Building an AI-ready data culture: CIO.com article

This CIO Online article by Pat Brans concisely summarizes the key ingredients to unlock AI's full potential (all are also key to CBRE's AI strategic pillars). It starts with a focus on data. 1. Treat data as a product 2. Build trust through observability  3. Bake in governance  4. Make data literacy universal  5. Unify structured + unstructured data to deliver richer insights 🔗 cio.com/article/4049233 #AI #DataCulture #DigitalTransformation

For enterprises seeking to unlock the value of gen AI, it’s not enough to have data or even a model. What matters is how data is created, managed, shared, and trusted. (Story by Pat Brans) With thanks to Mike K., Dinesh Nirmal, Andrew Crisp, and Magan Naidoo for sharing your insights. https://lnkd.in/eQqK-y3Q

AI can't deliver accurate results without the right foundation ➡️ a strong data culture. CIO Online highlights 5 actions you can take to create the trust and accessibility #AI needs to thrive—from treating #data as a true product to making governance and literacy part of everyday work. https://ow.ly/ltuX50WXOxc

With 61% of organizations rethinking their data and analytics strategy due to artificial intelligence (AI), CDOs are asking, “Should data governance be two separate teams for data and AI, or should it be one team that evolves?” The answer was unanimous – everyone said it should be one team. But what does that look like in reality? In this white paper, you’ll learn about a strategic framework that will evolve your data governance team to support AI. https://lnkd.in/gZuMM_2v

AI Cannot Solve Supply Chain's Big Data Problems—Foundation Must Come First: Table of Contents · The Five Pillars of Big Data That Challenge AI Implementation · Velocity and Veracity: When Speed Meets Accuracy Demands · The ... #bigdata #cdo #cto

AI may grab headlines, but without a strong data culture, even the best models fall short. Leaders from DHL, IBM, Dun & Bradstreet, and the UN World Food Program agree: success comes from treating data as a product, building trust through observability, embedding governance, and raising data literacy across the enterprise. These actions turn data into a strategic asset, and make AI adoption sustainable. For CIOs, the real question isn’t “Do we have enough data?” but “Is our culture ready for AI?” #CIO #AI #Data #Leadership

🚀 Data Leaders Digest | Issue #9 is Live ! This edition dives into some of the most critical shifts shaping the future of Data + AI as we head toward 2026: 🔟 10 Data + AI Trends to Watch in Fall 2025 — from conversational BI to the rise of context engineering. 🤖 How AI is reshaping developer teams — practical insights for engineering leaders. 🏢 Building Sustainable Enterprise AI Adoption — cultural strategies that drove 95% developer engagement. 🌐 When semantically connected data matters most — why standardized knowledge graphs are key. ⚙️ The Model Context Protocol (MCP) — a beginner’s guide to plug-and-play AI agents. 📊 Enterprise Data Governance Strategy — the essential elements in the GenAI era. One theme stands out: 👉 Winning with AI = Reliable Data + Scalable Systems + Strong Culture. 🔗 Dive into the full digest here: https://lnkd.in/gY8KNHu3 #DataLeadersDigest #AI #DataGovernance #EnterpriseAI #FutureOfWork

I love how this article explains the relationship between data governance and AI governance. Since AI learns from your data, it's important to ensure that you have high quality data so that AI doesn't learn the "wrong" things. #accelerateinnovation https://lnkd.in/gkKy3B3Y

You can’t scale AI unless you scale trust in the data behind it. As CIO highlights, developing a strong AI-ready data culture isn’t just about technology—it’s about mindset, ownership, and rigor. Here are five key practices organisations can adopt: Treat data as a product, not a byproduct — giving datasets clear ownership, defined lifecycles, and usability across teams.  Embed observability and traceability — know where data comes from, how it’s transformed, and how it’s used.  Bake governance into the foundation — policies around access, retention, classification, quality, etc., enforced not as an afterthought.  Make data literacy everyone’s job — across roles and levels, ensure people understand quality expectations, analytics basics, and how data impacts outcomes.  Integrate structured and unstructured data — bring together traditional systems data and the messy, rich sources like documents, images or emails so AI gets a fuller picture. #AIReady #DataCulture #DataGovernance #TrustInData #EnterpriseAI #DigitalTransformation https://lnkd.in/d6-kJn3G

🚀 Is Your Data AI-Ready? The unspoken truth about enterprise AI: success doesn’t start with algorithms it starts with data. Without robust data governance and preparation, even the most advanced AI systems fail to deliver real business value. From reducing bias and ensuring compliance to unlocking scalable automation, data readiness is the foundation of AI success. In our latest blog, we break down: ✅ Why data governance is the hidden driver of AI performance ✅ The 80/20 rule of AI projects (and how to fix it) ✅ The roadmap for medium and large businesses to get AI-ready 👉 Read the full article here: https://lnkd.in/d_6KhgQG At Punctuations, we help enterprises implement governance, pipelines, and infrastructure so AI delivers measurable impact. Ready to make your data AI-ready? Let’s talk at Punctuations #EnterpriseAI #DataGovernance #AIReadiness #BusinessGrowth