I am here to grow together. Here are the details on how we grow through collaboration.

Ever moved house and had the movers just tip every box in, unlabelled? You've technically moved. But the saucepan's in the garage, the pasta sauce is in a bedroom box, and dinner isn't happening tonight. That's what lift and shift does to a data platform migration. Fast, cheap upfront, and you're still digging through boxes six months later when you try to build anything on top of it, like AI. There's another way to make the same move: unpack and sort as you go, so what lands is actually usable from day one. The catch used to be time. Unpacking properly, by hand, takes months nobody has. That's the part we automate. Read how "move and improve" works 👇 https://ignition-data.com/blog/how-launchpad-helps-you-move-and-improve

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