*NEW RESEARCH* Operationalising AI/ML: ECS Partner Perspective

We are at a pivotal time for AI/ML adoption. The need to operationalise AI/ML is becoming more pressing because no matter how successful Proof-of-Concept (PoC) and departmental projects are in their own right, they need to be scaled up and out and maintained to ensure in-use accuracy and deliver the type of substantive business change expected of them. 

‘Operationalising AI/ML: ECS Partner Perspective’ is the latest in a series of reports examining the challenges organisations face moving AI/ML-enabled projects into production and managing ML model lifecycles. Previous reports have analysed of the approaches in play by Amazon Web Services, Microsoft and Google Cloud.

With AI/ML building blocks a major part of hyperscale providers’ portfolios, the role of partners able to convert those building blocks into business outcome-producing solutions is becoming critical. The report explores the AI/ML partner opportunity through the approach taken by ECS Group. It provides insight into the role of MLOps in tackling complexity and driving at scale deployments and addresses lesser known issues such as stale data and data drift. It also looks at how a large UK retail bank is using and benefitting from MLOps.

The AI/ML market is at a point where suppliers and customers need to review the fundamentals of deployments, with a view to getting them right before too much technical debt builds up, which is why ‘Operationalising AI/ML: ECS Partner Perspective’ is a ‘must read’ report – download it here. 

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Posted by Angela Eager at '17:30' - Tagged: cloud   enduser   AI   ML