--- title: "Product Demo Atlan + Iridicium" url: "https://atlan.com/atlan-and-iridicium-webinar/" description: "We're excited to meet you for a live demo to showcase how Atlan and Iridicium help to shape the future of data governance with our strategic partnership." keywords: "gartner summit, meet atlan" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ Webinar page for "Atlan and Indicium: shaping the future of data governance", a live demo showing how Atlan and its partner shape the future of data governance. The page also carries Big Data London booth copy (Stand #854), an analyst recognition, and an overview of Atlan's product areas with customer quotes. - **Format:** Atlan and Indicium, webinar - **Stand:** #854 (as listed on the page) ## Meet Atlan at Big Data London We're excited to meet you in person at Big Data London! Sign up for a personalized demo or an intimate dinner with our customers. The sign-up form is on the page: [https://atlan.com/atlan-and-iridicium-webinar/](https://atlan.com/atlan-and-iridicium-webinar/) ## Atlan named a Leader in The Forrester Wave "Atlan is more than metadata and data governance, standing out from the competition." [Download the full report](https://atlan.com/forrester-wave/) ## The current paradigm of metadata is broken. We're fixing it. Traditional data catalogs are static silos for your metadata. At Atlan, we believe that your metadata could do more. Much more. The page compares the old way and the new way in two diagrams. ## A personalized metadata experience Data teams are diverse. Analysts, engineers, scientists, and architects all have their own preferences. Then why serve the same generic experience to every persona? [Explore personalization](https://atlan.com/personalization-and-curation/) **Discovery & Catalog** ([https://atlan.com/data-discovery-catalog/](https://atlan.com/data-discovery-catalog/)) - Google for your data: search across your entire data landscape with SQL syntax and natural language search. - Shop for data with filters: customize your filters with the metadata you use everyday. - Browse with trust signals: get clues to trusting your data from the Companion Sidebar. - Choose your persona: curated assets, filters, and metadata by your role. **Data Asset 360** ([https://atlan.com/data-asset-360/](https://atlan.com/data-asset-360/)) - 360 degrees visibility: answer the most pertinent questions about your tables, dashboards, queries, and metrics with a GitHub-like repository for every asset. - Resource center: find all the Slack discussions, Jira issues, and GitHub repos that connect to your asset in one home. - Column-level lineage: find root causes, assess impact, and get full visibility into your data landscape with column-level context. - Collaborate in flow: share a link to a table with your team, ask a question in Slack, and create an announcement to bubble up issues, all from Atlan. **Active Data Lineage** ([https://atlan.com/column-level-lineage/](https://atlan.com/column-level-lineage/)) - Column-level lineage: an in-depth view of your data landscape, all the way down to column-level relationships. - Automated SQL parsing: automatically created, cross-system lineage from your warehouse to your BI tool. - Activate your lineage: when you spot an affected table or find the source of a broken dashboard, create a Jira issue or send a Slack message directly from Atlan. - Metadata propagation: automatically propagate classifications and access policies through the relationships created in lineage. **Data Governance** ([https://atlan.com/active-data-governance/](https://atlan.com/active-data-governance/)) - Custom classifications: tag sensitive assets with classifications like PII, Confidential, or Public. - Automated masking: secure your data with custom masking for all kinds of sensitive data. - Auto-PII detection: run Playbooks to auto-identify sensitive PII, HIPAA, and GDPR data. - Purpose-based policies: curate assets for business domains or team projects to provide the right data, in the right context. **Business Glossary** ([https://atlan.com/data-glossary/](https://atlan.com/data-glossary/)) - Personalize your glossary: create multi-level hierarchies to mimic your business domains. - Link assets to keywords: build a connected semantic layer by linking your data to keywords in your business. - Related terms: link conceptually-related metrics and definitions to give 360 degrees context in your glossary. - Collaborate: add owners, certify definitions, build approval workflows, and crowdsource your README to pull in all the tribal knowledge in your organization. ## Designed to help you flow Work seamlessly with the tools you use every day. Collaborate effectively with your team without leaving Atlan. Power your daily workflows with microflows. [Explore collaboration](https://atlan.com/embedded-collaboration/) ## Making data teams truly agile - **Cross-team collaboration:** "We are truly impressed with the ample collaborative features Atlan brings to help the analysts across our organization feed and maintain information." Karthikeyan Palanivel, VP, Enterprise Data & Analytics, SiteMinder (stack: Snowflake, Tableau, Airflow) - **Open API architecture:** "We are big believers in automating wherever possible and the quality and depth of your APIs, the fact that everything can be API-driven, was a huge deal for us." Phil Warner, Director of Data, Boulevard (stack: Snowflake, Looker, dbt) - **Self-service:** "My initial impression was the user interface and the thought put into every element - making it searchable, easy to navigate. When you have thought through small things like icons, it paints a good picture." Mehul Patel, Engineering Manager, ChargePoint (stack: AWS Redshift, AWS Glue, Tableau)