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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. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

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Retail Metrics that Not Enough Data-Driven Entrepreneurs Track

Smart Data Collective

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

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Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

Enter the need for competent governance, risk and compliance (GRC) professionals. 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 96
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Data-driven competitive advantage in the financial services industry

Cloudera

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110
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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

Big data is the most important business trend of the 21st century. The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well.

ROI 71
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Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers

IBM Big Data Hub

Many federal agencies are appointing CAIOs to oversee AI use within their domains, promote responsible AI innovation and address risks associated with AI, including generative AI (gen AI), by considering its impact on citizens. But, how will these CAIOs balance regulatory measures and innovation? Quality AI requires quality data.

Risk 84