Big Data Quarterly Summer 2026 by Database Trends & Applications just dropped and you'll find an article by Keith Belanger on why it's not acceptable to settle for manual DataOps in the AI era. You'll have to register to download the issue (or magnify your screen size a whole lot to read it in the image below), but it's worth it: https://lnkd.in/gHuNf2Uh #DataOps #DataOpsAutomation #AIReadyData
DataOps.live
Software Development
London, UK 3,328 followers
The DataOps Automation Platform - Now a part of FICO
About us
DataOps.live is the DataOps automation platform that helps enterprises operationalize data for trusted AI. With built-in automation, observability, and governance, DataOps.live enables data teams to deliver reusable AI data products and scale their impact across the business. Backed by Snowflake Ventures, Anthos Capital and Notion Capital, DataOps.live partners with global enterprises to make their data AI-ready.
- Website
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http://www.dataops.live
External link for DataOps.live
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- London, UK
- Type
- Privately Held
- Founded
- 2020
- Specialties
- dataops, data analytics, IoT, data engineering, data mesh, data vault, data orchestration, test and observe, data pipeline orchestration, CICD, Snowflake, data operations, and DataOps Automation
Employees at DataOps.live
Locations
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Primary
Get directions
London, UK, GB
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Get directions
Tampa, FL, US
Updates
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For decades, FICO has supported organizations across industries in automating and optimizing decisions. Today, as recognized as a Leader in the 2026 Gartner Magic Quadrant™, FICO® Platform brings that legacy together, enabling businesses to unify data, decisions, and operations to deliver tangible outcomes. 📌 BIG NEWS: FICO and DataOps.live are merging! Make sure to follow FICO on LinkedIn for more content on decision intelligence: https://lnkd.in/eW_MmX6i And go here for more info on decision intelligence software: https://lnkd.in/eXNcSmvB #FICO #decisionintelligence #FICOPlatform
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Last day of Snowflake Summit! You'll find us at booth 1316 if you want to talk about: - How data engineering productivity can improve by 400% with the right tooling and workflow around Cortex Code - Why FICO acquired us and what the future looks like - Anything DataOps related We've been having a blast as you can see from the pics in the carousel. Here they are, in order: 1 - (clockwise) Nick Halsey, Raymon Gompelman, John F. Marchese, and Guy Adams (seated) celebrating 5 years of Summit partnership 2 - Guy Adams flanked by Snowflake legends, Co-founder Thierry Cruanes and Co-founder, President of Product Benoit Dageville 3 - Our 5 year Summit Bear partner celebration print 4 - As captioned, Guy's standing room only session on Cortex Code for Full Lifecycle Development 5 - Steve Huber with the Snowflake superheroes #SnowflakeSummit #DataOps #CortexCode #EnterpriseData #AIReadyData
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If you're at Snowflake Summit this week, join us Tuesday from 6-8pm to unwind over a pint. Space is limited so be sure to register: https://lnkd.in/d_sjpjNw It's a great chance to learn more about why FICO acquired DataOps.live and what's in store. Or just to come eat some appetizers, drink some beer, and talk some DataOps. If you can't make it, you'll find us at Booth #1316! #SnowflakeSummit #HappyHour #Event #DataOps
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Who’s headed to Snowflake Summit next week? 🖐 We're excited to now be a part of FICO, a global leader in analytics, scoring, and intelligent decisioning. You'll find us at Booth 1316, or drinking pints at The Chieftan Tuesday evening at Pints & Pipelines from 6-8pm. You can join us there too, but space is limited. Register now to save your seat: https://lnkd.in/d_sjpjNw #SnowflakeSummit #Snowflake #DataOps #AI #DataEngineering #HappyHour
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Two events, one mission: deliver AI-ready data at scale. FICO World 26 — NOW in Orlando, through May 22 The first chance to see how the FICO platform's DataOps capabilities will be expanded with DataOps.live. Main stage on Thursday the 21st and a booth with live demos in the Innovation Center. Snowflake Summit 2026 — San Francisco, June 1–4 As a Snowflake-native DataOps automation platform, we will be showing how the DataOps.live Automation Platform, now part of FICO, automates testing, CI/CD, and governance so you can ship trusted, AI-ready data products faster. Same platform, team, and Snowflake-native foundation, now backed by FICO. If AI isn't making it from pilot to production at your organization, find us at either event. #FICOWorld26 #SnowflakeSummit #DataOps #AI #Snowflake
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We’ll be at FICO World 26 next week! On Thursday's mainstage, Guy Adams joins FICO's Tara Bhat (SVP Product) and Nikhil Behl as they share how the FICO Platform is expanding its DataOps capabilities. Following the mainstage, join us in the Innovation Center for: - Demos at the booth with Guy and team - 1:1 consultations on operationalizing AI with trusted, governed data - Innovation stage presentation and demo If you are working to move AI from pilot to production, this is where you want to be. #FICOWorld26 #DataOps #AI #DataEngineering
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Most conversations about AI-readiness start and end with data quality. Thinking about data quality isn’t wrong, but it's not enough. Treating AI-readiness as a data-quality checklist overlooks something important: quality is a point-in-time assessment. AI operates continuously, and so must your data operations. What AI demands is data that’s reliably complete, accurate, timely, and governed around the clock. That takes pipelines that are tested on every run, governance that's enforced by design rather than audited after the fact, and observability that catches drift before it reaches a model or an agent. That's a different problem than cleaning up a dataset. It's an operational problem. The organizations making real progress on AI have built the DataOps processes and automation to keep their data trustworthy at scale, under change, and across teams. That automated DataOps discipline is what separates a successful AI demo from a successful AI deployment. "Good enough" data has always had consequences. In the AI era, those consequences are faster, wider, and harder to contain. When your organization talks about AI-readiness, is the conversation focused on data quality, on data operations, or both? And where are you finding the biggest gap between the two? #dataops #AIreadiness #TrueDataOps #dataquality
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It’s one of the most important questions in enterprise data right now: what does AI-ready data actually look like? It might seem like a general question, but there is a specific answer. #dataops #AIreadiness #TrueDataOps #dataops #automation
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🚨 EMERGENCY 🚨 A pipeline breaks. A deployment fails. A “quick fix” makes it worse. Data teams that stitch together manual processes never know when the next disaster will strike. But it inevitably does, and suddenly the team’s not building anymore. They're reacting to what just broke. It’s easy to focus on improving incident response. The better move is to operationalize so that surprises stop happening in the first place. #deployment #deploy #dataops #datapipelines #deploymentissues