ServiceNow Unveils Real-time Data Foundation to Power Autonomous AI Across the Enterprise
At Knowledge 2026, ServiceNow announced new data capabilities designed to unleash the full power of autonomous AI with real-time, governed enterprise data. This aims to resolve data silo issues and enable autonomous AI to leverage real-time information, execute operations, and manage agent governance effectively.
📋 Article Processing Timeline
- 📰 Published: May 8, 2026 at 22:30
- 🔍 Collected: May 8, 2026 at 14:01
- 🤖 AI Analyzed: May 8, 2026 at 22:05 (8h 3m after Collected)
Context Engine, Autonomous Data Analytics, and Workflow Data Fabric provide governed live data essential for autonomous AI actions.
*This material is a summary translation of a press release announced by ServiceNow, Inc. (USA) on May 6, 2026 (US time).
ServiceNow (NYSE: NOW), the "AI control tower" for business transformation, today announced new data capabilities at "Knowledge 2026," ServiceNow's annual customer and partner event, designed to maximize the power of autonomous AI based on real-time and governed enterprise data. This announcement resolves data silo issues between systems that have hindered the utilization of enterprise AI, enabling autonomous AI to leverage real-time information, execute operations, and manage agent governance, which are all essential.
The reason most enterprise AI fails is not due to flawed models. It's because data is scattered across siloed systems, preventing AI agents from effectively governing and executing actions where they are most needed, leading only to superficial judgments that remain as suggestions rather than actual execution. ServiceNow's "Context Engine" and "Autonomous Data Analytics" break this paradigm by extracting data from all signals across the organization (assets, workflows, people, policies, operational history, etc.) and applying a semantic layer that integrates CMDB, workflow data, insights from data analytics, and external systems. This allows all AI decisions to be based on real-time operational context. As the Context Engine continuously learns from system operational history, its intelligence accumulates with each workflow, improving AI accuracy with more executions.
Gaurav Rewari, EVP and General Manager of Data and Analytics at ServiceNow, stated: "Organizations winning the AI race are directly embedding trusted, contextualized data into the workflows that run their businesses, providing insights that empower teams and AI to act with confidence. That is ServiceNow. It is a platform where insights merge with every workflow, every transaction, and every decision, each accumulating intelligence to drive the next action."
Intelligence in the Age of AI
The Context Engine provides the deep context and governance required by enterprise AI. By mapping all people, roles, assets, services, and policies within an organization in real-time and deeply integrating them into actual business flows, it provides AI with "organization-specific business context." To supply this Context Engine with reliable business logic, ServiceNow announced a new vision for "Autonomous Data Analytics." Leveraging innovations from the recently acquired Pyramid Analytics, all users and AI agents can query data assets across the organization using natural language, instantly receiving secure and accurate insights.
Inconsistent ledger management (or lack thereof) across dozens of fragmented systems, and governance processes designed for human analysts rather than AI agents, are factors that create AI that can only advise but cannot execute or complete workflows. ServiceNow solves this challenge with three capabilities that link data discovery, governance, and autonomous actions without leaving the platform where work is done.
Autonomous Data Governance continuously monitors data assets and automatically flags quality violations. This allows security and privacy policies to be applied in real-time, helping to ensure that data supplied to AI workflows always meets defined standards without manual intervention. And Workflow Data Fabric with ServiceNow Otto makes all of this accessible to all users through a natural language experience, enabling curation and...
*This material is a summary translation of a press release announced by ServiceNow, Inc. (USA) on May 6, 2026 (US time).
ServiceNow (NYSE: NOW), the "AI control tower" for business transformation, today announced new data capabilities at "Knowledge 2026," ServiceNow's annual customer and partner event, designed to maximize the power of autonomous AI based on real-time and governed enterprise data. This announcement resolves data silo issues between systems that have hindered the utilization of enterprise AI, enabling autonomous AI to leverage real-time information, execute operations, and manage agent governance, which are all essential.
The reason most enterprise AI fails is not due to flawed models. It's because data is scattered across siloed systems, preventing AI agents from effectively governing and executing actions where they are most needed, leading only to superficial judgments that remain as suggestions rather than actual execution. ServiceNow's "Context Engine" and "Autonomous Data Analytics" break this paradigm by extracting data from all signals across the organization (assets, workflows, people, policies, operational history, etc.) and applying a semantic layer that integrates CMDB, workflow data, insights from data analytics, and external systems. This allows all AI decisions to be based on real-time operational context. As the Context Engine continuously learns from system operational history, its intelligence accumulates with each workflow, improving AI accuracy with more executions.
Gaurav Rewari, EVP and General Manager of Data and Analytics at ServiceNow, stated: "Organizations winning the AI race are directly embedding trusted, contextualized data into the workflows that run their businesses, providing insights that empower teams and AI to act with confidence. That is ServiceNow. It is a platform where insights merge with every workflow, every transaction, and every decision, each accumulating intelligence to drive the next action."
Intelligence in the Age of AI
The Context Engine provides the deep context and governance required by enterprise AI. By mapping all people, roles, assets, services, and policies within an organization in real-time and deeply integrating them into actual business flows, it provides AI with "organization-specific business context." To supply this Context Engine with reliable business logic, ServiceNow announced a new vision for "Autonomous Data Analytics." Leveraging innovations from the recently acquired Pyramid Analytics, all users and AI agents can query data assets across the organization using natural language, instantly receiving secure and accurate insights.
Inconsistent ledger management (or lack thereof) across dozens of fragmented systems, and governance processes designed for human analysts rather than AI agents, are factors that create AI that can only advise but cannot execute or complete workflows. ServiceNow solves this challenge with three capabilities that link data discovery, governance, and autonomous actions without leaving the platform where work is done.
Autonomous Data Governance continuously monitors data assets and automatically flags quality violations. This allows security and privacy policies to be applied in real-time, helping to ensure that data supplied to AI workflows always meets defined standards without manual intervention. And Workflow Data Fabric with ServiceNow Otto makes all of this accessible to all users through a natural language experience, enabling curation and...