As someone who’s worked with AI for the last 30 years (yes, it was a thing 30 years ago), I’ve often thought of its capabilities were overrated and used for the wrong things in many cases. Now that it’s cheap thanks to cloud computing, and much more effective thanks to the pace of innovation, AI as a solution is coming up again, including the use in cloud operations.

The idea is to replace people with AI to be both proactive and reactive to cloud operational issues such as outages, resource governance, security attacks, and performance. Cloudops involves largely repeatable problems, right?

[ Learn more about AI in the enterprise world: What AI can really do for your business (and what it can’t) • 4 key AI concepts you need to understand • Primer: Make sense of cognitive computing • How to tell if AI or machine learning is real • Reality check: The state of AI, bots, and smart assistants. ]

There are of course some upsides and some downsides to this. Moreover, although the use of AI in cloud operations maybe a foregone conclusion, there will still be a learning curve that is required. As long as you understand that and know what to expect in terms of ROI for both the short term and long term, I’m okay with anything that that makes cloud operations more effective.

To read this article in full, please click here