27 Jul, 2026
As we enter a new year, I’ve been reflecting on a question nearly every CEO, CIO, and CTO is grappling with today: Over the past two years, enterprises have invested…

Reimagining the Enterprise in the Age of AI

As we enter a new year, I’ve been reflecting on a question nearly every CEO, CIO, and CTO is grappling with today: Over the past two years, enterprises have invested heavily in AI pilots—chatbots, copilots, dashboards, and proofs of concept. Yet many leaders are realizing that AI bolted onto legacy architectures does not deliver transformation. […]

2 mins read

Why Modern Enterprises are Moving Beyond Legacy Data Archives

Problem Overview Enterprise data archiving has historically focused on cost containment, regulatory retention, and application performance optimization. Platforms such as Informatica Data Archive emerged during an era dominated by on-premises systems, batch processing, and structured data workloads. For many organizations, these solutions provided stability and compliance at scale. Today, enterprise data environments have changed materially. […]

4 mins read

Data Discovery for AI: Fix Discoverability Gaps Before You Scale Agents

If your AI cannot reliably find the right data, everything downstream looks like a model problem. It is not. It is a discoverability problem. Discoverability is not search. It is trust. In enterprise AI, discoverability means an assistant or agent can find, understand, and trace the data, logic, and decisions behind an answer. When discoverability […]

3 mins read

MCP, Structured Context Interfaces, and Why AI Governance Finally Becomes Real

MCP is not the strategy. MCP is the wiring. The strategy is a governed, discoverable, provisioned data foundation that makes AI consistent. The core problem Enterprises are racing to deploy copilots and AI agents, but the trust gap is real. When AI can act, not just answer, every weak integration becomes a risk surface. Inconsistent […]

3 mins read