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7 Key Roles and Responsibilities in Enterprise MLOps

Domino Data Lab

For an enterprise, the questions can become even more complicated as you add additional team members, each with different roles, into the mix. The Enterprise MLOps Process Overview. However, the roles and responsibilities in the typical lifecycle are seldom this clearly delineated. 7 Key Roles in MLOps.

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. Foundry’s AI survey also identified several roles that companies are looking to hire to help with the integration of gen AI in the workplace.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

Prerequisites Ensure that you have the following tools installed locally: aws cli kubectl terraform Deploy the solution infrastructure Because each ACK service controller requires different AWS Identity and Access Management (IAM) roles for managing AWS resources, it’s better to use an automation tool to install the required service controllers.

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Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

This blog post is co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

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Minding Your Models

DataRobot Blog

With growing financial regulations to ensure model governance and model risk practices, such as SR 11-7, you must also verify that the models meet applicable external standards. Using DataRobot MLOps. So, older models need to be monitored closely or rebuilt entirely from scratch. For Model Management. For Model Management.

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Eight Top DataOps Trends for 2022

DataKitchen

We call this application of DataOps methods to the problem of AI bias “ equity as code ” because the tests that enforce equity are built into automated software applications that test, deploy and monitor the model 24/7. Keep an eye on the eight top trends below that we believe will be significant in the year 2022. AI Accountability.

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