The share of AI models created but never put into production at large enterprises has been estimated to be as high as 90% or greater. With massive investments in data science teams, platforms, and infrastructure, the number of undeployed AI projects is dramatically increasing — along with the number of missed opportunities. Unfortunately, most projects are not showing the value that business leaders expect and are introducing new risks. DataRobot MLOps delivers the capabilities Data Science and IT Ops teams need to work together to deploy, monitor, manage, and govern machine learning models in production. With DataRobot MLOps, data scientists can: Deploy models in hours not months, proactively monitor ML model health, make efficient and trusted model updates, and apply ML governance best practices.
Author Name: Big Data LDN
Author Description:
Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.