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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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11 top HRIS certifications to boost your career

CIO Business Intelligence

As HR technology evolves, professionals in the sector need to understand not only how the solutions function, but how to extract the most benefit from emerging system capabilities. The best way to accomplish this is through human resources information management (HRIM) and human resources information systems (HRIS) certification.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

AI can help with all of these challenges via manufacturing-specific use cases that benefit manufacturers, their employees, and their customers. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal. Here’s how.

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Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

A variety of roles in the enterprise require or benefit from a GRC certification, such as chief information officer, IT security analyst, security engineer architect, information assurance program manager, and senior IT auditor , among others.

Risk 119
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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

If this is a popular phrase in your company’s executive suite, risk-taking is a phantom virtue. To stay out of harm’s way, charter a few harmless initiatives — ones that aren’t likely to succeed, will pass the cool test if, in the off chance, they do happen to succeed, but won’t do much damage if they fail.

Risk 116
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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

It also allows companies to experiment with new concepts and ideas in different ways without relying only on lab tests. Choose the right artificial intelligence tools such as System Innovation to help you manage innovation and confront the challenges of technological advancements. Automate processes. Take advantage of data analytics.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

But continuous deployment isn’t always appropriate for your business , stakeholders don’t always understand the costs of implementing robust continuous testing , and end-users don’t always tolerate frequent app deployments during peak usage. CrowdStrike recently made the news about a failed deployment impacting 8.5