IT systems are becoming increasingly complex to manage, so much so that humans alone can no longer make sense of them. As such, there is a growing demand for technologies that can help simplify and automate business IT. According to Cisco, the inception of artificial intelligence (AI) and machine learning has accelerated that ability even further, leading to outstanding long-term potential.
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.