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The Role of Model Governance in Machine Learning and Artificial Intelligence

Domino Data Lab

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. As such, model governance needs to be applied to each model for as long as it’s being used. As such, model governance needs to be applied to each model for as long as it’s being used. What Is Model Governance?

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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Process Analytics.

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How Enterprise MLOps Supports Scaling Data Science

Domino Data Lab

If it’s not done successfully, both costs and risk increase. This lack of governance and standardization creates technical debt in each project, increases risk and fails to create a repeatable – and measurable – business model. This creates a lot of friction which increases costs and reduces productivity and collaboration.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

Joint customers already use Domino data connectors to retrieve and write data between the Domino environment and the Snowflake Data Cloud. The recently announced partnership between Domino Data Lab and Snowflake enhanced this experience with the integration of Snowflake’s Snowpark and Java UDFs in Domino. 5.21.2'.

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Modeling 101: How It Works and Why It’s Important

Domino Data Lab

Models dramatically lower the cost of prediction, similar to how semiconductors dramatically lowered the cost of arithmetic. Model governance is at the heart of modeling, which involves tracking model artifacts from the moment the first model version is constructed to the final model deployed in a production environment.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

A Model Risk Management framework combines sound governance principles with end-to-end documentation in the design, development, validation, and deployment of new models in the business. The guidance warns: “Model risk can lead to financial loss, poor business and strategic decision making, or damage to a bank’s reputation.”.

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An In-Depth View of Data Science

Domino Data Lab

In this article, take a deep dive into data science and how Domino’s Enterprise MLOps platform allows you to scale data science in your business. But it has taken the availability of low cost, high power compute and memory to make these techniques broadly used. Data Science with Domino Data Lab. None of these techniques are new.