The (Intercompany) Force

BMC Transforms Monitoring and AI Operations with BMC HelixGPT

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Key Takeaways

⇨ BMC, a leader in software solutions for the Autonomous Digital Enterprise, has announced new AIOps capabilities for the BMC Helix Operations Management solution using its BMC HelixGPT capability.

⇨ The BMC Helix Enterprise Service Management solution has been recognized as a leader in The Forrester Wave™: Enterprise Service Management, Q4 2023 report.

⇨ The enhanced BMC Helix Operations Management solution redefines IT operations with immediately deployable service blueprints, enabling dynamic service modeling.

BMC, a leader in software solutions for the Autonomous Digital Enterprise, and the first vendor to embed GPT across its AI-driven service and operations management portfolio, has introduced new AIOps capabilities for the BMC Helix Operations Management solution using its BMC HelixGPT capability. The BMC Helix Enterprise Service Management solution has been recognized as a leader in The Forrester Wave™: Enterprise Service Management, Q4 2023 report and received the highest possible score in 16 criteria, including vision, roadmap, and partner ecosystem.

The enhanced BMC Helix Operations Management solution redefines IT operations with immediately deployable service blueprints, enabling dynamic service modeling. It simplifies complex data into comprehensible insights with its situation explainability feature, and employs situation fingerprinting technology to identify and recall past similar events efficiently. The solution has also advanced its capabilities with deep container auto-detection, offering in-depth insights into containerized infrastructures.

In an era where businesses navigate the intricacies of hybrid, multi-cloud ecosystems, characterized by data volume and complexity growth, they necessitate the leverage of sophisticated AI and machine learning. Such technologies are crucial for boosting visibility and observability and ensuring the highest availability and performance of business services, which the BMC Helix Operations Management solution is expertly designed to deliver.

The BMC Helix Operations Management solution combines advanced causal AI, predictive AI, and generative AI to identify the root cause of issues, enable customers to address problems before they happen, and automate event summaries and generate best action recommendations for complex problems. These advancements transform IT operations, enhancing service dependability and fortifying business continuity. The integration of these innovations leads to optimized operational efficiency, achieved through a unified view that breaks down the barriers between tool silos. Additionally, the deployment of cutting-edge AI-driven analytics markedly elevates the precision and speed of problem detection and resolution, thus substantially reducing both the mean time to identification (MTTI) and the mean time to repair (MTTR), ensuring that services remain robust and responsive.

The BMC Helix Operations Management innovations include:

  • Service blueprints: BMC Helix Operations Management offers out-of-the-box service blueprints which makes creating and maintaining dynamic service models easier. These service models stay up-to-date on their own, supporting modern tech like microservices, Kubernetes, cloud services, and app performance tracking, which keeps everything accurate in the fast-paced world of IT.
  • Situation explainability powered by causal AI: This feature improves how quickly incidents are solved by comparing them to similar past events and suggesting the quickest solutions. It also lets users add their insights, which helps figure out the cause faster. This means businesses can bounce back from disruptions quicker without having to sift through lots of old incident reports. Plus, BMC HelixGPT helps by giving easy-to-understand summaries of past fixes and keeping a record of likely causes for future reference.
  • AIOps situation fingerprinting powered by AI, GPT, and NLP: Powered by advanced causal AI, situation fingerprinting automatically identifies whether a similar situation has previously occurred, eliminating the need to (re)diagnose a situation. This enables easier future identification to help speed MTTR, reduce noise and staff toil, and improve service performance.
  • Improved deep container auto-detection: With the BMC Helix platform’s advanced discovery capabilities, users can automate detection and get deeper container visibility and understanding. This capability enhances knowledge-sharing among site reliability engineers (SREs), services owners, and operations teams responsible for modern, dynamic containerized environments. Users can speed up mean time to repair (MTTR) while significantly reducing traditionally manual efforts by enabling deeper container visibility.

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