All Thought Leadership

Thought Leadership

Lattice Boltzmann is the future of CFD. Update now. Transcript

August 26, 2026

Digital twins powered by the lattice Boltzmann method enable operators to test multiple scenarios in seconds.

By Shawn Wasserman

Thought Leadership

AI Agents, Data Security and Domain Knowledge

August 25, 2026

In the latest episode of the Future Ready Podcast, host Spencer Acain sat down with Samir Desai to continue their...

Verification Horizons

The Verification Problem Is Changing. Are We Asking the Right Questions

August 24, 2026

DVCon India 2026

By Harry Foster

The Art of the Possible

Towards robust optimal sensor placement for thermal digital twins in electronics

August 23, 2026

Physical sensors are expensive and spatially restricted. Thermal Digital Twins leverage physics models and strategic sensing to provide virtual temperature data at critical, inaccessible locations where physical hardware cannot go.

By Matteo Depaola, Robin Bornoff

Thought Leadership

What BFSI must do now to prepare for AI-transcript

August 21, 2026

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

Thought Leadership

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

August 21, 2026

Kate Eby: Hello, and welcome to the Industry Forward podcast, where we explore key trends, transformative technologies, and real-world innovations that...

Thought Leadership

Hidden industrial AI secrets from beer, bees and more – Transcript

August 19, 2026

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

By Shawn Wasserman

Thought Leadership

The hidden mechanics of cloud waste: How to eliminate idle infrastructure

August 18, 2026

Worldwide IT spending is projected to reach $6.08 trillion in 2026, a 9.8% increase from 2025, in large part due to cloud...

Thought Leadership

AI is powering smarter, safer human-aware humanoids- transcript

August 14, 2026

The future of humanoid robots depends on combining AI-driven learning and powerful semiconductor architectures.