Learn the differences and similarities between data modeling and data engineering, and how they complement each other in the data lifecycle.

Download this TDWI Playbook today to learn how you can advance your data science with AI-infused tools while minimizing risk ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

Burlington’s own Evan Budz is making waves in the world of youth innovation after winning the Best Project in Innovation at the 63rd Canada-Wide Science Fair, held this year at the University of ...

OMDDAC provides a public space for the consolidation of knowledge and understanding of data-driven approaches to COVID-19, focusing on legal, ethical, policy and operational challenges.

This followed a months-long debate about whether the bill should be amended to force tech companies with AI models to disclose information about their training data.

To better reconcile the various demands placed on rivers, transparent data is needed. Currently, there is no independent data on the impact of environmental flow requirements on hydropower production.

Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with ...

That’s a lot of lost loot.The ‘Holy Grail of Shipwrecks’ Is Still Underwater. So Is Its $17 Billion Fortune.

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its ...