#180: At a time when big data and machine learning are transforming the enterprise, it is hard to see what is coming next. The answer: artificial intelligence. The transformation of AI into AIOps — machine learning in the cloud that continuously learns and optimizes predictive models — may be the next game-changer for businesses, but how can you get started?
In this episode, we speak with Richard Whitehead, CTO at Moogsoft, about where AIOps is in 2022, and why the humans shouldn’t fear for their jobs…yet.
As Chief Evangelist, Richard brings a keen sense of what is required to build transformational solutions. He’s a DevOps Institute Ambassador, and serves on the DevNetwork AI/ML Advisory Board.
A former CTO, and Technology VP, Richard brought new technologies to market, and was responsible for strategy, partnerships and product research.
Richard served on Splunk’s Technology Advisory Board through their Series A, and more recently co-chaired the ONUG Monitoring & Observability Working Group.
Darin Pope is a developer advocate for CloudBees.
Viktor Farcic is a member of the Google Developer Experts and Docker Captains groups, and published author.
His big passions are DevOps, Containers, Kubernetes, Microservices, Continuous Integration, Delivery and Deployment (CI/CD) and Test-Driven Development (TDD).
He often speaks at community gatherings and conferences (latest can be found here).
He has published The DevOps Toolkit Series, DevOps Paradox and Test-Driven Java Development.
His random thoughts and tutorials can be found in his blog TechnologyConversations.com.
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