ModelOp Center

Govern and Scale your AI Initiatives
ModelOp Center
Govern and Scale your AI Initiatives
Leading Analysts’ Views
ModelOps lies at the center of any organizations’ enterprise AI strategy, it is an enabling technology that is key to converging various AI artifacts, platforms and solutions, while ensuring scalability and governance

Gartner, ”Innovation Insight for ModelOps”, Farhan Choudhary,
Shubhangi Vashisth, Arun Chandrasekaran, Eric Brethenoux,
6 August 2020

Gartner

Your AI Transformation Is Doomed Without ModelOps

Forrester, ”Introducing ModelOps to Operationalize AI”,
Kjell Carlsson, Ph.d., and Mike Gualtieri,
August 13, 2020

Forrester

Why ModelOp Center
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What People are saying about ModelOp Center
What people are saying about ModelOp Center
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The unique business process approach of ModelOp Center not only solves the deployment, monitoring and governance of models, it also creates the bridge between different worlds: Operations, IT and Data Science.
What people are saying about ModelOp Center
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As a Business Unit Leader, I was struggling to measure the ROI from AI projects. ModelOp Center is a true business accountable solution that provides us with the ability to add business KPIs and thresholds to each model and manage and manage them overtime.
What people are saying about ModelOp Center
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Being a traditional bank with legacy systems, we needed a product that could keep us competitive with the fintech companies, and incorporating Machine Learning models into existing programs, and managing all the models we have would have not been possible without ModelOp Center.
What people are saying about ModelOp Center
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The automation aspect of ModelOp Center is saving us resources and is giving us the peace of mind knowing that our AI programs are under control and any compliance issue can be addressed quickly.
What people are saying about ModelOp Center
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Being able to define a Model Life Cycle for each model, with triggers, threshold and alerts is the best feature of ModelOp Center, as it saves us resources, and it prevents manual errors and Finally, we have a single pane of glass on the entire enterprise models in production, with a 24x7 control over their life cycles.
What people are saying about ModelOp Center
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With ModelOp Center the frustrating process of deploying and maintaining models is over. I can create any model with any language or platform, onboard it and make any changes over time.
What people are saying about ModelOp Center
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In a fast-moving space such as AI, we wanted to avoid any lock-ins, ModelOp Center agnosticism is giving us this flexibility and we didn’t have to rip-and-replace our existing AI investments.
What people are saying about ModelOp Center
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For DevOps people like myself, it was unconceivable the lack of consistency in deploying and managing Data Science products. ModelOp Center gave discipline to the operationalization of AI/ML models, similarly to what DevOps did for software.
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Govern and Scale Your Enterprise AI Initiatives
Real-time Monitoring
Immediately detect and remediate model performance issues
Continuous Compliance
Establish and enforce business and technical controls with a rules-based engine
Automated Life Cycle Management
Orchestrate the steps in entire model life cycle with integration to DevOps, IT and business systems and applications

Getting Started with ModelOp Center is easy.

Gartner Disclaimer
Any reference made to “ModelOps” is about model operations platforms, not the company ModelOp. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.