From this article. A major announcement just dropped this week, BigID and Atlan are joining forces to create the first catalog unifying structured and unstructured data. The goal is crystal clear, providing a single governance and security foundation that is actually ready for AI. Until now, many companies were flying blind. Business lines are pushing hard to deploy innovative AI workflows, but governance teams lack visibility into the mountains of unstructured, and often sensitive, data feeding these models. By integrating risk signals directly into the catalog, business context is finally linked to security in real time. The Verdict: If your data catalog does not speak the language of both the CDO (Governance) and the CISO (Security) simultaneously, your AI agents will remain prototypes blocked by risk. Managing structured data in a silo is no longer enough. Generative AI feeds on unstructured chaos, and that is exactly where the battle for scale is won. Let’s Discuss: 1. The Blind Spot: Do you have a clear map of the unstructured data feeding your AI initiatives today, or are you just crossing your fingers that nothing sensitive leaks? 2. The CDO and CISO Duo: In your organization, do data governance and cybersecurity share the same operational view, or are they still fighting through support tickets?

Hi folks, I'm Angelina, a founder at sci2sci. I have been concerned with massive amounts of data that remain unused in life sciences organizations because of poor data management practices since my PhD. A few years ago I founded a company and we developed VectorCat - software for automating data governance at scale. We've already governed 100M+ data objects in top biotech and pharma companies, turning them into AI-ready data in a fully compliant way. Happy to connect with data governance professionals: https://www.linkedin.com/in/angelina-lesnikova/. More info about what we do at sci2sci: https://www.sci2sci.com/

Hi everyone! I’m Léa, a recent engineering graduate with a dual expertise in Data Science and Engineering Management. I’m passionate about the power of data — not just for its technical potential, but for how it can drive smarter business decisions and even fuel creativity in industries like media, arts, and entertainment. I thrive on continuous learning and believe there’s always room to grow, whether it’s diving into new tools, exploring innovative use cases, or connecting with like-minded professionals. This community seems like the perfect place to do just that! I’m excited to learn from all of you, share insights, and contribute however I can. Looking forward to the conversations ahead!

Wondering if anyone has aligned the two governance approaches in terms of approach and policies etc

Here it is : https://www.dataaaaa.com/ He is the description of the service as described by it's creator : One place for the best in data engineering: articles, projects, release notes, podcasts and events. - It's free and ad-free, and it will stay that way. - We curate so you can read. - Every link goes to the original source. - We point the way; we don't host. - Traffic, attribution and credit go to publishers