Here is a common story of how companies trying to adopt AI fail. They work closely with a promising technology vendor. They invest the time, money, and effort necessary to achieve resounding success with their proof of concept and demonstrate how the use of artificial intelligence will improve their business. Then everything comes to a screeching halt — the company finds themselves stuck, at a dead end, with their outstanding proof of concept mothballed and their teams frustrated.
The Dumb Reason Your AI Project Will Fail
For all we hear about the wonders of AI, one critical factor is often left out: How do you actually integrate artificial intelligence into your business? The answer, the authors argue, is AI Operations (or AIOps for short). At its most basic, AIOps boils down to having not just the right hardware and software but also the right team: developers and engineers with the skills and knowledge to integrate AI into existing company processes and systems. A good AIOps team will help a business build a robust production environment that is dependable, flexible, and scalable. This team can either be in-house, which will cost more up front, but give businesses more control, or contracted out, which will lower overheard, as well as administrative costs, but will likely meaning giving up the option of running a proprietary system, as well as some control. But, if you’re considering integrating AI into your business, AIOps can help you avoid costly failures and keep the system running smoothly.