Salesforce Data Cloud is often mistaken for a customer data platform, but that framing misses its purpose. This post explains why Data Cloud is designed as an operational data layer that activates data across Salesforce workflows, not just marketing use cases.

The underpinnings of this approach are understandable. Teams are trying to move fast without committing too deeply to a platform that may still be proving itself, and without asking for the budget they may not have. A Quick Start becomes the compromise. It shows progress, limits exposure, and keeps options open. The instinct is not wrong. The problem is that the compromise often remains implicit rather than being made explicit.

Salesforce’s acquisition of Informatica signals a shift toward addressing the data quality, governance, and trust challenges that sit between integration and real AI adoption. This post examines how Informatica completes the Salesforce ecosystem and why data foundation matters more than ever.

Healthcare and life sciences organizations face a widening gap between rapid innovation and the technology foundations needed to support it. This piece examines why readiness, resilience, and data governance now matter more than hype as AI, interoperability, and new care models accelerate.