OpenText™ AI Operations Management (Operations Bridge) is enterprise event and performance management software. With automated discovery, monitoring, and remediation, it fast-tracks your move to full-stack AIOps across multicloud and on-premises environments.

AIOps is the multi-layered application of big data analytics, AI, and machine learning to IT operations data. The goal is to automate IT operations, intelligently identify patterns, augment common processes and tasks, and resolve IT issues.

Enter OpenText™ AIOps and observability solutions—your secret weapons against complexity and resource strain. With near instant-on SaaS or on-premises options, you can control your IT infrastructure, supercharge your applications, and deliver for your business.

Artificial intelligence for IT operations (AIOps) is a process where you use artificial intelligence (AI) techniques maintain IT infrastructure. You automate critical operational tasks like performance monitoring, workload scheduling, and data backups.

2024年12月25日 · AIOps，即人工智能运维（Artificial Intelligence for IT Operations），是将人工智能技术应用于 IT 运维领域，以实现自动化、智能化的运维管理。 它通过整合大数据、机器学习等先进技术，对海量运维数据进行实时分析，从而快速识别、诊断和解决问题。 不同的人、机构对它有着不同的阐释。 比如，Gartner 认为 AIOps 平台是结合大数据、 人工智能 （AI）或机器学习功能的软件系统，用以增强和部分取代广泛应用的现有 IT 运维流程和事务，包括可用性和性 …

AIOps (Artificial Intelligence for IT Operations) refers to the use of artificial intelligence, machine learning, and big data analytics to automate and enhance data center management. It helps organizations manage complex IT environments by detecting, diagnosing, and resolving issues more efficiently than traditional methods. [1]

2023年4月10日 · Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big data generated by IT Operations processes, particularly in cloud infrastructures, to provide actionable insights with the primary goal of maximizing availability.

Artificial intelligence for IT operations, or AIOps, is the application of artificial intelligence (AI) capabilities—such as natural language processing and machine learning models—to automate, streamline and optimize IT service management and operational workflows. AIOps leverages big data, analytics and ML capabilities to:

2025年1月12日 · We discuss the key requirements for such a holistic framework and demonstrate how AIOPSLAB can facilitate the evaluation of next-generation AIOps agents. Through evaluations of state-of-the-art LLM agents within the benchmark created by AIOPSLAB, we provide insights into their capabilities and limitations in handling complex operational tasks ...

AIOps 是将大数据分析和机器学习多层次地应用于IT 运营数据。其目标是实现 IT 运营自动化、智能识别模式、增强常见流程和任务并解决 IT 问题。AIOps 将服务管理、性能管理、事件管理和自动化结合在一起，以实现持续的洞察和改进。