IBM and ServiceNow Expand Collaboration to Unlock Enterprise Data for AI at Scale
| Source: IBM Newsroom AI
Tags: IBM, ServiceNow, enterprise AI, legacy modernization, agentic AI, data fabric
IBM and ServiceNow announced a multi-year collaboration targeting two enterprise AI blockers: AI-ready data pipelines and legacy application modernization — combining IBM's AI and automation stack with ServiceNow's Workflow Data Fabric to enable agentic AI at scale.
Details
IBM and ServiceNow announced an expanded multi-year collaboration targeting two specific barriers holding back enterprise AI deployment: the AI-ready data problem and the legacy application layer. The partnership aims to combine IBM''s AI, data, and automation capabilities with the ServiceNow AI Platform. Planned joint solutions include modernizing aging legacy systems, extending ServiceNow Workflow Data Fabric with IBM enterprise data capabilities, and enabling autonomous IT operations. The companies describe it as helping organizations evolve existing systems rather than replace them while running AI on any chosen model. IBM framed the problem clearly: decades of deeply interconnected legacy systems are the biggest barrier to moving fast on AI. Most enterprises have the ambition to deploy agentic AI but lack the foundation to run it at scale. This partnership directly targets that gap. The collaboration is particularly significant for large enterprises with complex legacy infrastructure — IBM and ServiceNow together represent a substantial footprint in enterprise IT, and their combined push toward AI-ready data fabric could accelerate agentic deployments in sectors like banking, insurance, and government.