A doctor holding a digital twin of a patient's heart.

Why the digitalization of the life sciences is so unique

Digitalization of the life sciences contextualizes data so digital twins, simulations and artificial intelligence (AI) adapt for medical use.

Born on a digital thread: how AI and the Digital Twin redefine additive manufacturing

Successful additive manufacturing requires a focus on speed and scalability and software-defined manufacturing.

How EDA Is Evolving for a New Era of Semiconductor Complexity

Semiconductor complexity is accelerating at a pace that traditional design methods struggle to handle. As transistor counts race toward one…

The future of manufacturing is local, flexible and digital

Manufacturing is undergoing a transformation driven by supply chain disruption, sustainability goals and the need for more flexible production models….

A concept image for the digitalization of the life sciences industry

Life sciences industry’s big win: last in the digitalization race

The life sciences industry can implement proven digitalization tools and improve more than any other industry has from a digital transformation.

What BFSI must do now to prepare for AI

The future of AI in BFSI will be driven not just by technology, but by trusted data, strong governance, and pragmatic execution.

A glass of beer and its digital twin is superimposed on top of an image of bees.

Hidden industrial AI secrets from beer, bees and more

Learn industrial AI tips from experts in adjacent industries that are a few steps ahead.

Powering humanoids: the promise and reality of solid-state batteries

The future of batteries for humanoid robots will depend on close collaboration across the entire battery ecosystem.

The foundation of financial AI: data, governance, and trust

Before organizations can fully deploy advanced AI and agent-based solutions, they need clean and contextualized data.