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BMC Helix Service and Operations Management Adds Generative AI

BMC unveiled generative AI enhancements to the BMC Helix Service and Operations Management platform.

This provides an intelligent assistant for service desk personnel and IT operators that enables them to solve complex system issues with greater speed and efficiency.

The BMC HelixGPT solution uses integrated large language models (LLMs) to harmonize traditionally siloed data sources, deriving actionable insights for anomalies and autonomous resolution of mundane issues. This groundbreaking technology is being deployed in four key areas, to support digital and IT operational efficiency:Manage and operate secondary storage seamlessly.

- Plain-language summaries – BMC Helix Operations Management generates plain-language summaries, making it quicker and simpler for IT operators to understand an issue rather than decoding a string of output error codes, saving time and effort.

- Proactive problem solving – BMC Service Management generates one or multiple resolution summaries to speed root cause analysis of future problems.

- Faster problem identification and resolution – BMC Service Management automatically correlates hundreds of incidents helping service delivery teams find and resolve issues faster.

- Smarter virtual agents – Incubated in the BMC Innovation Labs, the BMC Service Management virtual agent analytics run clustering analysis on chat archives to find new or improved utterances to help virtual agents better answer and execute workflows associated with requests like ordering guest wifi or seeking guidance on clearing cache.

By using Service Model Blueprints to map common business services, the BMC Helix Operations Management solution accelerates analysis and MTTR (mean time to resolve) through historic analysis of a user’s specific environment. Recurring situations are fingerprinted for easier future identification, reducing staff time and effort. And, using AI/ML, the solution’s enhanced service insights watch over applications to spot signs of trouble and take appropriate action.

Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC said: “By integrating generative AI technology into our BMC Helix platform, we’re helping our customers achieve digital operational efficiency like never before – and we’re just getting started.”

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BMC Helix Service and Operations Management Adds Generative AI

BMC unveiled generative AI enhancements to the BMC Helix Service and Operations Management platform.

This provides an intelligent assistant for service desk personnel and IT operators that enables them to solve complex system issues with greater speed and efficiency.

The BMC HelixGPT solution uses integrated large language models (LLMs) to harmonize traditionally siloed data sources, deriving actionable insights for anomalies and autonomous resolution of mundane issues. This groundbreaking technology is being deployed in four key areas, to support digital and IT operational efficiency:Manage and operate secondary storage seamlessly.

- Plain-language summaries – BMC Helix Operations Management generates plain-language summaries, making it quicker and simpler for IT operators to understand an issue rather than decoding a string of output error codes, saving time and effort.

- Proactive problem solving – BMC Service Management generates one or multiple resolution summaries to speed root cause analysis of future problems.

- Faster problem identification and resolution – BMC Service Management automatically correlates hundreds of incidents helping service delivery teams find and resolve issues faster.

- Smarter virtual agents – Incubated in the BMC Innovation Labs, the BMC Service Management virtual agent analytics run clustering analysis on chat archives to find new or improved utterances to help virtual agents better answer and execute workflows associated with requests like ordering guest wifi or seeking guidance on clearing cache.

By using Service Model Blueprints to map common business services, the BMC Helix Operations Management solution accelerates analysis and MTTR (mean time to resolve) through historic analysis of a user’s specific environment. Recurring situations are fingerprinted for easier future identification, reducing staff time and effort. And, using AI/ML, the solution’s enhanced service insights watch over applications to spot signs of trouble and take appropriate action.

Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC said: “By integrating generative AI technology into our BMC Helix platform, we’re helping our customers achieve digital operational efficiency like never before – and we’re just getting started.”

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...