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Operations Management

BMC Helix Operations Management with AIOps

BMC AIOps uses generative artificial intelligence and advanced observability capabilities to optimize IT operations management (ITOM).

Overview
Key Benefits
Customer Stories

BMC Helix Operations Management with AIOps Uses predictive capabilities to proactively improve the performance and availability of IT services in multi-cloud, hybrid, and on-premises environments.

BMC Helix Operations Management

BMC Helix Operation Management Data Sheet

Operational Efficiency

 

AIOps creates value for observability by enabling teams to move from reactive to proactive, isolating root causes and managing risks related to system and software changes before they impact the business.

  • Cost Reduction
  • 50% reduction in incident creation through automation.
  • Noise reduction: reduction of irrelevant events by up to 80%.
  • Reduction of MTTR (mean time to resolution) by up to 50%.

Intelligent automation

Uses AI algorithms to identify and resolve problems automatically, reducing manual operational load.

  • Intelligent Productivity
  • Automation of 25-30% of events through self-remediation.
  • Elimination of repetitive tasks: Reduces manual burden on IT teams through data-driven automation.
  • Automated remediation through automated workflow integration.

User Experience

With advanced data analytics, AIOps provides you with valuable information to make informed decisions, accelerating problem solving and improving decision making.

  • Decision Making
  • Visual modeling using a blue print template reduces the time to design new services or improve existing ones.
  • Service dashboard reduces time spent creating new dashboards by up to 90%.
  • Reduces time spent on maintenance and support of legacy monitoring tools, reducing existing infrastructure and maintenance costs by up to 60%.

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