Cloud-Service

Sponsored by IBM

  June 21, 2018

1 PM EST 

 

You know that workloads, organizations, culture and process are impacted by the successful transition to cloud. When DevOps/Lean replaces ITIL, traditional IT service management must transform to remain relevant. Infrastructure ops must stop thinking of themselves as the "center of the universe" and start thinking of themselves as a "skilled service organization" for multiple DevOps teams. Indeed, site reliability engineering (SRE) has emerged, with a greater focus on automation to operate the cloud in a scalable way.

Join Sinead Glynn and Jim Carey as they explain why IBM believes adaptive automation, delivered through innovative machine learning, is now essential to achieve cloud service management at scale.

SineadGlynn

Sinead Glynn, Offering Manager - IBM Operations Analytics, IBM Hybrid Cloud


Sinead is the Offering Manager for the IBM Operations Analytics Portfolio. In her 10+ years at IBM, Sinead has worked in both Development Management and Offering Management. These roles have covered Performance Management, Operations Analytics and Operations Management portions of the IT Service Management Portfolio.

 


 

 

 

 

.JimCarey_ITOA

Jim Carey, IT Service Management, Netcool & BSM Products, IBM Hybrid Cloud

Jim Carey has been involved in Enterprise IT Operations Management and Service Provider OSS Service Assurance for many years in all capacities of product delivery including development, product management, and strategy. He is currently responsible for the strategy and direction of the IBM Netcool portfolio of products providing leadership Service Assurance, innovative analytics, and trusted operations management solutions many of the largest telecommunications and enterprise companies in the world.