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 ...

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

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, ...

As Canada advances its national AI strategy, we must ask what digital migration data reveal, and what they leave unseen.

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 ...

The digitization of natural history collections has transformed centuries-old cabinets of specimens into dynamic digital archives that underpin modern biodiversity science. By converting physical ...

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 ...

With data and analytics morphing into a core business function, and much of it being found in the cloud, cloud native is rapidly breeding innovation. The recent AWS Startup Showcase — “New ...