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BMC Embeds GPT Across AI-Driven Service and Operations Management Portfolio

BMC announced the expansion of its generative AI capabilities, embedding them into its entire AI-driven service and operations management portfolio.

The BMC HelixGPT solution connects and distills data sources across the enterprise to deliver plain-language, actionable insights for autonomous resolution by connecting AIOps, DevOps, and ServiceOps.

Powered by large-language models (LLMs), the BMC HelixGPT solution reads data in real time and applies pattern-based decision logic and intuitive reasoning to revolutionize incident resolution and automate interactions supporting valuable use cases, including:

- Conversational engagement and search—Offers end users the ability to communicate naturally with virtual agents and chatbots by fully understanding queries and sharing responses within a larger context with greater accuracy and speed. It integrates information across the BMC Helix Digital Workplace, BMC Helix Knowledge Management, and BMC Helix Virtual Agent solutions. IT teams benefit from an improved self-service experience, reducing the number of incoming service requests.

- Event and incident summaries—Integration with BMC Helix solutions for AIOps helps enterprises recover faster from service outages by correlating incidents and applying “chain of thought reasoning” to generate recommendations for quick resolution. This streamlines the process by providing concise, plain-language summaries of how issues were resolved.

- Resolution insights—Ingests all enterprise data, including historical and current case data, across enterprise service management and IT operations management to determine a more optimized process. The BMC HelixGPT solution learns and stores these insights for future reference and automated remediation, saving teams valuable time. In addition, it can use combined operations and service management ticket data to make best-action recommendations.

Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC, said, “By embedding generative AI across the BMC Helix portfolio, our customers can simplify complexity and fuel productivity intelligently which we think can revolutionize how people communicate and engage with technologies like chatbots, virtual agents, and more. We believe our BMC Helix customers should have equal access to these game-changing capabilities.”

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BMC Embeds GPT Across AI-Driven Service and Operations Management Portfolio

BMC announced the expansion of its generative AI capabilities, embedding them into its entire AI-driven service and operations management portfolio.

The BMC HelixGPT solution connects and distills data sources across the enterprise to deliver plain-language, actionable insights for autonomous resolution by connecting AIOps, DevOps, and ServiceOps.

Powered by large-language models (LLMs), the BMC HelixGPT solution reads data in real time and applies pattern-based decision logic and intuitive reasoning to revolutionize incident resolution and automate interactions supporting valuable use cases, including:

- Conversational engagement and search—Offers end users the ability to communicate naturally with virtual agents and chatbots by fully understanding queries and sharing responses within a larger context with greater accuracy and speed. It integrates information across the BMC Helix Digital Workplace, BMC Helix Knowledge Management, and BMC Helix Virtual Agent solutions. IT teams benefit from an improved self-service experience, reducing the number of incoming service requests.

- Event and incident summaries—Integration with BMC Helix solutions for AIOps helps enterprises recover faster from service outages by correlating incidents and applying “chain of thought reasoning” to generate recommendations for quick resolution. This streamlines the process by providing concise, plain-language summaries of how issues were resolved.

- Resolution insights—Ingests all enterprise data, including historical and current case data, across enterprise service management and IT operations management to determine a more optimized process. The BMC HelixGPT solution learns and stores these insights for future reference and automated remediation, saving teams valuable time. In addition, it can use combined operations and service management ticket data to make best-action recommendations.

Margaret Lee, SVP and GM of Digital Service and Operations Management at BMC, said, “By embedding generative AI across the BMC Helix portfolio, our customers can simplify complexity and fuel productivity intelligently which we think can revolutionize how people communicate and engage with technologies like chatbots, virtual agents, and more. We believe our BMC Helix customers should have equal access to these game-changing capabilities.”

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

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