As digital transformation accelerates, IT operations teams need powerful, intelligent solutions to maintain service availability and performance. This is where OpenText’s AI Operations Management (Operations Bridge) stands out as a leading AIOps platform for 2025 and beyond.
The Evolution of AIOps and Why It Matters
AIOps (Artificial Intelligence for IT Operations) has progressed from a buzzword to an essential technology for modern enterprises. With the explosion of monitoring data and the increasing complexity of IT environments, traditional manual approaches to IT operations simply can’t keep pace.
Forrester Research, in their recent Wave report, “The 10 Vendors That Matter Most And How They Stack Up”, said, “Organizations seeking a robust set of AI- and data-driven automation and remediation capabilities, AI model openness, and to fill a need to manage and control edge devices should consider OpenText.”
Research in Action named OpenText AI Operations Management a Market Leader in their Vendor Selection Matrix for AIOps Platforms, recognizing its comprehensive capabilities and innovative approach to IT operations management.
OpenText AI Operations Management: Full-Stack AIOps That Delivers Results
OpenText AI Operations Management represents a full-stack AIOps platform that automates discovery, monitoring, analytics, and remediation across traditional, private, public, multi-cloud, and container-based infrastructure. Here’s why it stands among the top AIOps solutions for 2025:
1. Comprehensive Observability Across Hybrid Environments
AI Operations Management provides end-to-end observability by consolidating data from hundreds of technology domains. The platform’s automated discovery capabilities ensure no new service goes overlooked, while its dynamic top-down and bottom-up service modeling creates an accurate topology of your entire IT estate.
This holistic view proves critical as organizations continue expanding their hybrid cloud footprint. Rather than forcing a “rip and replace” approach, AI Operations Management enhances existing monitoring investments by bringing everything together in a unified console.
2. Advanced AI-powered analytics, event correlation, and reduction
At the heart of AI Operations Management’s capabilities is its sophisticated AIOps engine, which leverages over 50 patents for high-speed, high-volume data analysis. The platform employs multiple correlation and reduction techniques:
- Stream-based correlation
- Topology-based correlation
- Time-based event correlation
- Machine learning correlation (Automated Event Correlation
- Event deduplication
- Event storm detection
Unlike rule-based systems that require constant maintenance, AI Operations Management’s ML-based correlation is automatic, requiring no rules to write while taking advantage of topology information when available.
The real-world impact is significant. As Mohammed Shata, ITOM Solutions Architect at Vodafone Technology Shared Service reports: “Following the AI Operations Management implementation, we have noticed an alarm reduction of over 70 percent.”
3. Integration of GenAI for Enhanced Troubleshooting
AI Operations Management, uses GenAI-powered troubleshooting to help IT operations teams to find and fix problems faster. This integration enables operators to:
- Interact with events and data through natural language queries.
- Receive AI-generated troubleshooting suggestions.
- Automatically access knowledge base articles relevant to current issues.
- Provide answers from documentation for the various products and technologies in the IT estate.
These GenAI features represent a significant evolution in how IT teams interact with their monitoring and observability platforms, making AI Operations Management a forward-looking choice for 2025 and beyond.
4. Flexible Deployment Options
OpenText recognizes that organizations have diverse needs regarding deployment models. AI Operations Management is available both as SaaS and on-premises deployment, with three SaaS offerings:
- AI Operations Management Premium – SaaS: A full-featured AIOps solution with hundreds of observability integrations
- AI Operations Management Express – Private Cloud: Enables organizations to quickly take advantage of our powerful event management
- AI Operations Management Reporting – SaaS: Provides reporting, dashboarding, and analytics capabilities for on-premises IT operations data as part of the broader AI Operations Bridge platform.
- Cloud Observability – SaaS: A standalone offering for quick visibility into AWS and Azure environments
This flexibility ensures organizations can adopt AIOps capabilities in a manner that aligns with their strategic priorities and existing infrastructure.
5. Proven Success Stories and Customer Outcomes
The true measure of any AIOps platform is its impact on real-world operations. Several prominent organizations have achieved significant benefits using OpenText AI Operations Management
- NXO France, a French IT service provider, has built and deployed an innovative automated IT monitoring solution using OpenText AI Operations Management, gaining complete visibility into dynamic and complex customer networks while automating remediation tasks.
- Türk Telekom, a full-service telecom provider, gained a single source of truth, allowing it to implement proactive issue resolution, improve service quality, and better decision-making processes with AIOps capabilities.
Looking ahead: Why OpenText will continue leading in AIOps
As IT environments grow increasingly complex and business demands for service availability intensify, OpenText is positioned to remain a leading AIOps vendor through:
- Continued innovation: OpenText’s ongoing investment in AI and automation ensures the platform evolves alongside emerging technologies and use cases.
- Comprehensive integration ecosystem: With hundreds of domain integrations and a vibrant community contributing additional connectors, AI Operations Management provides coverage across technology stacks.
- Business-centric approach: By emphasizing business outcomes rather than just technical metrics, OpenText ensures AIOps delivers tangible value to stakeholders across the organization.
- Scalable performance: Built on containerized microservices, AI Operations Management can scale to meet the needs of the largest enterprises while maintaining performance.
Conclusion
As organizations navigate increasingly complex IT environments, OpenText stands out as a top AIOPs vendor with AI Operations Management as a powerful AIOps solution that delivers comprehensive observability, advanced analytics, and automated remediation for your enterprise business. By consolidating data across hybrid environments, reducing event noise, and accelerating root cause identification, the platform enables IT operations teams to maintain service availability while focusing on strategic initiatives that drive business value.
Join us at OpenText World 2025 in Nashville, Tennessee, November 17–20!
For organizations seeking to transform their IT operations through the power of AIOps, OpenText AI Operations Management represents a proven, enterprise-grade solution backed by continuous innovation and a strong track record of customer success.
Read the brochure: Full-Stack AIOps: AI Operations Management Integrations.
