Enterprises may need to supplement SharePoint with governed, AI-ready knowledge platforms to enable accurate, compliant AI agent responses at scale. SharePoint served a generation of enterprise document management. However, as organizations connect AI agents to their knowledge repositories, they come across structural problems. Today’s enterprises require platforms that enforce accuracy, enable compliance, and speak the…

Generative AI has quietly collapsed the seventy-year separation between instruction and data. The companies that recognize this, and build the engineering discipline to match, will own the decade. A few months ago, the chief information officer of a health insurer with more than $20 billion in annual revenue made a remark that has stayed with…

Insurers face growing pressure to deliver accurate, compliant answers faster across increasingly complex product lines. AI knowledge management is how leading carriers are rising to that challenge. Every customer interaction in insurance depends on an agent being able to find the right answer quickly, accurately, and in a form they can communicate with confidence. Getting…

Executive Summary Private equity firms face a distinctive and high-stakes challenge when operating portfolio companies with established brands and loyal customer bases: how to transform legacy, labor-intensive cost structures through AI-powered automation without disrupting the customer experience that underpins the entire value proposition. To illustrate the financial stakes: a 500-agent contact center with fully-loaded agent…

Jensen Huang knows how to simplify complexity. At GTC 2026, he described the AI stack as a five-layer cake: Energy, Chips, Infrastructure, Models, and Applications. Clean. Memorable. Useful. But there’s a layer missing. Look at where the gap sits: between Models and Applications. That’s exactly where enterprise AI breaks down in practice. You have extraordinary…