Data Makes Possible

Years ago, a 3D laser scanning device was used to digitally map the Notre Dame Cathedral. As the 850-year-old structure is rebuilt after the 2019 fire that destroyed its iconic roof and spire, this digital copy could help give the Cathedral new life.

The LGBTQ+ community is addressing data equality through video, social media, and other platforms to raise awareness and drive change. We explore how.

From 4D printing to digital twins to intent detection and more, Dr. Kirk Borne shares his "big list" of use cases for your data to drive better outcomes.

Simulation technology amplified by AI could be the key to one day treating a life-altering condition. The marriage of AI and innovative supercomputing tools are showing early signs of success in treating epilepsy.

Dr. Kirk Borne introduces his enterprise analytics framework to drive digital transformation, data analytics adoption, and cultural change for businesses.

The first-ever image of a supermassive black hole needed approximately 4.5 petabytes of astronomy data. Researchers connected a series of highly-sophisticated telescopes around the world to create one virtual, Earth-sized telescope.

Is 5G simply just faster 4G? We clear up a few of the biggest differences between 5G vs. 4G (hint: it's more than just speed!).

What does the future of autonomous vehicles truly look like? While no one can predict the future, we turned to three industry experts steeped in the data and technology around autonomous vehicles to understand the trends they’re seeing in the industry today — and the implications for the future.

* Guest post by the Western Digital team (Digital Analytics Office, Strategic Applications, and Logistics Center of Excellence) Global supply chains are reaching new levels of scale and complexity, with customer requirements rapidly evolving. This makes a one-size-fits-all fulfillment model at best, inefficient, and at worst, downright confusing. Instead, we...

DataOps is agile, incremental, and continuously learns. DataOps should be aligned with clearly stated business outcomes that align with previously stated business mission and objectives. Here are our 12 rules of DataOps.