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Automating Model Risk Compliance: Model Validation

DataRobot

Validating Modern Machine Learning (ML) Methods Prior to Productionization. In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Validating Machine Learning Models.

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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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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. A purposeful MLOps strategy can provide exactly this.

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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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Promoting cybersecurity awareness in your boardroom

Lacework

For businesses looking to expand, mergers and acquisitions (M&A) are a popular strategy. You may have to learn unfamiliar compliance frameworks, applications, and security tools and protocols. Create reports that meet standard compliance frameworks. Why you should promote cybersecurity awareness in your boardroom.

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Making the World a Better Place with Data

CIO

This is intrinsically worthwhile, but it has now been codified as part of the Federal Data Strategy and its stated mission to “fully leverage the value of federal data for mission, service, and the public good.” Agencies need tools and policies that balance transparency, security, privacy, and regulatory compliance.

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What Do Data Scientists Do? A Guide to AI Maturity, Challenges, and Solutions

DataRobot

The future of business depends on artificial intelligence and machine learning. How can they help you determine strategy and attain your business goals? How can they help you determine strategy and attain your business goals? According to IDC , 83% of CEOs want their organizations to be more data-driven. Download Now.