Top AIOp Trends to Look Out for in 2020

by April 22, 2020 0 comments

AIOp

AIOp platforms, according to Gartner, are the software systems that combine big data and artificial intelligence (AI) or machine-learning functionality “to enhance and partially replace all primary IT operations functions, including availability and performance monitoring, event correlation and analysis, and IT service management, and automation.” AIOps applications are an amalgamation of machine learning and data science to enhance IT operations for better efficiency.

The global research and advisory firm also predicted that “large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023.” Moreover, considering the market reports, we observed that the global AIOps market size is expected to reach US$ 237 billion by 2025.

To gauge the prosperity of the AIOps market in upcoming years, here are some of the trends to look out for in 2020.

This year marks an important trend where IT leaders are more likely to take AI seriously and leverage its capabilities in IT operations. A number of current implements of AIOps will build substantial business use cases for future references and secure buy-ins from top industry leaders. Moreover, increased investment in AIOps can drive significant benefits in accelerating product profitability. With leadership focusing more on implementation of AI into IT operations, the AIOp technology is set to mature further.

As noted by Tech Radar, the emergence of ‘data-agnostic’ or ‘open’ tools that can take in data from a wider variety of sources will be one of the key trends to look out for in 2020. IT teams that capitalize on these tools will reap great rewards, as it will give them the chance to undertake more re-engineering of the core data platform and allow the tool to draw from a greater range of data inputs and types, as well as provide comprehensive analytics. The richer the data the tool can go on, the greater number and quality of insights the algorithms can arrive at. The deeper the visibility afforded to IT operations, the better the understanding of problems there can be, and the easier it is to fix them. Teams can more accurately predict issues that may occur by taking certain actions and avoid implementing such changes in mission-critical parts of the business.

Furthermore, according to Will Cappelli, an analyst at Gartner, a lot of top vendors and web service providers, like Google and AWS, are going to try to offer AI as a service. AI becomes a cloud-based commodity, and this is how these organizations want businesses to consume AI. “Whether this will be successful or not is another question, but nonetheless I believe there will be a big marketing and technology push.”

Also, the year 2020 will see AIOps becoming an embedded capability of observability. Currently, the AIOps solution landscape is quite fragmented. Vendor point solutions and ancillary technology providers are converging, but over the next 12 months, AIOps market is expected to experience a major shift. Observability platforms that enable IT operations teams to leverage all of the telemetry and operational data they need for AI and machine learning will be key to speedier incident response.

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