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 ...

ERNIE-4.5-21B-A3B-Thinking is available now on Hugging Face under an enterprise-friendly Apache 2.0 license — allowing for commercial usage — and is specifically optimized for advanced reasoning, tool ...

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

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 ...

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

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 ...

Ramprakash Ramamoorthy, Director of AI Research at Zoho, explains why real-world AI adoption demands more than APIs and ...

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 ...