But managing, leveraging and realising the commercial advantage of data is also hard. If fully leveraging data is difficult enough, the bar is only getting higher – with AI changing the game.

Context helps AI interpret information instead of just processing it. When systems can connect data, history and intent, they ...

Explore the evolution of data engineering, focusing on agentic systems and AI pipelines for enhanced analytics and enterprise ...

At the center of this transformation is Anusha Joodala, a seasoned data engineer and EdTech innovator who has spent years ...

Ever wondered why your TTC bus was inexplicably delayed by 15 minutes, or a train had to bypass your local subway stop?  Well ...

We create and consume data continuously. This data is specific to us, but when consolidated, this shared data can be of immense value. The value is not only for population level insights.

While the market pressure is on, and companies are forging ahead with plans for AI and AI agents, the data for these projects may not be ready.

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

The demand for data centers continues to rise. Artificial intelligence can help developers build smarter, faster. Learn more ...

Data centers’ rise from the periphery of energy conversations to center stage has been nothing short of astounding – but it ...

Cornell’s CU GeoData project team brings together engineering and earth science students to design and deploy low-cost ...

As Amazon’s layoff plans continue to unfold, a surprisingly large number of engineers find themselves at the center of the ...