BMC Software | Blogs 09月29日
AI赋能IT运维,释放数据价值
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IT服务和运营团队正通过引入现代技术来提升工作效率。人工智能(AI)能够减少重复劳动,识别和总结关键信息,并提供建议,从而使IT组织更有效地利用其专业技能。然而,在工作中收集的数据往往在完成即时任务后被低估或忽略。AI技术正在改变这一现状,帮助释放和扩展数据的潜在价值。通过智能分析工具,即使非专业人员也能通过自然语言查询,快速获取并理解海量IT运维数据,从而做出更明智的决策,优化流程,并最终为企业带来转型性的价值。

💡 **AI驱动数据价值释放**:IT运维工作中产生的大量交易数据,如事件、故障和变更请求记录,在完成即时处理后仍具有巨大的二次价值。AI技术能够解锁这些数据,通过分析数千甚至数百万条记录,为人员、流程和系统提供宝贵洞见,支持明智决策和战略规划。

bottlenecks**:传统的数据分析依赖于专业的报告工具和复杂的数据库知识,这常常导致信息获取的瓶颈。增加分析人员数量也难以根本解决问题,因为有效的数据分析会产生“诱导需求”,使需求超出供给能力。AI驱动的解决方案能够 democratize 数据访问,让更多人能够自行获取所需信息。

🚀 **BMC HelixGPT Insight Finder 赋能用户**:作为BMC Helix平台的一部分,Insight Finder 是一个代理式AI助手,它允许任何操作数据消费者通过简单的对话,从大型数据集中获取深度和广泛的洞察。用户可以用自然语言提出数据需求,AI助手会将其转化为数据查询,并以可视化形式呈现信息,无需专业的数据分析技能,从而极大提高效率和自主性。

IT service and operations teams increasingly benefit from enriching their work systems with modern technology. Artificial intelligence (AI) reduces toil, identifies and summarizes important information, and makes recommendations, enabling IT organizations to focus their critical skills more effectively. However, the data collected during this work is frequently underutilized or overlooked once its immediate purpose is complete. AI can help unlock and extend its value.

Data, data everywhere

Transactional data records used by IT management tools have two distinct phases of value. First, a data object is created to describe and categorize the scenario and to manage a resolution to completion. Some familiar examples of the “tickets” created in these scenarios are detected infrastructure events, incidents, and change requests.

Once the work is completed, there is a second, extended value phase. The ticket data stored about the work becomes a small component of a large, aggregated set of information. Over weeks and months, organizations accumulate thousands or even millions of these transactional records. The result is a dataset with the vast potential to provide valuable information about the people, processes, and systems involved in day-to-day activities. Collectively, this information is a rich resource for organizational improvement, enabling intelligent decisions, informed strategies, and accurate answers to inquiries.

The data analysis bottleneck

Unlocking the value within this data has long been a specialist skill, requiring dedicated reporting tools and a knowledge of complicated database structures. This challenge can create a bottleneck, with the demand for fast information often exceeding the capacity of reporting teams to provide it.

Simply increasing the number of people dedicated to data analysis does not usually solve the problem. Many organizations have experienced an induced demand effect, where the benefits of effective data analytics lead more people want those services. The more successful reporting teams are in delivering valuable insights, the more the demand increases for their time and skills.

Unlocking and extending the value of IT data

However, just as AI has enabled optimization of the active phase of a data record’s life, the technology is now transforming this secondary phase, too. As one of the agentic AI assistants in the BMC Helix platform, BMC HelixGPT Insight Finder enables any consumer of operational data to gain deep and broad insights from large datasets simply by conversing with the assistant. This practical use of generative AI (GenAI) helps employees fulfill their own data needs, rather than joining the back of the work queue of a specialist data analysis team.

BMC HelixGPT Insight Finder allows consumers to simply ask for the data they need in plain language. The fine-tuned agentic AI assistant translates those requests into the data queries required to retrieve appropriate information, then presents the information to the user via visualizations. This AI assistant easily combines multiple data sources into structured insights, reducing the need for complex query building.

The conversation can also continue beyond the first response. Upon receipt of the initial presentation of data, the user can ask for deeper analysis, clarifications, or additional queries. These secondary insights are gained instantly, once again without needing to access the reporting team.

The transformative value of AI

The skills of expert data analysis teams are too valuable to be used in repetitive reporting work. As enterprises and large organizations continue seeking ways to increase the value of their data through new technologies, GenAI is taking center stage. Providing enterprise teams with an AI-driven facility to fulfill most reporting needs liberates expert data analysts from routine request fulfillment. Solutions like BMC HelixGPT Insight Finder make everyone in the enterprise a data expert so enterprises can yield differentiating and transformational value from the vast storage of data collected every day.

Click here to discover how agentic AI can transform your enterprise data into a proactive force that improves business results or contact BMC Helix.

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IT运维 人工智能 数据价值 AI BMC Helix Generative AI IT Operations Artificial Intelligence Data Value
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