Description
High Signal is an AI and data science podcast hosted by Hugo Bowne-Anderson and produced by Delphina. Each episode features in-depth conversations with leading experts in the fields of data science, machine learning, and AI. The podcast aims to provide listeners with practical insights and actionable takeaways that can be directly applied to their work, whether they are data scientists, engineers, or business leaders.
The podcast covers a wide range of topics, including the verification crisis in AI, the economic realities of AI, and the lessons that can be learned from baseball's use of data science. Notable episodes include discussions with Noah Smith on the challenges of trust in AI, Steve Tadelis on the economic friction in data science, and Chris Fonnesbeck on the historical role of baseball in analytics.
High Signal is designed for data scientists, engineers, analysts, and business leaders who want to stay at the forefront of AI and machine learning. It also serves as a bridge for improving communication between technical and non-technical teams, making projects more effective and impactful.
New episodes are released bi-weekly, and listeners can subscribe on platforms like Spotify and Apple to stay updated. The podcast is a valuable resource for anyone interested in the intersection of technology, data, and business, offering insights from top minds in the industry.
What You'll Get
In-depth interviews with industry experts
Actionable insights for data professionals
Bi-weekly episode releases
Focus on AI and data science
Produced by Delphina
Hosted by Hugo Bowne-Anderson
Covers economic and trust issues in AI
Real-world case studies
How to Follow High Signal
Listen: Subscribe on Spotify or Apple
Engage: Follow discussions with industry leaders
Apply: Use insights in your work
Grow: Stay updated with bi-weekly episodes
Who High Signal Is Best For
- Career Advancement
- Industry Trends
- Technical Communication
- Practical Insights
- Expert Knowledge
