The modern enterprise is currently caught in a cycle of technological magical thinking. Walk through the halls of any Fortune 500 company, and you will hear a consistent, almost religious refrain: We must modernize our legacy data platform. We need…
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…
For the past two decades, corporate technology leaders followed a predictable playbook when managing company intelligence. They gathered data from every fragmented corner of the organization and built massive pipelines to extract and transform that information. Then they poured everything…
By Gaurav GuptaEnterprise data strategies are evolving rapidly, and organizations increasingly rely on Databricks Consulting Services to modernize data platforms and support AI-ready architectures. To power AI, analytics, and real-time decision-making at scale, companies need a unified platform that simplifies data management…