Artificial intelligence will have a dramatic impact on network operations, according to data from Cisco Systems, augmenting human decision-making and reducing the time spent on repetitive or manual tasks
Insights: Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have arrived in the data center, changing the face of the hyperscale server farm as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers. The race to leverage machine learning is led by the industry’s marquee names, including Google, Facebook and IBM. As usual, the battlefield runs through the data center, with implications for the major cloud platforms and chipmakers like Intel and NVIDIA.
Arthur Mulligan and Ed Spears from Eaton explore the value of predictive analytics when planning risk mitigation for critical system management. They also share examples of customers using predictive analytics to avoid problems associated with business and environmental challenges beyond your control.
The COVID-19 pandemic will drive innovation in data center operations, forcing companies to embrace automation to manage some duties that currently rely on close human interaction. The first in a series on innovation to address pandemic-driven challenges.
NVIDIA has unveiled a new generation of its GPU technology designed to further shake up the world of AI computing. Here’s a look at the DGX A100 system, and what it may mean for the data center.
A new wave of commercial satellite imaging companies are collecting upwards of 100 terabytes (TB) or more per day, filling data centers and enabling granular analysis of trends that drive our economy.
A new report from QTS points out that the data center industry may have “lagged behind the curve” when it comes to digital innovation. But that may be changing, as business needs and customer expectations continue to ramp up and change at a rapid pace.
The COVID-19 crisis has underscored the benefits of automation, including remote IT management and AI-driven security. New data from Cisco illustrates how data growth is testing the limits of manual network management.
Gerry Fassig, Vice President, Sales, at CoreSite, explores how best to power AI and machine learning across a variety 0f industries and sectors through data and processing power.
Jeff Klaus, General Manager of Intel Data Center Management Solutions, explores how Intel Memory Failure Prediction (Intel MFP) uses machine learning to improve the performance and reliability of server memory to predict potential failures and prevent downtime.
Marc Cram, Director of Sales, Server Technology, highlights as artificial intelligence continues to reshape the world of business, businesses will be relying on AI to reshape the way their data centers operate.