3 years ago

Category: Business, Infrastructure, artificial-intelligence

As with any groundbreaking new technology, the early days are fraught with frustration when IT teams deploy unproven solutions and expect immediate ROI. This is assuredly the case for artificial intelligence for IT operations (AIOps), which combines machine learning, data science, and other computational approaches for solving modern digital operational problems at scale. IDC’s Worldwide CIO Agenda 2020 Predictions expects that 60% of IT organizations will deploy artificial intelligence (AI) to “augment, streamline, and accelerate IT operations” through 2022.

While there are clear benefits to a data-driven approach for event and incident management, IT leaders should also consider the tradeoffs involved in a successful implementation: IT professionals gravitate towards feature comparison checklists while evaluating different AIOps tools.

Here are some considerations: Before investing in an AIOps solution, technology leaders should first analyze their current state of IT operations, measure the business outcomes that they wish to achieve, and select tools driven by organizational priorities.