Borderless data architectures: Empowering AI agents where your data lives
VentureBeat · Raj Pai, Google Cloud ·
AI agents need access to data across cloud, on-premises and edge environments. Borderless data architectures bring modern AI capabilities to data that can’t move.
Presented by Google Cloud
For the last two decades, cloud has been the cornerstone of modernization for nearly every industry allowing enterprises to hand off infrastructure management, in order to focus on business innovation. But some data was never going to move. Regulatory, operational and business requirements have long kept certain workloads out of the public cloud, and enterprises need access to modern data technologies wherever their data lives.
AI is now making that need more urgent. As enterprises look to apply AI to their data, they need the same best-of-breed capabilities in their own data centers that they'd get in the cloud.
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