It’s been two years since Gartner published the Market Guide for AIOps Platforms in April 2021. The report states, “There is no future of IT operations that does not include AIOps. It is simply impossible for humans to make sense of thousands of events per second being generated by their IT systems.” The recent wave of acquisitions of AIOps vendors makes us reminisce about a time when AIOps was a buzzword.

Originally posted on Forbes Technology Council As organizations increasingly embark on their digital transformation journey, IT is turning into a profit center, rather than a cost center. CIOs (chief information officers) are more than often referred to as chief innovation officers. New roles like chief data officer and chief analytics officer are rising to prominence. AI and data are at the center of this transformation, as CxOs are faced with daunting challenges in.

While the growth trajectory for data in general is extraordinary, it is the growth of log files that really stand out. As the heartbeat of digital enterprise, these files contain a remarkable amount of intelligence – across a stunning range, from security to customer behavior to operational performance. The growth of log files, however, presents particular challenges for the enterprise. They are not “readable” per se, they require machine intelligence.

For the last couple of years, I have been highlighting yearly predictions at the beginning of each year. For 2023, I would like to expand on one of the trends that I briefly mentioned in my 2022 predictions: superclouds. Since then, there have been a lot of discussions, vendors staking their claims, and clarity around superclouds. In this article, I will look at how observability, AIOps and automation are going to be key tenets for supercloud abstraction and adoption in 2023.