Generative AI Builds on Existing Data Science Capabilities

GenAI hype meets industrial reality. Discover why data teams still matter—and where AI is truly delivering impact.

In this episode, we dive deep into the real-world state of AI adoption across industries, unpacking the findings of a major new survey with Gabriel Krummenacher. We explore which AI use cases actually move the needle—hint: operational efficiency tops the list—and why simply chasing the latest GenAI trends won't deliver results without a solid data science foundation.

You'll hear our honest takes on what separates hype from impact, why ethical frameworks and governance drive innovation (not stifle it), and how US and European companies are taking very different paths with AI. If you're wondering where AI is truly transforming business—and what it really takes to succeed—this episode is for you.

Quantum Systems

https://www.quantum-systems.com/

Kaggle

https://www.kaggle.com/

Antropic

https://www.anthropic.com/

AlphaFold (DeepMind)

https://www.deepmind.com/research/highlighted-research/alphafold

Trumpf

https://www.trumpf.com/

ASML

https://www.asml.com/

Qualcomm

https://www.qualcomm.com/

ETH Zurich

https://ethz.ch/en.html

Zühlke

https://www.zuehlke.com/

OpenAI

https://openai.com/

Toby Walsh

https://www.cse.unsw.edu.au/~tw/