Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Outdated, duplicated, or misplaced data blocks agentic AI. Enterprises must inventory, grade and ensure real-time data access for seamless workflows.

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...

When I was recently asked, on a panel about the future of artificial intelligence, to name the most exciting technology I’m working on, my answer — “data” — drew a sidelong glance from the moderator.

Wealth management firms want the best of both worlds—the scale to operate efficiently and the independence to stay flexible. Broker-dealers and RIA aggregators are taking different paths to get there, ...

Pressure to plan for artificial intelligence (AI) projects has led IT leaders to keep data that might only be used once and increased the prevalence of single-use data that fills storage never to be ...

The product catalog is the primary sales asset in the complex ecology of global B2B commerce. Unlike B2C transactions, which tend to be impulsive and aesthetics-oriented, business-to-business ...