Tuesday, 11th December 2018

Making the business case for AI in IT Ops

Enterprise customers are not looking to buy artificial intelligence or machine learning technology, but are seeking management tools to simplify IT Operations and DevOps. Hence, we can measure the success of AI/ML-driven management technologies based on their ability to free up the 25% of development- and 50% of IT operations resources that are typically absorbed by the release process and by ongoing application and infrastructure operations.

Stephane Zantain, Head of Customer Engagement, Europe, at Capgemini Invent, explains why customer en...
Cerner has applied DevOps principles to their capacity management practice – and call it BizOps. Thi...
Justin Martin, lead of capacity management team at Cerner, talks about his goals for the capacity ma...
Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its...
CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares h...
William Hill shares how AI and machine learning play a massive role in self-healing and the transfor...