Remove 2025 Remove Data Governance Remove Technology
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Modern Data Governance: Trends for 2025

Precisely

Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.

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Must-Know Data Integrity Trends for 2025

Precisely

New year, new data-driven opportunities to unlock. In 2025, its more important than ever to make data-driven decisions, cut costs, and improve efficiency especially in the face of major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.

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How To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead.

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6 Ways To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead.

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Why Real-Time Data Will Define 2025

Striim

AI adoption is accelerating, but most enterprises are still stuck with outdated data management. The organizations that win in 2025 wont be the ones with the biggest AI modelstheyll be the ones with real-time, AI-ready data infrastructures that enable continuous learning, adaptive decision-making, and assist regulatory compliance at scale.