AIOps: Artificial intelligence for IT operations

Consolidate data sources from across the enterprise in a unified, actionable view. Use artificial intelligence and machine learning (AI/ML)-driven predictive analytics to:

• Identify operational issues quickly
• Reduce work hours by 20 percent with automated remediations

Featured products

• BMC Helix Operations Management with AIOps: Award-winning service-centric monitoring, advanced event management, and AI/ML-based root cause isolation to reduce MTTR and improve agility
• BMC AMI Ops: AI-powered mainframe observability suite with actionable intelligence, embedded expertise, and simplified management

Built-in anomaly detection triggers events and notifications based on metrics. With the insights gained, you can:

• Reduce worker effort spent on manual incident management by 80 percent
• Improve mean time to repair (MTTR) by 15 percent with root cause isolation
• Increase service availability

Using AI/ML-driven event management systems, IT teams can automate the detection, diagnosis, and even resolution of incidents. This automation not only speeds up the response time but also enhances the accuracy of IT incident management. Use AIOps for incident management to help you:

• Perform event analytics
• Streamline incident response
• Optimize incident prioritization

Advanced analysis of aggregated data across infrastructure and applications enables you to:

• Reduce MTTR by 50 percent within six months through faster root cause analysis
• Continuously optimize resource management and identify container risk in over-subscribed environments
• Improve resource and container efficiency with pod recommendations and intelligent “what-if” planning