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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 . No longer is the modeler only limited to using linear models; they may now make use of varied data sources (both structured and unstructured) to build significantly higher performing models to power business processes.

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

DataRobot

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

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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?

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Automating Model Risk Compliance: Model Validation

DataRobot

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. Not only does this include reviewing the assumptions in selecting the input features and data, it also requires analyzing the model’s behavior over a variety of input values.

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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. The Lacework Polygraph® Data Platform provides visibility and insight into the security risks and threats that gaming operators struggle with as they strive to protect their players.

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What is Model Risk and Why Does it Matter?

DataRobot

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. 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.