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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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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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

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 72
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7 IT governance mistakes — and how to avoid them

CIO Business Intelligence

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 115
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4 Ways Big Data Has Made Bluetooth A Terrifying Security Risk

Smart Data Collective

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

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AI Technology is Invaluable for Cybersecurity

Smart Data Collective

AI poses a number of benefits and risks for modern businesses. Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online. A successful breach can result in loss of money, a tarnished brand, risk of legal action, and exposure to private information.