Is AIOps the Answer to Your AI Woes?

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Companies must make AIOps a vital part of company operations to survive the coming digital transformation.

AI adoption is going to be a key component for business survival by 2025, based on a global study by Genpact, but companies still struggle with what that means and how to accomplish it. More often than not, those big AI-driven initiatives end in failure. So, where’s the disconnect between the need for AI and its implementation?

According to the Harvard Business Review, there’s one reason and one reason only that companies keep missing the mark. If your business wants to survive in the next phase of digital transformation, you need AI Operations.

See also: AIOps Gaining Traction as Technology Accelerator

What is AIOps?

Businesses are so focused on the shiny appeal of AI that they fail to consider how they’ll actually use their new AI-initiatives. HBR’s biggest lesson in all of this is the need to build an AI-integrated organization from the ground up, i.e., building and managing AI to deliver results.

Companies must take stock of existing systems and use AI-driven initiatives to facilitate those end results. For example, companies could use contract management software to shorten the time from inquiries to signing new contracts. The infrastructure must be there first.

This concept is more than just the software. A business must invest in engineers and developers able to identify key areas where AI could transform a process into something that produces results, and that requires more than simple development.

Much like DevOps revolutionized software development and DataOps is transforming big data, AIOps takes the same approach of integration and continual insight. A proper AIOps loop sees a measurable end goal and can get there using AI-driven initiatives.

Building AIOps into Business

Businesses must address the layers of AIOps if they want to implement AI effectively. These layers are vital for companies that want to use AI to drive insights, transform business practices, and survive digital transformation.

  • Get the right environment — AI models are part of a much larger system. The production environment should be dependable, flexible, and scalable. These systems can integrate into an existing system that companies can use.
  • Get the right team — You must have an AIOps team, but what type of team makes sense for your business? You could create your own in-house team through hiring and promoting, or you could partner with an AIOps vendor with the right expertise.

Setting up AIOps for your business

Before you get distracted by all of AI’s shiny features, consider how it will integrate into your existing systems. AIOps is “a competitive necessity,” according to HBR. Companies must make AIOps a vital part of company operations to survive the coming digital transformation.

Elizabeth Wallace

About Elizabeth Wallace

Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain - clearly - what it is they do.

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