Nextdata

There's a number that tends to stop AI conversations cold, and it came up in our recent webinar with Zhamak Dehghani. - Building an AI application takes a few hours.  - Getting enterprise data ready to feed it takes an average of 18 months and $1.5 million, per data asset. That gap isn't a process inefficiency that better tooling will fix. It's a structural mismatch between how enterprise data management was built and how quickly the rest of the AI stack has evolved. The pipeline of ingest, model, store, annotate, govern, and provision was designed for a world where a quarterly report was the end destination. Agents are a different kind of consumer entirely and the infrastructure hasn't caught up. Nextdata was built specifically to close that gap. Learn more: https://lnkd.in/dNcHn5-w

18 months and $1.5 million per data asset. That’s the average cost of making enterprise data AI-ready at a Fortune 500, before a single agent uses it. Our latest newsletter breaks down exactly why that number is so high, what needs to change structurally to bring it down, and what AI-ready data actually looks like when it’s done right. It covers the five characteristics that separate a real AI-ready data product from data with a description attached, the three moves that get you there fast, and the strategic options available to enterprises operating across mixed stacks and federated teams. Read the full article 👇

Live now on Zhamak's page: From Data to Chaos to Agent-Ready in A Day https://lnkd.in/gH99e9f7

Most data catalogs are full of tables nobody trusts. Most AI agents can't find what they need. Most CDO roadmaps were out of date the day they were written. Zhamak Dehghani calls this the missing operating layer of the AI-ready data mesh, and TODAY, she will be showing what it looks like when it's actually in place. 🚀 A live, working mesh. Domains assigned. Semantic models in place. Data unlocked for safe AI access. If you're responsible for making your organization's data AI-ready, this session is built for you. Don't miss it. ⏰ The webinar starts in 1 HOUR, and registration is still open 👉 https://luma.com/jutgs6wd

We're just 1 DAY away from the webinar "From Data Chaos to AI-Ready Data Mesh — In a Day". 🚀 Zhamak Dehghani and Sina Jahan will explain why most AI initiatives stall and why fixing it doesn't require ripping out your stack, or creating a new silo. You can still register and watch the live demo 👉 https://luma.com/jutgs6wd

2 minutes. The clearest case for why your data strategy isn't ready for AI and what to do about it. Zhamak Dehghani created data mesh. She also just named the gap it left. No replatforming. No five-year roadmap. No shuffling and reshuffling your stack.Just AI-ready data products, activated from what you already have. This is what Data 3.0 actually looks like in practice and on May 21 we are showing it live. 🚀 👉 Webinar registration: https://luma.com/jutgs6wd

The reason most AI initiatives stall isn't the model, it's the data. And fixing it doesn't require ripping out your stack, or creating a new silo. "Activate AI-ready data products directly from the systems you already have. No replatforming. No data reshuffling." Zhamak Dehghani & Sina Jahan are showing exactly how on May 21. Live. Free. No new tech debt. 👉 Register here https://luma.com/jutgs6wd

Zhamak Dehghani gave the industry data mesh, but it left a gap that hasn't been filled: "I gave the industry data mesh and data products as a new foundation. But what I didn't give you is an activation layer to make it real for the AI era." That activation layer is what this session is about. If you're a CDO running a modern data strategy that still isn't ready for AI,  this is the conversation you've been waiting for. 📅 May 21, Virtual Register for the webinar here 👉 https://luma.com/jutgs6wd

Your board wants AI outcomes. Your data stack was built for a different era. No amount of urgency changes that overnight. Zhamak Dehghani created data mesh, the operating model your data and AI strategy runs on. On May 21, she's showing CDOs what comes next. 👉 Register for free here: https://luma.com/jutgs6wd

Most CDOs have a roadmap that doesn’t work. A consultant’s inventory of databases. Undefined domains. A five-year plan that was outdated the day it was written. Three years later: a catalog full of tables nobody trusts, pipelines nobody maintains, and agents too confused to use any of it safely. The problem isn’t your data, it’s the missing abstraction layer. Join Zhamak Dehghani and Sina Jahan to learn how organizations can go from scattered assets across warehouses, lakehouses, SaaS tools, and documents to a live, agent-ready data mesh in a single session. This is the shift from Data 2.0 to Data 3.0: from storage-centric, pipeline-driven stacks built for dashboards, to autonomous data products that are semantic-first, self-governing, and built for AI. Come see it live. 📅 May 21, 2026 ⏰ 12 PM PT, Online Save your spot 👉 https://luma.com/jutgs6wd