Remove solutions modelops
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The DataOps Vendor Landscape, 2021

DataKitchen

It is easy to get overwhelmed when trying to evaluate different solutions and determine whether they will help you achieve your DataOps goals. BMC Control-M — A digital business automation solution that simplifies and automates diverse batch application workloads. ModelOps/MLOps. Testing and Data Observability.

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Gartner – Top Trends in Data and Analytics for 2021: XOps

DataKitchen

Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Figure 2: XOps practices link together DataOps, ModelOps, and DevOps. DataKitchen Blog: Deliver AI and ML Models at Scale with ModelOps. What is XOps? . DataKitchen Blog: Improving Teamwork in Data Analytics with DataOps.

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Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment

DataKitchen

In this report, Gartner outlines recommendations to effectively operationalize AI solutions that involve the core management competencies of ModelOps, DataOps, and DevOps. Figure 1: Operational AI Requires ModelOps, DataOps, and DevOps Practices. Blog: Deliver AI and ML Models at Scale with ModelOps.

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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models. But to launch models and ensure success, CIOs and CDOs must establish a model lifecycle or ModelOps. Establish MLOps, ModelOps, and infrastructure-monitoring capabilities.

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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”. Blog: A Guide to Understanding DataOps Solutions. Forrester recommends: .

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Eight Top DataOps Trends for 2022

DataKitchen

Since then, people have been creating new Ops terms at a pretty rapid pace : AIOps, MLOps, ModelOps, PlatformOps and many more. . Lean is about self-reflection and seeking smarter, less wasteful dynamic solutions together. We group all of these methodologies underneath “Lean Manufacturing.”

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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

An Omdia report notes, “Successful enterprise ML at scale demands the careful orchestration of a complex tapestry made up of people, processes, and platforms, an effort that does not end when an ML solution goes live but instead continues for the life of the solution.” . A partial solution lies in the adoption of MLOps.