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

CIO Business Intelligence

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

There are a lot of risks and a lot of land mines to navigate,” says the analyst. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. It’s a significant danger with significant costs. The opportunity is too big. billion in 2024 to $521.0

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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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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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Accelerate hybrid cloud transformation through IBM Cloud for Financial Service Validation Program

IBM Big Data Hub

The cloud represents a strategic tool to enable digital transformation for financial institutions As the banking and other regulated industry continues to shift toward a digital-first approach, financial entities are eager to use the benefits of digital disruption. Most of these new technologies are born-in-cloud.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. Underpinning these initiatives are digital transformation core competencies , which include design thinking, product management, agile methodologies, devops practices, citizen development, and data governance.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

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