Remove 2011 Remove Cost-Benefit Remove Risk
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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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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.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

No matter if you need to develop a comprehensive online data analysis process or reduce costs of operations, agile BI development will certainly be high on your list of options to get the most out of your projects. The term “agile” was originally conceived in 2011 as a software development methodology. Accept change.

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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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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.

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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?