As investment in Enterprise AI skyrockets, I believe our focus must shift to the fundamental dependency: the data architecture. If your platform isn't ready, your AI initiatives will inevitably be bottlenecked by "architectural debt". It's a non-negotiable reality of scaling. I’m looking forward to leading a professional session where we tackle this challenge head-on. This isn't just theory, I'll be walking you through my guidelines for identifying core risks and providing the roadmap to evolve your system. My goal is simple: to help you transform your data infrastructure into a reliable, agent-ready asset that truly supports next-generation agentic workflows. I hope you'll join me to secure the foundation of your AI future. 🔗 Secure Your Spot: https://scalefr.ee/280v9v #AIStrategy #DataPlatform #DataEngineering #Webinar #FutureofAI #Scale

It started with a white paper and ended up as a short introduction and how-to guide to a complex warehousing system - so how did @Hernan Revale do it?

Thanks to @Dan Linstedt for this great overview video. This was the inspiration for this new page on perplexity.ai that provides a deep dive into Data Vault. Check it out here https://www.perplexity.ai/page/the-power-of-data-vault-d4CxnNfmRRmAJOwfGxm1Fw Love to hear your comments on how well or otherwise LLM's are able to collate and interpret presentations like this one. FY this used the new Llama 405 billion parameter model to do its thing. Thanks to Wherescape for sponsoring this post. @Melissa Zuro