The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Rahul Mewawalla Imagine a ...

To utilize the edge network to its full potential, organizations need the right IT infrastructure. Here are key considerations about the technology needed to support edge deployments in the future.

As a subset of distributed computing, edge computing isn’t new, but it exposes an opportunity to distribute latency-sensitive application resources more optimally. Every single tech development these ...

Don’t curb your enthusiasm: Trends and challenges in edge computing Your email has been sent All kinds of devices and systems are using edge computing systems in the business world and the everyday.

But what does this mean in practical terms—what, specifically, can edge computing help consumers, businesses and specialists do? Below, 20 members of Forbes Technology Council detail some current and ...

5G can empower you with not only faster connectivity, but also immersive augmented reality, self-driving vehicles, and industrial automation. ZDNET zeroes in on how edge computing, among the most ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Retail is no longer just about selling products; it’s about creating seamless, real-time ...

Edge and 5G computing have been promising transformative computing for a number of years, but it's only lately that compelling and viable use cases have been emerging, pushing these technology sets ...

In the rapidly evolving world of IoT (Internet of Things), cloud computing has become a cornerstone for processing, analyzing, and storing large amounts of data. However, as real-time applications and ...

The information technology sector has consistently outperformed investor and analyst expectations in 2023, and this trend appears to be continuing into the current year. This impressive performance ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.