Context Gives Data Meaning.
Active Keeps It Current.
Context connects enterprise data with business definitions, relationships, governance, identity, and the situation in which it is being used.
Active context keeps that context connected to the current state of the business.
It uses live enterprise data and applies the right meaning and policies when the request is made, so AI and other consumers can work with information that is both trusted and timely.
Active context combines trusted business meaning with live enterprise information, delivered for the consumer and task at hand.
Active context combines trusted business meaning with live enterprise information, delivered for the consumer and task at hand.
Scale AI Without Rebuilding Context for Every Use Case
As AI becomes more embedded in business operations, the challenge is no longer simply adoption, but delivering greater value without allowing cost, complexity, and risk to scale at the same pace.
When each initiative creates its own pipelines, copies, semantics, and governance, complexity grows with it. Model Context Protocol (MCP) makes enterprise data easier to expose, but without a shared foundation, it can also multiply point-to-point connections and inconsistent context.
A reusable context foundation lets teams build on shared access, governance, and meaning instead of starting over for every new application.
This shortens delivery cycles, reduces duplicated integration work, and helps different AI systems operate from a more consistent view of the business.
What Makes Context Active?
Connected
Bring together the information needed for a decision or task across cloud, on-premises, SaaS, lakehouse, streaming, operational, and legacy environments.
Governed
Apply security, privacy, and usage policies according to the identity, purpose, and circumstances of each request, so control is built into delivery.
Semantically Trusted
Preserve consistent definitions, metrics, relationships, and business meaning, so different consumers can interpret enterprise data in the same trusted way.
Live
Use current enterprise data when freshness matters, reducing the delay and maintenance required when stakeholders rely solely on copies prepared for earlier use cases.
Situationally Relevant
Deliver the context appropriate to the consumer, task, and business moment, instead of forcing every application or user to sort through the same information.
From Project-Specific Context to a Reusable Enterprise Foundation
Active context does not eliminate every pipeline, copy, vector database, or application-specific dataset. It provides a shared foundation so those technologies can be used where they add value rather than becoming the starting point for every initiative.
Analytics and Decision-Making
Give analysts and business leaders consistent metrics and current information, reducing reconciliation work and speeding decisions.
Enterprise Data Products
Reuse governed data, semantics, and policies across teams instead of preparing the same information repeatedly.
AI Agents and Applications
Ground AI in current business information and trusted meaning, so teams can move into production faster with improved confidence in AI outcomes.
Operational Applications
Provide applications and workflows with contextual data while reducing point-to-point dependencies and duplicated integration logic.
Deliver Active Context Across the Distributed Enterprise
Deliver Trustworthy Agentic AI
Connect agents to live, governed enterprise context without rebuilding access, policies, and meaning for every application.
Explore Agentic AIAccelerate the Value of the Data Lakehouse
Extend lakehouse investments with trusted access to data beyond the lakehouse and reduce unnecessary movement.
Explore Lakehouse ValueEnable Governed Data Sharing
Create reusable enterprise data products that make trusted information easier to discover, understand, and share.
Explore Data Sharing