AI Transformation with ModelOps

ModelOps Is The Key To Enterprise AI

Jun Wu, Forbes – March 31, 2020

In the last two years, large enterprise organizations have been scaling up their artificial intelligence and machine learning efforts. To apply models to hundreds of use-cases, organizations need to operationalize their machine learning models across the organization.

At the center of this scaling up effort is ModelOp, the company that builds solutions to scale the processes that take models from the data science lab into production. Even before their recent $6 million Series A funding led by Valley Capital Partners with participation from Silicon Valley Data Capital, they are already the leader providing ModelOps solutions to Fortune 1000 companies.

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All ModelOp Blog Posts 

ModelOp Announces ModelOp Center Release 2.2

ModelOp Announces ModelOp Center Release 2.2

New ModelOp Center Capabilities Improve Governance, Management and Monitoring of Artificial Intelligence and Machine Learning Models ModelOp Center unlocks the value of AI and ML investments, reducing model operationalization costs by as much as 30% and accelerating...

Are Your Model Governance Practices ‘AI Ready’?

Are Your Model Governance Practices ‘AI Ready’?

Stu Bailey, Forbes – November 18, 2020 For some industries, the use of AI and machine learning models is novel, but several industries—consumer finance and insurance in particular—have been building, using and governing models for decades. These industries have...

Critical Success Factors in Enterprise Model Governance

Critical Success Factors in Enterprise Model Governance

In consumer finance and insurance, businesses have been building, using, and governing models for decades. The adoption of unstructured data and advanced computational techniques is adding new layers of complexity that affect model deployment and the associated...

ModelOps Is Just The Beginning Of Enterprise AI

ModelOps Is Just The Beginning Of Enterprise AI

Jun Wu, Forbes – October 9, 2020 Most of this year, enterprises have been reviewing the lessons learned in the past few years from their Enterprise AI initiatives, i.e., what has worked, what hasn’t, and how to move forward to modernize their infrastructures and take...