Becoming truly data-driven requires more than adopting new tools-it demands clear alignment between business goals and data architecture. At Data Summit 2026, John O'Brien, principal advisor and ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

The race toward AI is revealing a plethora of much-needed optimizations at the architectural level—and upgraded data management strategies are taking center spotlight. Experts from Snowflake and ...

Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

Colleges and universities can make better use of the data they collect by implementing solutions that offer greater visibility and management. Matt is an associate editorial director and award-winning ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

Legacy data platforms aren’t enough to drive state and local agency success in today’s environment. Here’s what modernizing can do instead. All modern organizations, including state and local ...

New technology leads to new sources and forms of data. This leads to new questions about how to preserve, collect, process, review and produce it during litigation. In eDiscovery circles, we call this ...

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide database solutions and the storage of unstructured data formats in structured ...