Remove 2025 Remove Data Quality Remove Risk
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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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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

Like many other branches of technology, security is a pressing concern in the world of cloud-based computing, as you are unable to see the exact location where your data is stored or being processed. This increases the risks that can arise during the implementation or management process. Cost management and containment.

Risk 237
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6 keys to genAI success in 2025

CIO Business Intelligence

In 2025, thats going to change. Here are five keys to addressing these issues for AI success in 2025. To evaluate feasibility, ask: Do we have internal data and skills to support this? What are the associated risks and costs, including operational, reputational, and competitive? Prioritize data quality and security.

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IT leaders know they need to manage IT risk—but need help in execution

CIO Business Intelligence

Organizations big and small, across every industry, need to manage IT risk. trillion annually by 2025. based IT directors and vice presidents in companies with more than 1,000 employees to determine what keeps them up at night—and it comes as no surprise that one of their biggest nightmares is managing IT risk.

Risk 98
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Arab Health 2025: Discover AI, telemedicine, and robotics transforming healthcare

CIO Business Intelligence

Arab Health, one of the largest healthcare exhibitions in the Middle East, will return to Dubai in 2025, providing a dynamic platform for healthcare professionals, innovators, and technology leaders to explore the latest advancements in the healthcare industry. Thats why data quality is crucial. Its all about human lives.

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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

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AI & the enterprise: protect your data, protect your enterprise value

CIO Business Intelligence

Data is the engine that powers the corporate decisions we make; from the personalized customer experiences we create to the internal processes we activate and the AI-powered breakthroughs we innovate. Reliance on this invaluable currency brings substantial risks that could severely impact an enterprise.