High Signal - AI and Data Science Podcast

LATEST EPISODES

Listen in: The freshest insights from data and AI leaders

Check out the latest episodes earning attention from the data community.

Episode

5

Gabriel Weintraub on The Hard Truth About Building AI Systems and What Most Leaders Miss About AI

With

Gabriel Weintraub

Amman Mineral Professor of Operations, Information & Technology

,

Stanford Graduate School of Business

In this episode of High Signal, Gabriel Weintraub (the Amman Professor of Operations, Information, and Technology at Stanford Graduate School of Business), brings his expertise in market design, data science, and operations, enriched by his experience with global platforms like Uber and Mercado Libre, to a conversation that spans practical strategies, cultural insights, and global perspectives on data and AI.

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Episode

4

Ramesh Johari on How to Build an Experimentation Machine and Where Most Go Wrong

With

Ramesh Johari

Professor

,

Stanford University

Ramesh Johari (Stanford, Uber, Airbnb, and more) explores the art and science of online experimentation, especially in the context of marketplaces and tech companies. Ramesh shares insights on how organizations evolve from basic experimentation practices to becoming fast, adaptive, and self learning organizations. We dive into challenges like the risk aversion trap, the importance of learning from negative results, and how generative AI is reshaping the experimentation landscape. We also talk about common failure modes and the types of things you're probably doing wrong, along with strategies to avoid these pitfalls. Plus, we discussed the role of incentives, the necessity of data driven decision making, and what it means to experiment in high stakes environments.

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Episode

3

Chiara Farronato on Data Science Meets Management: Teamwork, Experimentation, and Decision-Making

With

Chiara Farronato

Associate Professor

,

Harvard Business School

Harvard Business School's Chiara Farronato discusses how digital platforms like Airbnb and Uber have transformed industries. She explores the challenges of fostering collaboration between managers and data scientists, bridging communication gaps, and building data-driven cultures. Chiara also delves into the complexities of managing peer-to-peer marketplaces and the evolving role of data in decision-making. This episode offers key insights for business leaders working with technical teams and navigating platform-based innovation.

Play episode

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Listen up: Our latest discussions

Hear the latest takes on data science and AI from industry leaders.

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Episode

5

Gabriel Weintraub on The Hard Truth About Building AI Systems and What Most Leaders Miss About AI

With

Gabriel Weintraub

Amman Mineral Professor of Operations, Information & Technology

,

Stanford Graduate School of Business

In this episode of High Signal, Gabriel Weintraub (the Amman Professor of Operations, Information, and Technology at Stanford Graduate School of Business), brings his expertise in market design, data science, and operations, enriched by his experience with global platforms like Uber and Mercado Libre, to a conversation that spans practical strategies, cultural insights, and global perspectives on data and AI.

Episode

4

Ramesh Johari on How to Build an Experimentation Machine and Where Most Go Wrong

Ramesh Johari (Stanford, Uber, Airbnb, and more) explores the art and science of online experimentation, especially in the context of marketplaces and tech companies. Ramesh shares insights on how organizations evolve from basic experimentation practices to becoming fast, adaptive, and self learning organizations. We dive into challenges like the risk aversion trap, the importance of learning from negative results, and how generative AI is reshaping the experimentation landscape. We also talk about common failure modes and the types of things you're probably doing wrong, along with strategies to avoid these pitfalls. Plus, we discussed the role of incentives, the necessity of data driven decision making, and what it means to experiment in high stakes environments.

Episode

3

Chiara Farronato on Data Science Meets Management: Teamwork, Experimentation, and Decision-Making

Harvard Business School

Harvard Business School's Chiara Farronato discusses how digital platforms like Airbnb and Uber have transformed industries. She explores the challenges of fostering collaboration between managers and data scientists, bridging communication gaps, and building data-driven cultures. Chiara also delves into the complexities of managing peer-to-peer marketplaces and the evolving role of data in decision-making. This episode offers key insights for business leaders working with technical teams and navigating platform-based innovation.

What to Expect:

In-depth Interviews: Hear from top minds in the industry, from academics to industry leaders, sharing their knowledge, experiences, and advice.

Actionable Insights: Practical takeaways that you can apply directly to your work, whether you're a data scientist, engineer, or business leader.

Bridging the Gap: Learn how to improve communication between technical and non-technical teams, making your projects more effective and impactful.

Case Studies: Explore real-world examples from companies across various industries, showcasing how data science and machine learning are being applied to solve complex problems.

Who It's For:

Data scientists, engineers, and analysts looking to stay at the forefront of AI and machine learning.

Business leaders and managers who want to better communicate with their technical teams.

Anyone interested in the intersection of technology, data, and business.

Stay Tuned:

New episodes of High Signal are released bi-weekly, featuring thoughtful conversations and insights to help you grow and succeed. Subscribe now on Spotify or Apple to stay updated!

about us

Our story: We’re more than just voices

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meet The team

Duncan, Jeremy, & Hugo

Duncan Gilchrist, Jeremy Hermann, and Hugo Bowne-Anderson have decades of collective experience leading data science and data engineering teams at data-driven orgs like Uber, DataCamp, Tecton, and Gopuff.

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