I’m Koichi. I recently joined the Data Innovators Exchange and wanted to say hello! I work with [mention your field, e.g., data analytics / engineering / database management], and I’m currently focusing on [mention a tool or goal, e.g., mastering SQL / building real-time dashboards]. Looking forward to connecting, learning from you all, and sharing some of my own insights as I go. What projects is everyone currently working on?

https://handsondataeng.com/blog/claude-models-explained

Most enterprise AI projects don't fail at the model. They fail at the foundation. The pattern is familiar: a promising proof of concept, then the initiative stalls. The cause usually isn't the AI. It's a data foundation without stable entity identity, complete history, or auditable lineage, the conditions that turn confident-sounding output into output you can actually trust. We're joining Scalefree International for a live panel on how to fix the architecture underneath. Data Vault: The Foundation for Trusted AI 📅 Tuesday, 30 June 2026 ⏰ 09:00 CEST On the panel: 🎙️ Julien Redmond, CEO of Ignition and IRiS 🎙️ Alexander Lai, IRiS Product Lead 🎙️ Ole Bause, Senior Consultant, Scalefree We'll get into why the data foundation, not the model, is the real bottleneck for enterprise-grade AI, and how the right architecture delivers the semantic meaning, history, and lineage that reliable AI depends on. Register via the link here: https://us02web.zoom.us/webinar/register/WN_u1dUBz0xSUKSGbF_cftHoA#/registration

Here is what you can get done in under 15 minutes if the silver layer of your Lakehouse is automated.

AI Agent runtimes could be considered a foundational compenent of the most modern infrastructure stacks - and maybe it's time you considered them if you're not already! That's what we cover in this week's Podcast - available now on all Podcast platforms and YouTube.