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BMC Helix Updated

BMC announced new operations management features and capabilities for the BMC Helix solution designed to increase decision-making accuracy and accelerate mean-time-to-repair (MTTR) through early detection, operational intelligence, and resource optimization.

- Increases Visibility and Management: The BMC Helix Discovery solution, allows customers to gain instant visibility into hardware, software, and service dependencies across multi-cloud, hybrid, and on-premises environments, including the ability to securely and efficiently identify Google Virtual Machines that do not have public IP addresses. Also, enterprises with mainframe assets can secure deeper insights into the dependencies and interactions between components and distributed resources for more effective modeling, leading to improved decision-making accuracy and service assurance. In addition, intelligent integrations augment discovery information with rich asset and dependency information from third-party data sources such as application performance monitoring (APM) tools and configuration management databases (CMDBs).

- Improves Performance and Availability: The new BMC Helix Operations Management solution’s integration capabilities enable AIOps to consume service models that enhance situational and root cause analysis to quickly resolve event alerts and accelerate MTTR. Additionally, service modeling reduces complexity and accelerates time-to-value with an innovative blueprint-based, automated capability.

- Predicts Future Resources for Business Demands: To improve resource right-sizing and align to future business needs, the BMC Helix Continuous Optimization solution uses advanced analytics that accurately forecast business driver growth with existing capacity. Dynamic service model integration increases visibility into business service health using a comprehensive consolidated view of application and infrastructure data. Additional functionality increases decision-making accuracy when planning for on-prem to cloud migrations to reduce time, complexity, and cost.

“With the adoption of cloud, containers, and DevOps processes, today’s IT environments are in constant flux,” said Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC. “By bringing constant innovation to the BMC Helix platform, we’re helping customers in their ADE journey through improved visibility, management, and availability for more accurate decision-making and better performance.”

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BMC Helix Updated

BMC announced new operations management features and capabilities for the BMC Helix solution designed to increase decision-making accuracy and accelerate mean-time-to-repair (MTTR) through early detection, operational intelligence, and resource optimization.

- Increases Visibility and Management: The BMC Helix Discovery solution, allows customers to gain instant visibility into hardware, software, and service dependencies across multi-cloud, hybrid, and on-premises environments, including the ability to securely and efficiently identify Google Virtual Machines that do not have public IP addresses. Also, enterprises with mainframe assets can secure deeper insights into the dependencies and interactions between components and distributed resources for more effective modeling, leading to improved decision-making accuracy and service assurance. In addition, intelligent integrations augment discovery information with rich asset and dependency information from third-party data sources such as application performance monitoring (APM) tools and configuration management databases (CMDBs).

- Improves Performance and Availability: The new BMC Helix Operations Management solution’s integration capabilities enable AIOps to consume service models that enhance situational and root cause analysis to quickly resolve event alerts and accelerate MTTR. Additionally, service modeling reduces complexity and accelerates time-to-value with an innovative blueprint-based, automated capability.

- Predicts Future Resources for Business Demands: To improve resource right-sizing and align to future business needs, the BMC Helix Continuous Optimization solution uses advanced analytics that accurately forecast business driver growth with existing capacity. Dynamic service model integration increases visibility into business service health using a comprehensive consolidated view of application and infrastructure data. Additional functionality increases decision-making accuracy when planning for on-prem to cloud migrations to reduce time, complexity, and cost.

“With the adoption of cloud, containers, and DevOps processes, today’s IT environments are in constant flux,” said Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC. “By bringing constant innovation to the BMC Helix platform, we’re helping customers in their ADE journey through improved visibility, management, and availability for more accurate decision-making and better performance.”

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Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

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I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

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