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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. A cloud-first approach provides benefits to all organizations, whether their employees are spread disparately or working in one location,” Iyengar says.

Strategy 138
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CIOs rethink all-in cloud strategies

CIO Business Intelligence

The resulting infrastructure of choice — a combination of on-premises and hybrid-cloud platforms — will aim to reduce cost overruns, contain cloud chaos, and ensure adequate funding for generative AI projects. Such decisions are largely driven by the need to maximize performance and business benefits while not losing track of costs.”

Strategy 144
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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Microsoft stands to benefit from its investment in three ways. The deal, announced by OpenAI and Microsoft on Jan.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275
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Gaining an AI advantage: Not all AIs are created equal

CIO Business Intelligence

Quality and volume of data, scalability of solution, and ability to process inference effectively are key aspects to enable efficient AI solutions. The quality and volume of data that an AI system has access to greatly enhances its ability to detect and respond to potential threats while reducing false positives and false negatives.

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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Much of our digital agenda is around data. Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Before we were quite fragmented across different technologies.