Striving for no missed shipments. Day in, day out, it’s not a straightforward task. Western Digital’s supply chain teams always need to stay one step
The future is bright for data-enabled intelligence such as machine learning and AI as we move towards smarter use of the information we create and capture. The more data the merrier when it comes to predictive technologies that are changing the way we live, work and play.
Livestreaming for business has seen explosive growth during the pandemic, but there’s work to be done to improve user experience.
Fully autonomous vehicles (AVs) are coming. By some estimates, they’ll be ready for passengers en masse as soon as 20201, while others predict we’re at
Data and processing power, together with the data-mining abilities of AI, gives the healthcare industry a new magnitude of medical insights. One method is predictive modeling – a statistical technique using past behavior to predict future outcomes.
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.
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.
Engineers and environmentalists at a Boston-based company have been working since 2015 to tackle the challenges of efficiency and sustainability plaguing data centers today.
Disappearances of plant species are part of a global trend: A decrease in plant and animal biodiversity. Biodiversity is a critical component of the survival of any ecosystem. The growing availability of data storage and increasingly sophisticated machine learning techniques might be able to help.
Far removed from invisible security systems in banks or museums, lasers could help governments and businesses spot potential danger in the atmosphere, earth, and oceans.