Remove Data Governance Remove Data Quality Remove Data Strategy
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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

There is, however, another barrier standing in the way of their ambitions: data readiness. Strong data strategies de-risk AI adoption, removing barriers to performance. AI thrives on clean, contextualised, and accessible data.

Risk 111
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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Data security, data quality, and data governance still raise warning bells Data security remains a top concern.

Marketing 128
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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5 tips for better business value from gen AI

CIO Business Intelligence

Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard. Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact.

Sales 143
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

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How to Convince Stakeholders That Data Governance is Necessary

TDAN

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

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Expanding Role of Data Governance, Metadata Management, and Data Quality

TDAN

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.