BMC AIOps makes zero-touch/zero-trouble network operations possible

Predictive incident capabilities and self-healing operations enable automated service management for CSPs’ network operations centres.

  • 6 months ago Posted in

BMC has expanded its Enterprise Service Management and AIOps capabilities, combining AI and machine learning to deepen observability, automate IT operations processes, detect patterns, and predict potential issues before they occur.

As communications SPs move toward future network architectures governed by cloud-native architectures, this ushers in a much greater role for automation and orchestration across various physical, virtual, and containerised network functions, as well as AI-informed operations and monetisation platforms. This in turn raises the importance of adopting AIOps within network operations. IDC sees AIOps becoming the “new normal" to automate major IT system and service management processes. [1]

Powered by generative AI, the new BMC Helix NetOps for CSPs offering is an extension of the BMC Helix IT Service Management (ITSM) solution. It delivers out-of-the-box workflows designed for communications service providers' (CSPs') Network Operations Centres (NOCs) and benefits CSPs by:

Fuelling automation to reduce operating costs associated with manual processes, duplicative efforts, and overlapping field service calls. Incident lifecycle events, from creation through closure, are automated based on alarms created by fault management systems.

Removing process siloes by unifying workflows, data, and processes across IT and NOC domains. NOC teams spread across geographies can be updated on incident progress with real-time information on performance against service level agreements, and complete visibility of network alarms and field service actions taken to resolve the incident.

Improving service assurance through rapid incident response that reduces mean-time-to-repair (MTTR) and mean-time-to-identify (MTTI) incidents and proactively predicting and preventing incidents before they occur.

Reducing change management risk through planning, implementing, and validating changes.

New advanced anomaly detection, coupled with a combination of innovative causal, predictive, and generative AI in the BMC Helix IT Operations Management with AIOps solution, helps CSP IT teams save time by proactively finding anomalies and unknowns through sophisticated algorithms built for complex IT environments.

“BMC is globally recognised for its leadership in service management and operations management with AIOps,” said Margaret Lee, senior vice president and general manager of Digital Service and Operations Management at BMC. “We’re revolutionising CSP service assurance for IT and network operations through unified workflows, data, and processes. BMC Helix NetOps for CSPs extends BMC’s best-in-class service management and AIOps capabilities across IT and network operations domains.”

Venafi has released a new research report, Organizations Struggle to Secure AI-Generated and Open...
Hitachi Vantara’s advanced infrastructure-as-a-service (IaaS) portfolio redefines IT economics by...
Transformative workforce management platform features debut of GenAI companion Maggi, which...
Sopra Steria Next publishes a ground-breaking study of the artificial intelligence market.
Dataiku and Databricks market research report highlights a decisive financial shift among...
Vesper Technologies has launched its onsite AI lab environment.
Government action to address AI security and privacy concerns is supported by 88% of IT pros.
Vodafone has extended its strategic agreement with Microsoft to roll out Microsoft 365 Copilot AI...