Removing Friction From Your MLOps Processes

According to McKinsey, by building ML into processes, leading organisations are increasing process efficiency by 30% or more while also increasing revenues by 5% to 10%. However, it’s not that simple. Several blockers prevent organisations from overcoming the difficulties encountered when industrialising AI. As a result, it can take up to nine months for teams to go from the Proof-of-Concept stage to the Production stage. In this context, how do you remove frictions from your MLOps process and make your model processes trusted, agile & controlled, so that you can finally deliver more value from your model & analytics faster? In this session, with Catalina Herrara , you’ll learn how Dataiku can help you to:-

• Increase agility and solve difficulties in handoffs between business, data scientists and IT.
• Make your models trusted from the get-go
• Apply model control & approvals to enable, not disable your AI projects

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