Enterprises need to stop treating large language models as standalone runtimes. Successful AI-native enterprises depend on governed data architectures, scalable platforms, and engineering disciplines that support AI deployment at scale. Right now, most enterprise AI infrastructure is just a collection…
For the past decade, enterprise technology leaders have been operating under a singular, deeply flawed premise: that the simple consolidation of data equals organizational intelligence. We built massive data lakes, poured petabytes of unstructured information into object storage, and told…
The corporate conversation around Artificial Intelligence has shifted from “What if?” to “How fast?”. Enterprises are no longer satisfied with isolated machine learning experiments or brittle proofs-of-concept (PoCs). The race is on to build production-grade generative AI applications, agentic workflows,…
Let’s be brutally honest here: your current enterprise data platform wasn’t built for AI. That isn’t a dig at your engineering team, and it’s not a failure. It’s just a reality check.The data warehouse sitting at the center of your…