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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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Gaming and cloud security, don’t get played

Lacework

“It’s all fun and games until someone loses an eye or our system gets compromised.” – Some cloud gaming executive (probably). Attackers know that gaming companies are reliant on a complex web of cloud infrastructure that must stay online in order to stay in business. This means attacks are likely to continue at a faster pace.

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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. The Framework for ML Governance. Download now.

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

DataRobot

Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform. Automate with Rapid Iteration to Get to Scale and Compliance. Closing the Value Gap: Reducing AI Cycle Time.

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Promoting cybersecurity awareness in your boardroom

Lacework

And with the growth of cybersecurity and cloud security, acquired companies tend to bring increasing amounts of cyber risk with them. Cybersecurity and cloud security have become especially critical for companies undergoing the M&A process. Create reports that meet standard compliance frameworks. Cyber risk is business risk.

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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. appeared first on DataRobot AI Cloud. Download now.

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How Healthcare Can Meet the Challenges of Cloud Migration and Reap Optimal Benefits

TIBCO - Connected Intelligence

A report from “The Economist” reveals that cloud technology began playing a significant role in the healthcare industry as early as 2016. Back then, adopters saw the cloud as the solution to many major challenges in service delivery—including record management, remote care, and reaching low-income patients—and they were right.