Artificial Intelligence - Thought Leadership

Understanding data fabrics for Industrial AI

February 25, 2026

It would not be wrong to say that data is the lifeblood of AI, with huge models processing millions of…

By Spencer Acain

3 MIN READ

Topics in AI Systems: Part III — GNN+LLM Architecture and Implementation Patterns

February 22, 2026

In Part I of this series, we explored why fusing Graph Neural Networks (GNNs) and Large Language Models (LLMs) is…

By Mohsen Rezayat

5 MIN READ

Developing an AI enhanced chip design process Podcast – Transcript

February 20, 2026

If the only constant is change, then AI represents the next big change for many tools and industries. High-level synthesis,…

By Spencer Acain

6 MIN READ

Why OEMs must increase simulation adoption

February 20, 2026

Efficiency in manufacturing is key to ensuring competitiveness for years to come. Manufacturers around the world work to tackle labor…

By Bianca Ward

3 MIN READ

Topics in AI Systems: Part I — GNN and LLM Fusion

February 18, 2026

In a meeting with my Siemens colleagues late last year, I made the comment that Graph Neural Networks (GNNs) are…

By Mohsen Rezayat

6 MIN READ

Two automotive industry professionals collaborating on AI-driven solutions, viewing a laptop screen with a prominent 'AI' graphic overlay, representing the integration of agentic AI technology in automotive enterprise operations

How do automotive enterprises succeed in the agentic era?

February 18, 2026

Introduction Across the automotive industry, teams at every level — from engineering and IT to production, quality, and operations —…

By Ray Kok

3 MIN READ

The Digital Enterprise and the Synthesis of Industrial AI, Digital Twin and Data

February 18, 2026

Digital Enterprises are built on three core technologies: the comprehensive Digital Twin, Software-Defined Everything (SDX) and Industrial Artificial Intelligence (AI). With such a foundation, Digital Enterprises will develop game changing speed, adaptability, resiliency and sustainability as they collect and understand historical and real-time data.

By Conor Peick

8 MIN READ