Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

A.I. has provided positive resources for all but with popularity comes the risk for negative exposure.

While the fears about the impact of AI pummel software stocks, many leading industrial and biotech companies are seeing huge ...

Global virtual event to feature Jon McNeill, former Tesla president, EXL leaders and industry experts sharing insights and real-world examples of AI in enterprise workflows ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

The Founders worried that the U.S. could be undermined by a powerful standing army. Civilians needed to be in control.

The path to AI success starts with a single, well-chosen use case: one that is bold enough to inspire, urgent enough to ...

Though 2025 was defined by widespread experimentation, the consensus among summit leaders is that 2026 marks the official ...

Today’s cybersecurity operations are at a critical juncture. While enterprise IT architectures are growing increasingly ...