This National Cybersecurity Awareness Month, learn the three digital risk management priorities that are top-of-mind as leaders face increased pressure to secure their businesses, bottom lines and reputations.
By 2030, our lives will be more connected, mobile and digital than ever before. Emerging technologies are enabling us to augment, enhance, and optimize our lives; from autonomous vehicles to connected homes and digital cities. Explore the research.
Trailblazers is exploring the science and technology that grew from battlefield survival to biomechanical innovation that is on track to surpass natural human capabilities.
For years, researchers have been asking what else they can do to detect real fraud. In the annals of cyber warfare, the ability to use machine learning to detect and thwart threat confronts the very real problem of too many false alarms.
When done right, data monetization can be an untapped source of third-party revenue. Learn why companies should consider leveraging data insights to achieve these tangible results.
A large real estate firm in New York City created a private operating system to better crunch and report its data, and machine learning and mobile technology to maximize cost savings and keep tenants comfortable during all seasons.
Searching for the perfect cup of coffee can be such a grind(er). That’s why Briggo uses data and robotics to understand how to make their coffee experience better with each cup. Hear from Marsha Osborn, Briggo’s Chief Operating Officer, as she discusses how they use technology to provide their customers a connected coffee experience.
Host Jessica Chobot thinks she’s healthy. But will her check-in with AI give her a clean bill? The doctor is in on this episode of HvR.
Experts across the globe are turning to data and transformative technologies like machine learning to predict, prepare for, and manage disasters that follow wildfires. Learn how emerging technologies are transforming satellite information to deliver data far faster and with more detail than ever before.