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

CIO Business Intelligence

Shadow IT thrives on weak governance The struggle many organisations face is reflected in the relatively slow uptake of meaningful AI projects in Australia, which sometimes is at odds with the wants of their workforces. There is, however, another barrier standing in the way of their ambitions: data readiness.

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

CIO Business Intelligence

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. AI applications rely heavily on secure data, models, and infrastructure.

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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The Gamification of Data Governance

TDAN

Getting the business engaged with data governance can sometimes be a challenge. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to Data Governance. The […].

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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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Is your data strategy ready for gen AI? LOB leaders may disagree

CIO Business Intelligence

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. But the enthusiasm must be tempered by the need to put data management and data governance in place.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts.