Hey y'all, I'm a data governance advocate and practitioner, a bit of a data quality nerd, and have been working in healthcare for many years. Glad to be here because nobody knows everything about data governance and it is different at each and every company, so we all have things to share to make our data governance community stronger. I welcome all connections on LinkedIn (https://www.linkedin.com/in/billwoodmba/) and can talk data governance all day. I'm avidly learning about AI governance and how it differs from data governance. Pleased to meet you all!

Hey folks, for those on the technical side struggling with using LLMs - we've just open-sourced the solution we have been using internally to detect hallucinations (we work with highly regulated industries and can't afford having mistakes in data). You can find a short description & the link here: https://www.linkedin.com/posts/angelina-lesnikova_parseltongue-activity-7439674705277526017-86wL Just heard at the Paperless Lab Academy that AWS is developing a similar neurosymbolic architecture to launch it for their top-tier customers in the upcoming months - you can fork it from our GitHub repository and start using right now ;) Enjoy and please send me your feedback.

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/