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Data protection strategy: Key components and best practices

IBM Big Data Hub

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. With the benefits being numerous and the costs of not having good BI growing, it is easy to want to quickly adopt a solution. Your Chance: Want to build a successful BI strategy today?

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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. A procurement strategy is not merely a series of steps for acquiring goods and services. What is a procurement strategy?

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8 steps to build a successful multicloud strategy

IBM Big Data Hub

Increasingly, enterprise organizations are adopting a multicloud approach—the use of cloud services from more than one cloud vendor—to optimize performance, control costs and prevent vendor lock-in. Security risks: Maintaining strong security measures is a critical component of enterprise cloud adoption.

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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 97
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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.

Risk 97
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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.