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

CIO Business Intelligence

One meaning: initiatives that, as outlined above, have potential benefit but a high probability of failure. The other: structural risks — situations that might become real and would cause serious damage to the IT organization and its business collaborators if they do. In risk management terms it “prevents” (aka avoids) them.

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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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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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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. For instance, if cost savings is a goal, a corresponding procurement objective might be achieving a level of cost reductions.

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The Value of Data Governance and How to Quantify It

erwin

And with many competing projects and activities vying for people’s time, it must be clear to people why choosing data governance activities will have a direct benefit to them. Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We

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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. Benefits of AI and IoT in Businesses. The advantages of IoT and AI could be combined to reap the full benefits of both.

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