Progress Data Platform

🟣 The Purple Sky Problem: When AI is confidently wrong, the issue is rarely just the model. More often, it is the missing governed context behind the answer. This edition explores why trusted AI starts with making AI less surprising. 🌸🤖 

How do you build GenAI systems that are accurate, explainable, and enterprise-ready? At The Knowledge Graph Conference 2026, Progress will walk through Semantic RAG in practice, showing how knowledge graphs + multi-model data improve grounding, retrieval, and outputs in GenAI applications. 🗓️ Tuesday, May 5, 2026 | 9:00–10:30 AM 📍 Cornell Tech, NYC 🎤 Andrew Wanczowski and Jim Morris Join us at #KGC2026 👉 https://lnkd.in/e2uak4M

If you’ve been following our Practical AI: Data to Decision LinkedIn monthly newsletter, you’ve probably heard us talk a lot about “Boring AI”. Hear directly from Philip Miller on why your AI needs to be boring to be truly ready for production and reliable. 📄 Read the whitepaper to learn more: https://prgress.co/42aGNBb Not subscribed to our LinkedIn monthly newsletter yet? 👉🏼 Sign up here: https://lnkd.in/gtBpyr6A

If you’ve ever seen three dashboards, three answers, one meeting — you know this feeling. That's where the real value of "single source of truth" kicks in. If you do not want to be buried in this feeling, then its time you consider for an upgrade... Progress Data Platform solution that helps you go from data chaos to trusted intelligence! Know more about it here - https://prgress.co/47W3FHN #ProgressDataPlatform

Same question different times in different scenarios must yield the exact same result. If you do not get, then you have a serious data problem. If you can’t replay it, it didn’t happen! Know more: https://prgress.co/47W3FHN #ProgressDataPlatform

As the financial industry gears up for the Smarter Faster Payments 2026 in San Diego, the Progress team is excited to showcase how the Progress Data Platform is helping financial services move faster without sacrificing trust. By unifying fragmented data, applying semantic context for explainable AI, and automating decisions at millisecond speed, Progress Data Platform brings order to the data you already have! Attending #SmarterFasterPayments? Stop by Booth #309 to see it in action! 👉🏼 https://prgress.co/4cA23Fs 📅 April 26–29, 2026 📍 San Diego Convention Center #ProgressDataPlatform #NACHA2026 #ExplainableAI

When things work, no one notices. When things break, everyone notices. Suddenly dashboards don’t match. Reports say different things. Teams start asking, “Wait… which number is correct?” That’s when you realize the real job of a data platform isn’t to be flashy. It’s to be dependable. Bring messy data together. Keep context intact. Make sure people are working from the same version of truth. Not exciting. Not glamorous. But absolutely essential. Kind of like good Wi‑Fi. You only appreciate it when it’s gone. And honestly? Boring‑but‑reliable over fancy‑but-fragile any day is worth it! #ProgressDataPlatform

Investing in AI but not seeing real results? You’re not alone and it’s probably a context problem. Join our upcoming webinar to uncover what’s holding AI ROI back and how leading organizations are overcoming it. 🎟️ Register here: https://prgress.co/4th1abI

“Progress helps us provide clarity and understanding to our customers without the burden of understanding localized nomenclature within Metro,” said Omar Camacho, Director of Systems Maintenance at Metro. Los Angeles County Metropolitan Transportation Authority also known as LACMTA (Los Angeles Metro) manages transportation for more than 10 million residents. Inconsistent terminology across departments made legal requests slower and public access to Board materials harder to navigate. Using Progress Data Platform capabilities, including Progress Semaphore ontology modeling, LACMTA standardized language, automated tagging and improved search so employees and the public can find information without needing insider knowledge. 📄 See how ontology modeling helped increase transparency around Board actions. → https://prgress.co/4bVVMVr #Transportation #DigitalTransformation #B2BTech #DataManagement #PublicSector

Person 1 (P1): “Our AI is live 🚀 It gives answers in seconds.” Person 2 (P2): “Nice. Can it explain where those answers come from?” Person 1: “…It’s very confident.” Person 2: “Cool. But can it show sources?” Person 1: “Well… not exactly.” Person 2: “Then how do you know it’s right?” Person 1: “Uh. The model says so?” Person 2: “Right. That’s the problem.” In real enterprise environments, AI isn’t judged by how fast it responds. It’s judged by whether you can trust the response. Can you trace it? Can you audit it? Can you defend it when legal, compliance, or leadership asks questions? That’s why the most valuable AI isn’t flashy. It’s predictable. Governed. And yes… a little boring. Because boring AI doesn’t surprise you. It just works. Your turn: Would you rather have AI that sounds impressive or AI that can explain itself? 👀 Check out this whitepaper: https://prgress.co/42aGNBb