The propensity to confidently give false information likely disqualifies generative AI from operational decision-making. However, this type of AI, with human supervision, could enhance other aspects of data center management.
John is Uptime Institute’s Senior Research Analyst for Cloud and Software Automation. As a technology industry analyst for over two decades, John has been analyzing the impact of cloud migration, modernization and optimization for the past decade. John covers hybrid and multi-cloud infrastructure, sustainability, and emerging AIOps, DataOps and FinOps practices.
jobrien@uptimeinstitute.com
The propensity to confidently give false information likely disqualifies generative AI from operational decision-making. However, this type of AI, with human supervision, could enhance other aspects of data center management.
Gigantic “gigawatt” data center campuses are being proposed or planned in many locations around the world. They could change the digital infrastructure landscape, but many questions — including how many will be built — remain.
Unpredictable costs and “bill shocks” are a growing problem for organizations running their applications and workloads in the public cloud. FinOps could help enterprises analyze, report and optimize cloud and other IT costs.