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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But this kind of virtuous rising tide rent, which benefits everyone, doesn’t last. Back in 1971, in a talk called “ Designing Organizations for an Information-rich World ,” political scientist Herbert Simon noted that the cost of information is not just money spent to acquire it but the time it takes to consume it. “In

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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.

Risk 64
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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. In 2011, another update — dubbed ITIL 2011 — was published under the Cabinet Office.

IT 101
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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?

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52
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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business. They detailed a number of the benefits of using data to improve customer satisfaction. This helps companies reduce the cost of missed appointments and the branding problems they create.

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AI Technology Helps App Marketplaces Compete with App Store

Smart Data Collective

However, we haven’t discussed the benefits of using AI to distribute apps through app marketplaces in as much detail. In order to appreciate the benefits of using AI to create a new app marketplace, it is important to first address the challenges. Some of them are listed below: Mitigate app security risks. Amazon Appstore.