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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.

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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO Business Intelligence

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. Brian Hopkins, vice president for emerging technology at Forrester Research, agrees. The CIO has strategies in place to address all three. The opportunity is too big.

Risk 133
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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

But most of these tools fall far short of organization’s goals for the technology. Similarly, 91% of respondents wanted their chatbots to automate actions based on customer responses, but only 52% said their current technology had that capability. . These benefits make the technology extremely attractive to financial services firms.

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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

More cities than ever before are investing in smart city technology and changing how cities operate. It gives the city more information and data to help drive decision making leading to tremendous benefits that positively influence the lives of everyone who lives, works, and visits, such as: . Doral is already preparing a Smart City 2.0

IoT 145
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The risks and limitations of AI in insurance

IBM Big Data Hub

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.