We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...

Trust remains the defining challenge of the AI era—and the clearest path to advantage. Organizations that get it right will ...

The Next Frontier. In contrast to traditional supply chains, which react to problems after they emerge, cognitive supply ...

Explore how Lakehouse and LakeDB models are shaping data architectures for autonomous AI systems, ensuring governance and ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

AI can’t deliver full value unless it’s fed a complete picture of structured data from systems of record, combined with ...

While this involves significant execution risk, there is definitely a chance -- albeit a small one -- that Innodata can ...

Artificial intelligence (AI) is moving fast, and the infrastructure that supports it is playing catch-up. If data is the new oil, then many organisations are still drilling with r ...

Iron Software Reports 300% Surge in Enterprise Demand for Perpetual, Air-Gapped Solutions as Companies Seek AI Innovation ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

Post 1AI agents are no longer just prototypes—they’re becoming core enterprise tools. But with that shift comes a new security reality.As highlighted in Security Boulevard, securing AI agents can’t be ...