--- title: "How DigiKey uses Atlan as a context operating system" url: "https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/" description: "Sridher Arumugham, CDAO of DigiKey, explains why Atlan isn't just another catalog - it's a context operating system." keywords: "atlan, data governance, regovern 2025, regovern watch center" --- > 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/ **How DigiKey uses Atlan as a Context Operating System**: a session recording from Re:Govern 2025 (online, Nov 4-5, 2025), in the [Re:Govern 2025 watch center](https://atlan.com/regovern-watch-center/). Sridher Arumugham, CDAO of DigiKey, explains why Atlan isn't just another catalog - it's a context operating system. The recording plays on the page after a short preview, then an email form unlocks the rest: [watch at https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/](https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/). ## Speakers - **Sridher Arumugham**, Chief Data & Analytics Officer, DigiKey. A Global CDO 100 honoree, Sridher has built data organizations across finance, software, and consulting. Now he's pioneering AI resilience across supply chains at DigiKey, the world's largest electronic component manufacturer. ## Company **DigiKey.** One of the world's largest electronic component distributors, DigiKey serves 180+ countries with 16.5M+ products and 25,000 daily shipments. DigiKey is pioneering AI resilience for supply chains, in a market projected to grow from $3B to $31B by 2029. ## What's inside DigiKey needed more than technical metadata cataloging - they needed a system that could handle every type of context across operational systems and activate it for discovery, AI governance, data quality, and AI models. Atlan delivered a unified platform where context flows to wherever work happens, not just gets documented after the fact. Key takeaways: - Context operating systems extend beyond cataloging to unify metadata across all systems, including operations - Activating context means making it available for discovery, AI governance, quality checks, and model serving - Six connected systems and 1M+ cataloged assets create a foundation for shared business language - AI-powered enrichment reduces manual stewardship work while maintaining quality standards - A single source of truth for context enables 200+ users to rely on consistent definitions in their daily work ## Session chapters 1. From cataloging to context activation: How DigiKey expanded beyond technical metadata to unify context across operational systems. 2. Activating context for discovery and AI: Making context usable for data discovery, AI governance, and model development. 3. Scaling context across six systems: Unifying data across six connected systems and over a million assets. 4. AI-powered metadata enrichment: Reducing manual stewardship through AI-driven enrichment and validation. 5. Context as a shared language: Building a single source of truth for context across 200+ daily users. ## More from Re:Govern 2025 - [DigiKey: Context Readiness](https://atlan.com/regovern-watch-center/digikey-context-readiness/) (Session Recordings) - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (Session Recordings) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (Session Recordings) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (Session Recordings) - [How Regulated Business are Moving Governance Beyond Compliance](https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/) (Highlights) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (Highlights) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (Highlights) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (Highlights) - [How CME Group Evaluated Vendors for its Context Layer](https://atlan.com/regovern-watch-center/cme-group-evaluation/) (Highlights) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (Highlights) - [Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/) (Session Recordings) - [How Mastercard is Building AI-Ready Data Products](https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/) (Session Recordings) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (Session Recordings) - [Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI](https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/) (Session Recordings) - [What Forced Mastercard to Modernize Its Context Stack](https://atlan.com/regovern-watch-center/mastercard-context-stack-modernization/) (Highlights) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (Highlights) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (Highlights) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (Highlights) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (Highlights) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (Highlights) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (Highlights) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (Highlights) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (Resources)