The AI Data Paradox: High Trust in Models, Low Trust in Data

The AI Data Paradox: High Trust in Models, Lo...

Suivant

From Data Engineering to AI Engineering: Where the Lines Blur

Summary In this solo episode of the Data Engineering Podcast, host Tobias Macey reflects on how AI has transformed the practice and pace of data engineering over time. Starting from its origins in the Hadoop and cloud warehouse era, he explores the discipline's evolution through ...  Afficher plus

Malloy: Hierarchical Data, Semantic Models, and the Future of Analytics

Summary In this episode Michael Toy, co-creator of Malloy, talks about rethinking how we work with data beyond SQL. Michael shares the origins of Malloy from his and Lloyd Tabb’s experience at Looker, why SQL’s mental model often fights human problem solving, and how Malloy aims ...  Afficher plus

Épisodes Recommandés

Specialized AI brains for physical industry
Catalyst with Shayle Kann

Everyone wants a piece of general purpose models. Instacart has deployed ChatGPT for recipes and meal planning. The Mayo Clinic is using it to summarize patient records. Schneider Electric is using an OpenAI LLM to generate sustainability reports. With such powerful models, what’ ...  Afficher plus

The connected world of energy | Special episode from Wood Mackenzie
Energy Gang

Host Ed Crooks talks to Jason Liu, Chief Executive of Wood Mackenzie and co-author (with Chief Analyst Simon Flowers) of a new book, Connected, about the fast-changing world of energy. They are also joined by Sunaina Ocalan, formerly Senior Director for Corporate Strategy & ...

  Afficher plus

How People Actually Use ChatGPT
The AI Daily Brief: Artificial Intelligence News and Analysis

This episode of AI Daily Brief dives into two important reports on how people are really using AI tools like ChatGPT and Claude. OpenAI’s massive study with Harvard and NBER reveals consumer patterns across 1.5 million conversations, while Anthropic’s Economic Index tracks broade ...  Afficher plus

#295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy
DataFramed

The role of data and AI engineers is more critical than ever. With organizations collecting massive amounts of data, the challenge lies in building efficient data infrastructures that can support AI systems and deliver actionable insights. But what does it take to become a succes ...  Afficher plus