The Impact of AIOps

 “By 2024, 30% of business leaders will rely on AI Ops platforms for automated insights to drive business-related decisions, as compared to less than 3% today…” - Gartner Predicts 2020: IT Operations.

Today, siloed IT teams are continuously monitoring disparate software/systems' performance alerts for threshold metrics still unashamedly following the 'Break/Fix Model' of IT Operations trying to prevent the proverbial stuff hitting the fan.

Yes, AI Ops platforms are fantastic at delivering automated insights to prevent problems from occurring in the first place; saving costs, reducing the burden of support on IT, freeing up time.

In the 10 years I have been building AI Ops platforms, I have yet to come across an organisation that has all the skills in-house/outsourced to continuously and simultaneously act on said automated insights, consider the trillions of trade-offs required to make the complex decisions, in seconds, to assure application performance 24/7/365, without fail.

This problem can only be solved with AI-Powered Application Resource Management®, ensuring Applications are continuously resourced so they always perform will save even more time and money, TODAY.