CAT’s Post

When the Swiss project hit enterprise reality, open source cracked — CAT didn’t, and that’s why the customer chose trust in their data 💜 .

Reference documents across modules with just a click. CMIS has broken down the silos. Because data belongs where it’s needed, not buried three tabs deep. 📎 See it work: https://nuel.ink/rFSGPO — eliminate the “Where’s that file?” panic.

🚀 Structured Data Meets Reliability with Trustcall Working with LLMs often feels like magic—until you ask them to generate or update structured data. That’s when the cracks show: ❌ Unreliable ❌ Expensive ❌ Slow That’s where Trustcall comes in. Instead of forcing the model to regenerate an entire JSON blob every time, Trustcall uses JSON Patches to make small, targeted updates. The result? ✅ Reliable ✅ Cheap ✅ Fast Think of it as moving from “rewrite the whole essay” to “just fix the typos.” This approach shines in scenarios like: Updating user profiles or memories without losing context Extracting structured data from messy documents Building agent workflows that depend on consistent schemas I’ve been experimenting with it in combination with LangChain/LangGraph, and the performance difference is night and day. 🔗 Check out the diagram below 👇 to see how Trustcall changes the game

📢The Data Exchange SDK team has released version 6.2.0-beta, delivering enhanced stability, improved performance, and a more consistent, standardized experience. The most notable change in version 6.2.0 is the shift from using ExchangeData to ElementDataModel for all data exchange operations. ExchangeData is now internal-only, simplifying the API and consolidating data handling into ElementDataModel. Dive into the details: https://bit.ly/4oUflBO

Organizations struggle with fragmented data sources, poor data hygiene, and inefficiencies in leveraging AI-driven insights. Learn how C1 Fabric solves these challenges by providing a unified, centralized, and automated data management solution that connects seamlessly with enterprise systems. Access the datasheet: https://ow.ly/TaML30sPIv3

🚀 Diffusion 6.12 is here! Smarter Topic Views, Metric Alerts, and stronger session + cluster controls - built for developers. The latest enhancements have been introduced to speed up development, optimize resource usage, and guarantee consistent, high-performance real-time data. Find out more: https://lnkd.in/e4StQQfd

An open protocol – designed for seamless integration between LLMs and external data sources or tools, providing a standardized framework to deliver the context they need. https://lnkd.in/gkmr3v5B

#CRIMS rarely fails on features; problems start when data arrives late. In this new edition, our IMS expert Anil Kumar lays out a pragmatic playbook: when to go real-time vs. batch, how to design clean API/data contracts, and the orchestration + monitoring that keep prices, positions, and corporate actions in sync in a T+1 world. If you work with Charles River, this is a series you’ll want to follow. Click here to read the full #blog: https://lnkd.in/gDAypceq

3 data frustrations holding back Phase I to Phase II transitions: 1️⃣ Data cleaning takes too long 2️⃣ Delays from last-patient-last-visit to database lock 3️⃣ Electronic systems aren’t ready to go live Medrio and ISR surveyed 88 industry professionals in early-phase research to uncover how sponsors can overcome these roadblocks. The best way to keep momentum into Phase II? Define your must-have data, prioritize data standardization, and create continuity between study teams from the start. Read the full report for more insights from experienced early-phase sponsors  ➡️  https://lnkd.in/euFiJK_k

Legacy archives are stuck in the past. Smarsh moves data management forward — faster search, AI-enabled risk detection, and smarter storage. See how we stack up against legacy systems and learn how to do more than just store your data: bit.ly/4ltJXHp