The MLOps Podcast

🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production

May 16, 2024

Idan Gazit, Senior Director of Research at GitHub Next, talks about exploring strategic technologies, ML focus at GitHub Next, challenges of evaluating the impact of AI products, journey into AI space, testing AI products in smaller organizations, and the future of AI interfaces.

01:02:56

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Episode guests

Idan Gazit

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Episode notes

Podcast summary created with Snipd AI

Quick takeaways

GitHub Next team embraces risky projects to innovate where others hesitate, uncovering groundbreaking advancements.

Innovation process at GitHub Next resembles a jazz band jam session, with iterative exploration and convergence on promising concepts.

AI development aims to enhance reliability by breaking through the suggestion ceiling and structuring interactions into stages for user intervention.

Deep dives

Innovation Through Risky Bets

The team at GitHub Next takes on risky projects that the rest of the business might avoid, aiming to innovate where others hesitate. By embracing risk and exploring new technologies, the team seeks to uncover groundbreaking advancements that traditional engineering orgs might overlook.

Introduction

2min

Innovative and Collaborative Iterative Process in a Small Team

4min

Embracing Risks and AI Evolution in Entrepreneurship

7min

Journey into AI Space through Unexpected Paths

3min

Exploring Clustering and Dimensionality Reduction with Chad GPT

2min

Testing AI Products and Interfaces

22min

Exploring Boundaries and the Innovation Process

7min

Challenges and Progress in AI

16min

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

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The MLOps Podcast

🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Innovation Through Risky Bets

Exploration and Collaboration

Challenges in AI Development

Transitioning from Prototype to Product

Tools and Technologies Recommendations

Remember Everything You Learn from Podcasts