and Background00:56 Choosing Research Projects at GitHub Next06:09 ML Focus in GitHub Next10:52 ML Work and the Leaky Abstraction13:16 Idan's Journey into the AI Space17:54 Evaluating the Impact of AI Products24:36 Testing AI Products in Smaller Organizations32:52 The Future of AI Interfaces40:01 Transitioning from Prototype to Product46:45 Challenges in the ML/AI Space56:03 Recommendations
➡️ Idan Gazit on LinkedIn – https://www.linkedin.com/in/idangazit/➡️ Idan Gazit on Twitter – https://twitter.com/idangazit
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