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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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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Despite these limitations and concerns among CIOs over AI costs, real progress has been made this year and we can expect to see this grow further in 2025.

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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. hours per week by integrating generative AI into their workflows, these benefits are not felt equally across the workforce.

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5 tips for better business value from gen AI

CIO Business Intelligence

Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. Gen AI holds the potential to facilitate that.

Sales 143
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.

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How will AI agents be priced? CIOs need to pay attention

CIO Business Intelligence

It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work. A third way that AI agents could be priced is by calculating the underlying costs and charging a small markup, he says. Potentially good for customers, but maybe not for shareholder returns.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

The study found better oversight of business workflows to be the top perceived benefit of it. And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization.

IT 139