Federal agencies are increasingly focusing on digital transformation as part of their mission to provide efficient, secure and modern citizen services. Driven in part by the 21st Century Integrated ...

The Chair advised the group that the next Data Transformation Check and Challenge meeting will be held on Friday 20 February 2026.

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...

Museums like the Smithsonian and Natural History Museum are using digital transformation to turn massive legacy collections into accessible, collaborative research tools.

At MWC Barcelona 2026 the president of Huawei Data Storage Product Line shared Huawei's key insights and innovations ...

“The Civil Service AI and Data Challenge has shown both the breadth and depth of opportunities to apply AI and data in ...

Data transformation and optimization — tasks that many, if not most, large enterprises deal with — aren’t easy. And thanks to the enormous growth of AI and cloud technologies, the challenges appear to ...

Most organizations today (93%, according to one study) have adopted or plan to adopt a digital transformation strategy. This strategy must accomplish two things: It must make the process faster and ...

Data is currently at the center of everything we do. No business can thrive without it. Outcomes depend on the quantity and quality of data you can access and leverage to improve timelines and ...

The rise of artificial intelligence (AI) has revolutionized how industries operate, and data centers have become the nerve center of this transformation. From streaming services to real-time ...

Data is one of the main driving forces in healthcare’s ongoing transformation. As the industry continues its progress from fax-based communications and printed out patient forms, the data ecosystem ...

As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...