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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111
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Data center provider fakes Tier 4 data center certificate to bag $11M SEC deal

CIO Business Intelligence

According to the indictment, Jain’s firm provided fraudulent certification documents during contract negotiations in 2011, claiming that their Beltsville, Maryland, data center met Tier 4 standards, which require 99.995% uptime and advanced resilience features.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

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SAP and IBM under scanner of Indian investigative agency for Air India deal

CIO Business Intelligence

India’s premier investigating agency, the Central Bureau of Investigation (CBI), has filed a charge sheet against former Air India Chief Managing Director, SAP India, and IBM India for alleged irregularities in acquiring an ERP solution by Air India in 2011. Enterprise Applications, IBM, SAP

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Resilient Narrative Financial Reporting and Remote Collaboration

Jet Global

How do you ensure data consistency across finance, sustainability, and investor relations for your reporting cycle? With huge investment in ERP systems for data consistency, teams still struggle with inconsistencies and errors caused by a manual reporting process based on copy and paste in Excel and Word. Your Speakers.

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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. What Is Model Risk?