Join us at
Big Data London 2026
UK’s leading data, analytics and AI conference and exhibition
Catch Us
on Stage
Why Visit Booth #1469
AI needs AI-ready data. We'll show you how enterprise context, data quality and data observability get your data AI-ready.
Get a context completeness assessment in two minutes
Step up to the booth, scan the QR, take a two-minute assessment, and see what context your AI agents are missing.
Context-Driven
Criticality
PRIZM knows which tables and fields actually matter to the business and prioritizes accordingly, instead of treating every anomaly as equally urgent.
Data Quality for
RAG and AI Pipelines
See how PRIZM evaluates and enforces the fitness of the data feeding retrieval pipelines and models, not just dashboards.
Alert Clustering
and Root Cause
Watch thousands of raw alerts collapse into a handful of prioritized, context-rich issues. One upstream failure produces one alert, not fifteen separate tickets.
Autonomous
Issue Resolution
From detection to decision to action to validation, PRIZM closes the loop without waiting on a ticket queue.
An Exclusive Sneak Peek of PRIZM
A VISIONARY
2026 Gartner® Magic Quadrant™
for Augmented Data Quality Solutions
RECOGNIZED VENDOR
2026 Gartner® Market Guide
for Data Observability
STRONG PERFORMER
The Forrester's Waveâ„¢
For Data Quality Solutions, Q1 2026
LEADER & STAR PERFORMER
Everest Group's PEAK Matrix®
2025 for Data Observability
Trusted By Enterprises Worldwide
Register Now
Meet Us at Booth K80
-
Engage with Our Experts
Talk through your organization's data observability, quality, and AI-readiness challenges directly with the DQLabs team.
-
Hear Real Customer Outcomes
Hear how data teams are rethinking enterprise context and building trusted AI for institutions.
-
See Live Demos
Watch PRIZM in action, see how we can deliver value in days, not months.
-
Walk Away with Something
Enter the daily prize draw at the booth.
Why not check out Prizm before the event?
Get a demo of the platform now, come meet the team behind it at Big Data London!
Book a Demo
