Remove Analytics Remove Data Governance 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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Secrets to Data Strategy Success from Data Champions Online Europe

Corinium

Three key themes emerged as 17 of Europe’s top data leaders shared the secrets of their success with more than 250 attendees at this insight-packed five-day event.

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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. When you’re connected, you can query, visualize, and share datagoverned by Amazon DataZone—within Tableau.

Analytics 118
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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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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

For some, it might be implementing a custom chatbot, or personalized recommendations built on advanced analytics and pushed out through a mobile app to customers. Above all, robust governance is essential. As AI usage spreads, data frequently moves between different infrastructures, making it harder to keep track of and protect.

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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. But heres the question I keep asking myself: do we really need this immense power for most of our analytics?

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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