AIOps will continue to rapidly grow in adoption in 2020 and shows no sign of slowing down. With its perfect blend of AI and automation, AIOps acts as an enabler for IT agility, thus allowing ease of change in the enterprise IT landscape.

Traditional, siloed IT operations lack the ability to provide a correlated enterprise-wide view across domains, resulting in greater mean time to resolution (MTTR) for incidents. In fact, a recent study found that the average MTTR in such cases is 2.2 hours. Enterprises incur an average loss of $72,000 for every minute of outage in IT services. In other words, mistakes are expensive.

Businesses typically need about six employees to address each incident. This heavy reliance on people and tacit knowledge increases the risk of human error. As massive amounts of data flow into IT operations systems, businesses are struggling to detect, diagnose and resolve critical issues and are unable meet their IT goals.

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The future of AIOps: Not if, but when?
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