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Automating Model Risk Compliance: Model Development

DataRobot

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

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Automating Model Risk Compliance: Model Validation

DataRobot

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. The post Automating Model Risk Compliance: Model Validation appeared first on DataRobot AI Cloud. In the next post, we will continue our discussion on model validation by focusing on model monitoring.

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Not Getting the Most From Your Model Ops? Why Businesses Struggle With Data Science and Machine Learning

TIBCO - Connected Intelligence

Companies have begun to recognize the value of integrating data science (DS) and machine learning (ML) across their organization to reap the benefits of the advanced analytics they can provide. What are the barriers keeping businesses from operationalizing data science and machine learning? Reading Time: 2 minutes.

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Rapid AI Iteration, Reducing Cycle Time: Key Learnings from the Big Data & AI World Asia Conference

DataRobot

At the DataRobot Booth at Big Data AI World Asia 2022 Chief Data Officers data scientists and IT leaders learned the latest in AI-driven business outcomes. Automate with Rapid Iteration to Get to Scale and Compliance. AI Consumers ensure that a model fits with organizational values, compliance, legal, and regulatory requirements.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance.

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Gaming and cloud security, don’t get played

Lacework

If an increasing cadence of attacks wasn’t enough, gaming companies have unique challenges with compliance issues when compared to other industries. By using a combination of AI and machine learning, Lacework continuously monitors for anomalous behavior, alerting to those activities unusual for your cloud environment.

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What is Model Risk and Why Does it Matter?

DataRobot

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. The new regulation greatly reduced the minimum threshold for compliance for banks from $50 billion to $1 billion in assets. More on this topic. The Framework for ML Governance.