Atlan

📊We surveyed 561 data leaders on the state of enterprise Data and AI projects. Here's what we found out: 👇 📊 79% have deployed AI projects, but only 17% see business value. That's a 62-point execution gap we call the AI Value Chasm. 🚨 97% of organizations have context gaps. Not model problems. Not talent problems. Context problems. 🔒 52% blame security concerns for slow AI progress. But those scaling AI worry LESS about security because they fixed the real issue: context. 👥 84% of AI initiatives bypass data teams, then wonder why they can't solve context problems that data teams specialize in. AI doesn't have a technology problem. It has a context problem. As we head into 2026, it's clear that the organizations that solve for context – not models, not governance, not security – are the ones pulling ahead. Get all the findings here: https://lnkd.in/gwtDKymu #EnterpriseAI #DataLeadership #AIStrategy #DataGovernance

⚡️ Join us for the Atlan in Action Full Platform Demo to see how Atlan brings that layer to life—turning scattered context into a unified foundation both humans and AI can trust. 🗓 Wed, Jan 14 | 1:00 PM ET In this session, Christopher Perro, Solutions Sales Engineer at Atlan, will show how teams: 🔗 Unify context across databases, warehouses, BI tools, and collaboration platforms with automated lineage 🤝 Collaborate on certifications, quality signals, and ownership in one place 🚀 Activate context where work happens—Slack, Jira, dashboards—so teams get answers without switching tools 🎥 Live platform demo + Q&A See how governance becomes invisible when context flows everywhere Join live 👉  https://lnkd.in/gR6DjXnR

🔎 Prediction for 2026: AI analysts will make the self-service analytics dream a reality. For a decade, self-service has been "almost here." It never failed because of tooling. It failed because business and data never spoke the same language. Now, with LLMs, it’s possible to teach data the language of business. We’ve seen it work. In Atlan's AI Labs working with real customer applications, we saw AI Analyst accuracy jump 5x when they had the right business and semantic context. Our take: While AI Analysts may not replace traditional BI entirely, we might be closer to true self-service analytics than ever before. This is just one of 7 predictions in our 2026 report. The others cover what's coming for data teams, AI stacks, and the role of governance in an AI-native world. 📘 Grab the full report 👇 https://lnkd.in/gvh4afvr

📘New addition to your Christmas reading list: AI Broke the Data Stack - Predictions for 2026. As we head into 2026, one thing is clear: AI is fundamentally reshaping the data stack. And the data teams keeping up with this shift are already transforming themselves. In this report, we outline 7 shifts unfolding across analytics, data teams, and AI stacks, based on insights from 550+ data leaders and real enterprise deployments. We explore questions like: ➡️ What replaces the modern data stack as data & AI become one singular layer of technology? ➡️ Will structured data still matter when AI can analyze every conversation, document, and interaction? ➡️ When AI builds pipelines and writes SQL, what happens to data teams? ➡️ If AI decisions depend on context, where should that context live? ➡️ What new skills and roles matter most in a nondeterministic, AI-driven world? If you’re setting strategy for 2026, this report answers the questions that matter most. 📘 Download the full report: https://lnkd.in/gJ_MGsev

🚨 FIRST SPEAKERS CONFIRMED FOR THE GREAT DATA DEBATE 🚨 👑The GOAT of BI: Cindi Howson, Chief Data & AI Strategy Officer, ThoughtSpot She wrote the BI Magic Quadrant at Gartner—the defining report on how enterprises evaluate platforms for over a decade. She's seen every wave of "BI is dead" and knows which predictions were wrong, which changed everything, and what's actually different this time. 🚀The Future of BI: Barry McCardel, Co-founder & CEO, Hex He represents the next generation of BI builders—rethinking analytics from the ground up for a world where AI is the default, not the add-on. Collaborative, AI-native, agentic workflows that move beyond static dashboards. Two wildly different perspectives on where analytics goes next. They’re debating: Will AI Analysts kill 70% of dashboards or just become expensive chatbots? Feb 5, 11:00 AM ET. Join the conversation.👇 https://lnkd.in/gxEbSS3s

AI broke the data stack. On Feb 5, the leaders who saw this coming are debating what happens next. Two sessions. Two questions that will define the future of the data infrastructure. 🔥 Will AI Analysts Kill 70% of Dashboards? Every platform is launching an “AI Analyst.” Executives want conversational analytics. But enterprises are asking: Is this real—or just another chatbot hype cycle? 🔥 Was Palantir Right About Systems of Context? Semantic layers promised shared meaning for years and never fully delivered. Meanwhile, Palantir built ontologies and context graphs. Now AI initiatives are failing because models don’t understand context. Which foundation delivers? This isn't a panel where everyone agrees. It’s founders and CEOs with wildly different predictions fighting it out live. Save your spot for the #GreatDataDebate2026. 👇 https://lnkd.in/g7UtgUbi

AI broke the data stack in 2025. And now, everyone has questions that aren't being answered. Are semantic layers actually back? Will AI analysts be the death of dashboards? What happens to actual analysts? And what even is context engineering? On Feb 5, we’re hosting the Great Data Debate, where founders, thought leaders, and builders who are navigating this chaos firsthand confront the biggest questions facing data & AI today: 🔥 Will AI Analysts Kill 70% of Dashboards in 2026? This debate exposes the messy reality: what works today, what breaks instantly, and what CDOs should prepare for as analytics shifts from dashboards to autonomous intelligence. 🔥 Was Palantir Right About Systems of Context? For 15 years, semantic layers never fully delivered. Meanwhile, Palantir built ontologies and context graphs. Now every AI initiative is failing for the same reason: models don't have context. Which brings us to the big question: Was Palantir right? Welcome to the most sophisticated face-off on the future of data & AI. Register 👇 https://lnkd.in/g9JwEx_f #TheGreatDataDebate2026

Virgin Media O2 vision for enterprise-wide data democratization spans every aspect of the business, from data infrastructure to talent strategy. Atlan is proud to be on this journey with Mauro Flores and his team, giving users the data they need to innovate faster, make smarter decisions, and deliver best-in-class user and customer experiences. Read about the work the VMO2 team is doing in the latest issue of Interface Magazine👇  

If metadata management isn't in your 2026 roadmap, your AI initiatives are already at risk. Gartner just brought back the Metadata Management Magic Quadrant after five years. That's not a routine refresh—AI fundamentally changed the equation. Three questions every data leader should be asking now: → Do we know what data we have, where it lives, and who owns it?  → Can our AI access lineage, semantics, and governance rules in real time? → Are we treating metadata as infrastructure? Or still as documentation? Gartner’s research found that 51% of organizations have already implemented metadata management, and 45% say it's a top priority for the next 2-3 years. The teams getting AI to production aren't waiting. They're building the context layer now. Full breakdown of the report 👇 https://lnkd.in/gBFUFxxT #MetadataManagement #AIReadiness #DataGovernance