My company's 2026 IT Priorities Report reveals that over half of CIOs identify data management and governance, alongside operational excellence, as critical focus areas—highlighting the urgent need to build trustworthy, real-time data environments that can underpin the next generation of AI-driven transformation.

In a rapidly evolving world of technology, the future of artificial intelligence and data storage plays a crucial role in shaping industries and businesses. Renen Hallak (pictured), founder and chief executive officer of Vast Data Inc., has been at the ...

Government agencies collect vast amounts of citizen data, but legacy systems have long limited its impact. This article explores how Adobe is helping agencies unify data, modernize digital experiences and build public trust,

A ready and resilient cyber force is paramount for the Department of Defense (DOD) in today’s complex and ever-evolving digital landscape. Meeting this challenge requires a data-driven and technology-adept cyber workforce. Managing and optimizing this ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are also having to contend with an ever-more complex ...

In today’s hyper-competitive market, every company wants to get the most from its data by putting it toward use cases that either generate revenue or build important business models. Enter, data products: Solutions, applications, or tools that help ...

Harnessing data to improve the equity, affordability, and quality of the health care system. In association withJPMorgan Chase The application of AI to health-care data has promise to align the U.S. health-care system to quality care and positive health ...

Data drives many decisions these days, from traffic flow to ads on social media to fitness trackers to smart meters on the side of a home. But does it extend to the office? How many HVAC businesses are data-driven? Creating a data-driven culture means ...

Many of today’s AI models are all about scale. They gobble up energy and demand constant increases in compute power to stay at the cutting edge. This isn’t the case with physical AI, which requires data—not computation—to remain competitive. While computing power accelerates learning, physical AI systems still need large datasets to learn on.