The difference between AI success and failure often comes down to five strategic choices that leaders make about their data ...

Setting up our organizations to adapt, respond and grow starts with insight: understanding where content lives, how it’s used ...

The Defense Information Systems Agency (DISA) published its data strategy for fiscal years 2025-2027 on March 4. DISA’s goal is to optimize its network, enhance cybersecurity and leverage artificial ...

As AI becomes central to the enterprise, data engineers are stepping out from behind the scenes to help shape AI strategy and ...

Data loss can trigger massive regulatory fines and compliance nightmares, making robust backup systems and incident response ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...

Rangavittal also gave attendees a glimpse into the next frontier: autonomous agents capable of reasoning, planning, and acting across the supply chain. These systems, he said, will soon sense ...

Agility isn’t just a buzzword anymore; it’s how corporations do things now. Customer expectations and markets change quickly. Businesses that can’t keep up with these changes can fall behind. Being ...

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 ...

Health system Texas Health Resources had lacked a unified, enterprise-wide view of its patients' interactions across care venues, hindering its ability to deliver personalized, coordinated experiences ...