Keysight Technologies Inc. announced PathWave Waveform Analytics, an edge-to-cloud computing application that improves anomaly detection and reduces data storage costs in pre-silicon validation using machine learning algorithms.

At the risk of giving away the conclusion too early, there’s a clear place — not to mention, a need — for both application and infrastructure deployments in the cloud and on the edge.

Mission Critical and Panduit commissioned Clear Seas Research to conduct a survey measuring industry awareness and usage of edge computing solutions. A total of 100 experts were asked how they would explain edge computing to someone new in the industry.

In many ways, IoT is still a buzzword. But more significantly, new technologies, which have grown from various IoT initiatives, have led to a revolution in the data center. The abundance of new data is having a significant impact on how deep learning, artificial intelligence (AI), and machine learning (ML) applications are leveraged.

New data from Synergy Research Group shows that first quarter (Q1) spend on cloud infrastructure services reached $29 billion, up 37% from the first quarter of 2019.

When IT departments look to switch to a virtualized environment, it seems they are almost always talking about cloud. However, both HCI and cloud have their respective benefits and drawbacks.

EnGenius expanded its cloud solution with multi-gigabit PoE++ switching to meet the demands of Wi-Fi 6 access points that support over 1 gigabit speeds, power devices that exceed 30 W, and appeal to upmarket customers.

Many organizations have a forcing function that moves them to the cloud. While a forcing function is helpful to get buy-in across teams for the move, it can result in a less than ideal transition to the cloud.

Most CEOs, CTOs, and CIOs agree that the risk of going out of business is definitely high without incorporating digital strategies in their portfolios.