Data Masters Podcast | Tamr

S

4

-

EPISODE

29

Data Masters Podcast

released

April 15, 2026

•

Runtime:

44m12s

Applying the Scientific Mindset to Machine Learning, Data Science and AI

Jonathan Burley

Director of AI of Bloomberg Industry Group

Building effective AI products isn't just about using the latest large language model; it's about asking the right questions and solving real problems. In this episode, we’re joined by Jonathan Burley, Director of AI of Bloomberg Industry Group, to explore his journey from modeling climate systems to leading AI strategy. Jonathan discusses why the scientific mindset is critical in machine learning, the value of the minimum viable experiment and how to avoid the pitfalls of generative AI demos.

Listen to Episode

Subscribe to the Data Masters podcast series

Bridging the Gap Between Engineering and Business Strategy

Startup Reality Check: Why Cool Products Don’t Always Sell

Breaking Into Data Careers: Practical Paths for Newcomers and Career Switchers

How Open Source, Python and AI Are Shaping the Data Future

Empowering Clinicians Through AI and Data Innovation

From Insights to Impact: Making Data Work for Customers

How Semantic Layers Future-Proof Data Strategies

Leading Financial Transformation Through Data Innovation

Balancing Data Context and AI Scale

Redefining Energy Through Data and AI

Scaling Efficient Marketing Through Generative AI Automation

Moving Beyond Chatbots: Rethinking AI Interfaces

Solving Business Problems With Smarter Data Products

Balancing Innovation and Security in Analytics

Amplifying Community Voices Through Data

Building Emotional Loyalty Through Data

Reducing Documentation Burden Through Real-Time Data Capture

Using Real-Time Insights To Drive Manufacturing and Supply Chain Agility

Building Credibility in the Age of Misinformation

Building a Data-Driven Future in Construction

Understanding Audience Intent Through Content Consumption

How To Pitch Your Data Story

Building Data-Driven Marketplaces and Automated Logistics

How Data Streaming Transforms Data Flow and Analytics

How Ground Truth Data Fuels Accurate Machine Learning Models

Transforming Data and AI for Seamless Customer Experiences

Evolution in Healthcare and Education Through Data and AI

Integrating AI and Data Into Executive Strategy

How AI Enhances Human Collaboration and Drives Innovation

AI Integration Strategies for Business Success with Elena Alikhachkina

A Guide to Effective Data-Driven Collaboration with Joel Shapiro

The Future of AI and Data-Driven Technologies: Insights from Randy Bean

Exploring the Modern Data Stack and AI

Miro’s Misha Advena on the Future of Data Teams

Mode Analytics' Benn Stancil on Data Collaboration

Bayesian Optimization for Databases

Ethical, Responsible, and Trustworthy AI

Harnessing the Power of Data Analytics for Business Innovation

Navigating the Frontier of AI-Language Models

Navigating the Evolving Role of the Chief Data Officer

Osmo is Giving AI the Ability to Smell

Turning Up The Volume On Silent Data Bugs

How To Help End-Users Truly Be Data-Driven

"The Data Knows" — Finding Answers To Drive Digital Health Innovation

Fail Fast, Learn Faster

Finding the business value for moving data to the cloud

Mining data for gold medals

Attacking data science with an "always learning mindset"

It's about solving a business problem, not the data

DataOps and the state of digital transformation

Data and the City

The role empathy plays in data visualization

Overcoming COVID-19 data collection challenges

How Data Keeps El Al Israel Airlines Airborne

An Introduction to Dataops

Getting Data Mastering at Scale Right

The Entrepreneurial Approach to Data Management

The State of the CDO

The Evolution of the CDO

Lights, Camera, Data

With Liberty and Data for All