2 years ago

Category: Software, Business, Data, Cloud, automation, machine-learning, artificial-intelligence

IT teams have played a critical role this past year, by enabling rapid digital innovation and empowering organizations to adapt quickly to changing customer and employee needs. Demand for digital transformation continues, and it will drive long-term success for enterprises that embrace it.

This approach can be slow because it needs to collect a sizable amount of data to train the algorithm.

Plus, as ITOps teams still need to get involved to make final decisions and act on insights, many of the efficiency benefits that AIOps is supposed to deliver, such as the ability to work automatically in the background while teams focus on higher value tasks, are lost.

This is the promise of the second key type of AIOps, which is built around deterministic AI.