Remove 2025 Remove Data Governance Remove Data Quality
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Based on those and other criteria, here are three digital transformation practices CIOs might want to increase their focus on in 2025, and three worth replacing with other strategies or practices. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 111
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7 types of tech debt that could cripple your business

CIO Business Intelligence

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140
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Advance top 2025 data initiatives with analyst firm-recognized erwin by Quest

erwin

Companies are leaning into delivering on data intelligence and governance initiatives in 2025 according to our recent State of Data Intelligence research. Data intelligence software is continuously evolving to enable organizations to efficiently and effectively advance new data initiatives.

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What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

When Indiciums AI agents, for instance, try to access data, the company tracks the request back to its source, that is, the person who asked the question that set off the entire process.

IT 141
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The Benefits of Data Management Automation: 8 Tips to Automate Data Management

erwin

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

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AI Governance: Act now, thrive later

CIO Business Intelligence

Metrics should include system downtime and reliability, security incidents, incident response times, data quality issues and system performance. You can also measure user AI skills, adoption rates and even the maturity level of the governance model itself. Lets talk about a few of them: Lack of data governance.

Testing 93