Data Management Summit: Key Takeaways on AI, Governance, and Metadata

🚀 Embedding Data Governance into the Heart of Data Delivery One of the most powerful shifts we’ve made in our journey to build a modern data platform is baking in data governance directly into the delivery process—not as an afterthought, but as a foundational principle. This isn’t just about compliance or control. It’s about setting the standard for what good looks like in enterprise data practices. By engaging the business to own their own data, we’ve created a virtuous circle where data stewards feel empowered to identify opportunities for improvement, drive incremental change, and elevate data quality every single day. The result? A platform that doesn’t just deliver data—it delivers trustworthy, business-ready data that fuels the use cases that matter most, including AI. This is how we make data better, together. One improvement at a time. Every day. 💡 Shout out to our Data Governance Lead Nicole Cherian and our first Data Stewards Karthik Adla and Mylissa Garrick who have pioneered the way. #DataGovernance #ModernDataPlatform #AI #DataStewardship #BusinessValue #DataLeadership #IncrementalImprovement

AI productivity gains are worthless without strong data foundations. In our new report, we share: - 10 practical steps for spatial data governance - a maturity model to benchmark progress - best practices for future-proofing AI workflows If AI is on your roadmap, governance has to be too. 🚀 Get the brand new report from CARTO and Snowflake here: https://lnkd.in/duTcYCy9

I’ve been really excited to contribute to the latest report from CARTO and Snowflake on the future of spatial data governance. In it, I explore why interoperability is foundational to trustworthy AI. AI may be getting faster at solving problems, but the real differentiator remains our ability to find the right ones. Spatial data, when made interoperable, doesn’t just answer questions, it helps uncover new questions. No AI strategy exists without a data strategy and at its core, that strategy begins with making our data work together. Read the full report here https://lnkd.in/eDJ_Xvkz

📊 New Report Drop! "2025 Market Study: Modern Data Architecture in the AI Era" is here — and it’s packed with insights you don’t want to miss. Based on a global survey of 259 data professionals, this 52-page report explores how organizations are reshaping their #dataarchitecture to keep pace with the rise of #GenAI and #LLMs 🚀 🔍 Inside you’ll discover: ✅ Where #AI investments are heading ✅ Top challenges in LLM accuracy & hallucination risk ✅ Why #AIReadyData beats storage-centric strategies ✅ How to integrate siloed data for real business value ✅ A blueprint for modern, scalable, cost-efficient architectures 📥 Download the full report: https://okt.to/KeV8nB Denodo #DataManagement #NoAIWithoutData #NoDataLeftBehind #DataForALL

📊 New Report Drop! "2025 Market Study: Modern Data Architecture in the AI Era" is here — and it’s packed with insights you don’t want to miss. Based on a global survey of 259 data professionals, this 52-page report explores how organizations are reshaping their #dataarchitecture to keep pace with the rise of #GenAI and #LLMs 🚀 🔍 Inside you’ll discover: ✅ Where #AI investments are heading ✅ Top challenges in LLM accuracy & hallucination risk ✅ Why #AIReadyData beats storage-centric strategies ✅ How to integrate siloed data for real business value ✅ A blueprint for modern, scalable, cost-efficient architectures 📥 Download the full report: https://okt.to/NL7UF4 Denodo #DataManagement #NoAIWithoutData #NoDataLeftBehind #DataForALL

Joe Gits, CEO, Context Analytics, Inc. (CA) will give a keynote at Data Management Summit New York to discuss 'From risk to opportunity – minimizing hallucinations in financial data'. Find out: ❓How can data managers redefine data quality for the AI era to prevent hallucinations? ❓How can firms architect for factual integrity by building a Retrieval-Augmented Generation (RAG) architecture that grounds AI outputs in verified structured and unstructured data, ensuring every answer is traceable? ❓What is the playbook for prompt engineering, and how can data managers use it to craft precise queries that guide models toward factual answers and away from fabrication? Register: https://lnkd.in/etzPVkKv #DMSNYC #datamanagement #hallucinations #financialdata #AI #RAG #retrievalaugmentedarchitecture #unstructreddata #feedbackloop

Nearly 90% of data professionals say scaling and complexity are slowing down AI adoption, yet many executives still believe their organizations are ahead of the curve. The Actian State of Data Governance Maturity 2025 Report shows just how wide the gap is between how executives and data pros perceive their organization's data maturity, and why governance is the key to closing it.

🚀 Day-23: Covering the Most Wanted Topic – Data Lake & Delta Lake In today’s data-driven world, organizations generate massive amounts of structured, semi-structured, and unstructured data. The big question is: > Where do we store it efficiently? > How do we ensure it’s reliable for analytics, AI & ML? That’s where Data Lakes and Delta Lakes come into the picture. 🔹 Data Lake A central repository that allows you to store all your raw data at any scale. It’s cost-effective, flexible, and great for storing massive datasets. But challenges like data quality, governance, and ACID transactions often arise. 🔹 Delta Lake An open-source storage layer that brings reliability to Data Lakes. Built on top of data lakes, it ensures: ✅ ACID transactions ✅ Scalable metadata handling ✅ Time travel (versioning) ✅ Schema enforcement & evolution In short, Delta Lake = Data Lake + Reliability >Data is the new oil, but only if refined. Delta Lake ensures it’s clean, consistent, and ready for use.” #DataEngineering #DataLake #DeltaLake #BigData

INearly 90% of data professionals say scaling and complexity are slowing down AI adoption — yet many executives still believe their organizations are ahead of the curve. The CIO Dive article on Actian’s latest report highlights why stronger data governance can’t wait.

What separates industry leaders from laggards today? It's not who has more data. It’s who can mobilize trusted, unified data into action faster than anyone else. In a sponsored article for Harvard Business Review, Reltio CEO and Founder Manish Sood and Boston University’s Venkat Venkatraman lay out a bold vision for data in the Age of Intelligence: The companies that win won’t be the ones that simply collect the most data. They’ll be the ones that design it—into a living, interconnected intelligence layer. This is the new data mandate: ✅ Power human–AI collaboration through unified, trusted data ✅ Orchestrate real-time insights across entire ecosystems ✅ Embed trust and autonomy into every decision layer At Reltio, we’ve spent over a decade helping enterprises move from data at rest to data in action—fueling autonomous systems, human decisioning, and next-gen customer experiences. 📖 Read the article → https://lnkd.in/g4eM3V94 This isn’t just a new era. It’s time for new rules of data. #AI #DataStrategy #AgenticAI #DataTransformation #HBR #Reltio