TNP Blog

Cisco to predict IT failures using AI

Written by The Network Pro | Oct 31, 2017 8:00:29 PM

Mark Zuckerberg and Elon Musk are not the only ones dabbling with AI and machine learning. According to Cisco, these technologies might be key to the future of IT system management and business continuity, both of which have grown increasingly complex over the years.

Artificial intelligence (AI) and machine learning are extremely useful in helping us sift through massive amounts of information, and networking behemoth Cisco recently announced that they will be incorporating these technologies with two of their services.

Business Critical Services

This suite of services uses AI-powered automation, compliance, security, and machine learning analytics tools to reduce the complexity of IT systems management. It helps monitor the health of your business services and mitigate risks via automated compliance and remediation audits.

You can also replicate your network to improve reliability between your hardware and software components, and deploy features with automation capabilities.

Cisco High Value Services

This product support model provides network, software, and solution support using advanced analytics and best practices to access infrastructure performance and remediate issues. Cisco aims to improve business continuity and reduce resource constraints with remote monitoring, automated incident detection, and high SLAs.

Some of the services you can expect include software analysis, workflow integration, customer benchmarking, and predictive network analysis.

Using cutting-edge technologies as well as networking and hardware expertise, Cisco is gearing up its attempt to predict IT failures before they happen. That said, we assume it’s only a matter of time before other major developers follow suit, and when they do, you’ll be the first to know.

If you’d like to learn more about how to predict IT failures before they happen, or stay protected and operational when they do, just give us a call.

Published with permission from TechAdvisory.org. Source.