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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here

Cloudera

This accelerator will provide access to the entire AI lifecycle, giving customers a robust, hybrid-cloud solution for production LLM ModelOps & real-time inferences. Pre-built Demos and Reference Architectures (AMPs): Get a head start with ready-made solutions designed for specific AI use cases.

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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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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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What capabilities do you actually need to deploy AI in your organisation? by James Heward

Scott Logic

Two popular ones are MLOps from Google and ModelOps from IBM. However, as I outline under the headers below, developing and operating AI/ML solutions differs from traditional software development and operations in a few key areas – and, I’ll argue, in one area in particular.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. Forty-five metrics!

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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.