
Vectara recognized for model development and AI knowledge management
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Vectara recognized for model development and AI knowledge management
Read more
As recent headlines remind us, think of the SaaS supply chain breach that left sensitive customer data exposed. The speed of innovation is outpacing the guardrails.

The last five years have seen conversational AI explode in both hype and reality. It’s not just tech giants and startups fighting for a piece of the pie; every industry, from banking to retail to healthcare, is rethinking how they communicate.

On‑premise AI and machine learning models used to be a niche concern for banks, defense, and pharma. Now, almost every serious enterprise that touches sensitive data is at least talking about it.

Most AI systems are "text-blind" to your most valuable IP - tables, charts, and video. Discover how Vectara processing of Multimodal data bridges the gap between unstructured media and actionable enterprise intelligence

In part 1 of Context Engineering for Everyone, we cover that Prompt engineering didn’t fail, it evolved. In 2026, the frontier of AI performance isn’t prompt magic, it’s engineered context flows built for logic, compression, and precision retrieval. The system is the solution. This is context engineering for everyone.

Boards are already spending serious time on AI over 62% of directors now have it as a standing agenda item. Yet when an AI system misbehaves, that same board is suddenly asking one awkward question: “Who approved this?”

Every January, we predict big events and transformations for tech. 2026 is the year the AI stack starts to solidify, governance stops being an afterthought, and enterprises finally admit that “just plug in a big model” is not a strategy.

Why Conversational AI Breaks Down in the Enterprise and How to Make It Work

Even with a world-class platform engineering team, building your own Agentic orchestration layer is likely a strategic misstep. Here is why the smartest enterprises are choosing an "Agent Platform" over DIY.
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