Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move toward automation and autonomous systems.

Synthetic data and digital twins are wildly different things but at the same time complementary in the sense that one simulates data for AI and other simulates the interactions of models for people ...

The Fourth Industrial Revolution is outpacing Industry 4.0. What looks like a paradox actually isn’t, as the two things aren't the same. The term "Industry 4.0" typically means digital technologies, ...

Synthetic data and digital twins are complementary approaches for riffing on real-world data to improve AI and product design. Synthetic data tools generate labeled data for training AI from a small ...

Under the terms of the deal, TotalEnergies will roll out Emerson’s AspenTech Inmation™ across its industrial sites worldwide. This industrial data fabric will continuously collect and centralize ...

As 2023 comes to a close, Shaw Industries chief sustainability and innovation officer Kellie Ballew sat down with Stacy Smedley, executive director of Building Transparency — whose mission is to ...

When millions of people fled Ukraine following Russia’s invasion in 2022, governments and humanitarian organizations used mobile phone and online platform data to track movements and identify where ...

Businesses are good at collecting data, and the Internet of Things is taking it to the next level. But, the most advanced organizations are using it to power digital transformation. Read now The ...