IBM and ServiceNow Expand Collaboration to Unlock Enterprise Data for AI at Scale

2026-06-11 · Source: IBM - Announcements (Artificial intelligence) · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Data Science & Analytics · Depth: Intermediate, short

Summary

IBM and ServiceNow announced an expanded multi-year collaboration on June 11, 2026, to tackle the significant barriers of AI-ready data and legacy application layers hindering enterprise AI at scale. This partnership aims to integrate IBM's AI, data, and automation capabilities with the ServiceNow AI Platform, enabling large enterprises to modernize outdated systems and utilize their data for AI. The joint solutions, expected in the second half of 2026, focus on three key areas. First, application modernization will utilize tools like IBM Bob, Enterprise Application runtime (Java), and IBM watsonx.data to refactor legacy systems. Second, enterprise data governance will extend ServiceNow Workflow Data Fabric with IBM watsonx.data, enhancing Data Quality, Observability, Master Data Management through ServiceNow Data Catalog. Third, autonomous infrastructure operations will integrate Red Hat Ansible, IBM Bob, Instana, Hashicorp Terraform, and Hashicorp Vault into ServiceNow IT workflows for proactive issue resolution.

Key takeaway

For AI Architects or Directors of AI/ML grappling with legacy system integration and data readiness for large-scale AI, this collaboration offers a clear path forward. You should evaluate the joint IBM and ServiceNow solutions, expected in late 2026, for modernizing applications, enhancing data governance, and enabling autonomous IT operations. This partnership aims to help your organization transition from AI ambition to scalable outcomes by evolving existing infrastructure rather than requiring full replacement.

Key insights

IBM and ServiceNow are collaborating to integrate AI, data, and automation capabilities to overcome enterprise AI adoption barriers.

Principles

• Evolve existing systems over replacement.
• Run AI on any chosen model.
• Rethink systems, data, and governance for AI scale.

In practice

• Modernize applications with IBM Bob and watsonx.data.
• Enhance data governance using ServiceNow Data Catalog.
• Automate IT operations via Red Hat Ansible and Instana.

Topics

• Enterprise AI
• Data Governance
• Application Modernization
• IT Automation
• IBM watsonx.data
• ServiceNow Platform

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by IBM - Announcements (Artificial intelligence).