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CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

CIO Business Intelligence

Protecting sensitive data and ensuring the integrity of AI models against cyber threats, such as adversarial attacks, are key concerns for CIOs,” he said. Additionally, traditional security measures often fall short of addressing the unique demands of AI technologies.

ROI 136
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How to get your CFO to buy into a better model for IT funding

CIO Business Intelligence

And they want to know exactly how much return on investment (ROI) can be expected when IT leaders make technology-related changes. Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. CFOs want certainty when it comes to spend.

Modeling 124
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Data Maturity Models | Measure The Health Of Your Data

Anmut

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models? It’s like driving a car.

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What’s Your Data Governance ROI? Here’s What to Track

Alation

The role of monitoring, measuring, and metrics So, you’ve got the first step done; you’ve implemented data governance and everyone in your organization is on board. But, only 50% of leaders surveyed said that they measure their data governance systems at all. Success can evolve over time – and with it what you measure.

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The steep cost of a poor data management strategy

CIO Business Intelligence

Without it, businesses incur steep costs, but the downside, or costs, are often unclear because calculating data management’s return on investment (ROI), or upside, is a murky exercise. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 116
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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

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. Industry-wide, the positive ROI on quality data is well understood.

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5 ways to maximize your cloud investment

CIO Business Intelligence

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Plus, you need to balance the FinOps team’s need for autonomy against the CIO’s need for centralized control to gain economies of scale and avoid runaway costs. Then there’s housekeeping.