Is Infrastructure Holding Back Adoption of AI at Scale?
Is Infrastructure Holding Back Adoption of AI at Scale?

Abstract: 

Our surveys of enterprise machine learning specialists reveal that at least half of organizations believe their technology infrastructure isn’t prepared for the future demands that will be placed on it by the adoption of AI and machine learning at scale. They face challenges up and down the stack, from silicon, through storage, networking and compute bottlenecks as well as the key decisions around best execution venue – on-premises, in the cloud or hybrid. In this session Nick will examine why AI puts strains on infrastructure and how it can be overcome.

Bio: 

Nick Patience is 451 Research’s lead analyst for AI and machine learning, an area he has been researching since 2001. He is part of the company’s Data, AI & Analytics research channel but also works across the entire research team to uncover and understand use cases for machine learning. He is a co-founder of 451 Research and rejoined the team in 2015 after almost three years running product marketing at machine learning-driven eDiscovery and information governance software company Recommind (now part of OpenText).