Astreya

Big news from the Astreya × Databricks universe. Data Trust & Stats Intelligence (DTSi) is now live on the Databricks Marketplace! If you work with large, messy, fast-moving datasets, this is one of those releases that actually makes your day easier. What it does: Removes the constant question of “Can we trust this data?” Replaces it with “What can we confidently decide right now?” DTSi automates data validation, surfaces statistical insights, and flags anomalies early, turning scattered, unreliable data into clear, decision-ready intelligence your teams can act on. Learn more: https://ow.ly/T8TT50XC0wt #Databricks

We work with some of the most complex global IT environments in the world. And we see the same pattern everywhere: critical knowledge is buried inside incident comments, resolution notes, screenshots, attachments, and the minds of busy engineers. When we asked engineers what slowed them down most, the answers were consistent: “I know we’ve solved this before, but I can’t find the article.” “The KB is too outdated to trust.” “I don’t have an hour to turn my resolution into an article.” “Knowledge isn’t the problem; documentation is.” So our Enterprise AI team asked a simple question: What if #ServiceNow users didn’t have to choose between staying productive and keeping knowledge up-to-date? What if knowledge updated itself? Keep reading to learn more 👇

If you’re a ServiceNow user, you already know your IT engineers are doing great work every day. But… there’s always room to make the things you already use, know, and love work even better for you. That’s why our Enterprise AI team built three new AI agent suites to remove the friction points no one has time for. Ready to see them in action? Scan a QR code or head to the ServiceNow Store to download: https://lnkd.in/dB9J4X3G If you have questions about how any of this fits into your environment (or where your org is in the AI readiness journey), Debashree Chatterjee is the best person to talk to. She’s been guiding a lot of teams through this shift. #AI #AgenticAI #ServiceNow

Happy Thanksgiving to all our amazing customers, partners, and the incredible team that makes Astreya what it is! We’re truly grateful for how far we’ve come together this year. We hope you have a restful, restorative holiday and that you’re as excited as we are for everything 2026 will bring. Enjoy the time with your loved ones! #Thanksgiving

Tired of IT detective work? We were too. That's why we created TicketLens: A ServiceNow-native AI application that gives your engineers: ✅ Instant Incident Summaries: Clean, accurate overview of parent/child tickets, work notes, and attachments in ~15 seconds. ✅ CI Health Score: Proactively identifies missing CMDB data and stale configurations, turning knowledge gaps into actionable improvements. ✅ Seamless Context: Surfaces root causes and risks from linked Problem and Change records without leaving the ticket. See how TicketLens provides the clarity and speed your team needs today and download it for free (for a limited time) on the ServiceNow Store: https://lnkd.in/guSbV-jF #ITOperations #Productivity #ServiceNow

For years, organizations have embraced a comforting but outdated belief: If it’s not broken, don’t fix it. In IT, this reactive stance doesn’t save money; it silently drains it. On the surface, waiting until something breaks seems practical. But as Bharath Keshavamurthy points out, the real costs are hidden and staggering. Hear 3 major drawbacks of this reactive approach. 👇

Cloud promised on-demand infrastructure and faster innovation. AI now promises: Code that writes itself. Policies that enforce themselves. And systems that heal themselves. Yet many organizations still ship production changes through console clicks, ad hoc scripts, and end-of-quarter fire drills. We found that only a small percentage of enterprises qualify as highly cloud-mature. Many others sit in a fragile middle. AI-generated infrastructure code drops into this mix and magnifies whatever is already true (good or bad). That's why we've created the Cloud Infrastructure Automation Value Model. It outlines 4 stages of automation maturity (from fully manual to orchestrated and self-service) and categorizes them by 5 levels of complexity: teams, resources, change frequency, environments, and regulation. That matrix produces an uncomfortable but necessary question for IT leaders: “Given our actual complexity, what level of automation is sustainable, and what does it take to operate there safely?” Keep reading to find out: https://lnkd.in/efDAVGZG #Cloud #AI #IT

Most companies don’t realize they're sitting on invisible inefficiencies that quietly drain money, burn out teams, and stall innovation. But the symptoms show up everywhere: 🛑 Rising operational costs from manual work 🛑 Endless swivel-chair tasks between tools 🛑 Data silos that kill visibility 🛑 Burnout from “do more with less” 🛑 Inconsistent customer experiences 🛑 Legacy workflows that can’t scale If your IT foundation isn’t automation-ready, every strategic initiative on your roadmap slows down. That’s why we built the AI Automation Readiness, Maturity & Coverage Assessment. It’s a free, fast (3–5 minutes) and helps you see exactly: ✔️ Where automation can create immediate ROI ✔️ Where you’re losing time, money, and talent ✔️ How mature your current environment actually is ✔️ What gaps are blocking your AI and automation roadmap 🚀 Learn more below, and here’s the link to take it: https://lnkd.in/d-i6VXY9

Imagine resolving complex incidents in seconds. Or suddenly turning messy, unstructured data into clear, confident decisions. With our newly launched AI agents on the ServiceNow Store and DTSi now live on the Databricks Marketplace, we're making seamless and intelligent IT support a reality. Powered by 21+ specialized agents and Gemini Flash, our agentic solutions are helping enterprises on ServiceNow shift from reactive to predictive ITOps. 👉 Read the full press release to learn more: https://lnkd.in/eEgrfGiA