ModelOps vs. MLOps to Address Last-mile Delivery Challenges

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ModelOps is the missing link for today’s approach, connecting together existing data management solutions and model training tools to the value delivered via business applications. By incorporating ModelOps into your AI pipeline, you’ll move past last-mile challenges with operationalizing AI and begin to see the return on your investments in the form of reduced costs, increased revenues, and better risk management. By providing a shared tool to track and manage AI assets across all management stakeholders, an organization can reduce risks associated with ‘shadow” solutions built outside the purview of the IT department.