IBM has unveiled a new set of tools designed to bring artificial intelligence (AI) to hybrid cloud environments and help businesses recover from the aftermath of the coronavirus pandemic.
Watson AIOps queries log data held in a company's IT infrastructure and uses AI models to anticipate potential problems and rectify problems before they arise.
Taking advantage of technology developed by the renowned IBM research department, the new AI service is infrastructure independent – and therefore flexible to rapidly changing business circumstances in today's climate.
With hybrid cloud environments made essential by the mandatory transition to remote work, the firm hopes that Watson AIOps can help businesses better protect themselves from future disruptions.
IBM Watson AIOps
According to Hillery Hunter, CTO IBM Cloud, the ongoing pandemic has accelerated the transition from plodding to the cloud, which has become fundamental for business continuity as organizations are forced to adopt remote working.
“The transition to the cloud two months ago was essentially a strategic question, whereas it is now an existential question,” she said during a press briefing before the Think Digital virtual conference of the company.
With security perimeters expanding overnight due to coronavirus lockdowns, a company's ability to do business has diminished to the extent that it can rely on the cloud – and to do it safely.
According to IBM, working on a computer anomaly takes an average of five hours and costs a business $ 135,000. With Watson AIOps, however, problems are eliminated and resolved in 14 minutes and the cost is reduced to around $ 5,000.
“We want to equip every CIO in the world with the ability to detect problems before they happen,” said Rob Thomas, SVP IBM Cloud and Data Platforms.
“Capable of monitoring everything that happens in the company's infrastructure in real time, CIOs are able to act rather than react.”