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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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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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Project management: Tips, tools, best practices

CIO Business Intelligence

What is project management? Project management is a business discipline that involves applying specific processes, knowledge, skills, techniques, and tools to successfully deliver outcomes that meet project goals. Project management steps Project management is broken down into five phases or life cycle.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

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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 use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Such datasets are measured by how many “tokens” (words or word parts) they include.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

2) BI Strategy Benefits. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Benefits Of Implementing a BI Strategy. Table of Contents.