• Splunk: AIOps is the practice of applying analytics and machine learning to big data to automate and improve IT operations. AI can automatically analyze massive amounts of network and machine data to find patterns, both to identify the cause of existing problems and to predict and prevent future ones. (Source: https://www.splunk.com/en_us/data-insider/ai-for-it-operations-aiops.html )
  
• ServiceNow: AIOps is a combination of the terms artificial intelligence (AI) and operations (Ops). More specifically, it represents the merging of AI and ITOps, referring to multi-layer tech platforms that apply machine learning, analytics, and data science to automatically identify and resolve IT operational issues. ( https://www.servicenow.com/products/it-operations-management/what-is-aiops.html )
  
• New Relic: AIOps augments the value you get from monitoring by providing an intelligent feed of incident information alongside your telemetry, and applying AI and ML to analyze and take action on that data, so you can troubleshoot and respond to problems faster. ( source: https://newrelic.com/blog/best-practices/what-is-aiops )
  
• BMC: AIOps helps find and fix business application problems with capabilities ranging from advanced probable cause analysis to intelligent automation. ( source: https://www.bmc.com/learn/what-is-aiops.html )
  
• CIO.COM: AIOps, is helping enterprises head off potential outages and performance issues before they negatively impact operations, customers, and the bottom line. But the more advanced deployments are beginning to use AI systems not just to identify issues, or to predict issues before they happen, but to react to events with intelligent, automated mitigation. (Source: https://www.cio.com/article/196239/what-is-aiops-injecting-intelligence-into-it-operations.html )
  
• Dynatrace: AIOps helps ITOps, DevOps, and SRE teams work smarter and faster (source: https://www.dynatrace.com/monitoring/platform/aiops/)
  
• IBM: By integrating multiple separate, manual IT operations tools with into a single, intelligent, and automated IT operations platform, AIOps enables IT operations teams to respond more quickly—even proactively—to slowdowns and outages, with end-to-end visibility and context. (source: https://www.ibm.com/cloud/learn/aiops )
  
• eWeek: To understand AIOps, it helps to consider one very weird thought: the technological systems that we humans have built have become too complex to be managed by mere humans. Specifically, the IT operations that run businesses have galloped forward in complexity, leaving their human masters in semi-bewilderment. It’s a great irony of human intelligence: we’ve built IT systems that are so advanced that they are, in essence, overwhelming us. (source: https://www.eweek.com/big-data-and-analytics/what-is-aiops/ )
  
• PagerDuty: According to Gartner, Artificial Intelligence for IT operations (AIOps) is a broad category that comprises the use of big data, machine learning, and analytic insights to automate and accelerate the identification and resolution of IT issues (Source: https://www.pagerduty.com/resources/learn/what-is-aiops/ )
  
• Sumo logic: AIOps is the newest type of software tool meant to address the needs of IT operations teams in today’s cloud-based enterprise IT environment. AIOps standards for “artificial intelligence for IT operations”, and it essentially refers to the use of artificial intelligence, machine learning, and pattern recognition to perform and automate tasks that would normally be executed by IT operations. (source: https://www.sumologic.com/glossary/aiops/ )
  
• BigPanda: Ingest. Discover. Correlate. Recognize. Remediate. ( source: https://www.bigpanda.io/solutions/aiops/ )
  
• Coursera: At its core, AIOps is all about leveraging advanced analytics tools like Artificial Intelligence (AI) and machine learning (ML) to automate IT tasks quickly and efficiently. Rather than replacing workers, IT professionals use AIOps to manage, track, and troubleshoot the increasingly complex problems associated with the widespread adoption of digital platforms and tools by businesses. (source: https://www.coursera.org/articles/aiops )
  
• Broadcom: AIOps stands for Artificial Intelligence for IT Operations. AIOps is the application of machine learning (ML) algorithms and data science to establish proactive, automated remediation capabilities that help IT teams deliver superior digital experiences, while offering fundamental breakthroughs in scale and efficiency. It enables a move away from siloed IT operations management and provides intelligent insights that drive automation and collaboration for continuous improvement. (source: https://www.broadcom.com/solutions/enterprise-software/aiops)
  
• Moogsoft: Artificial intelligence for IT Operations (AIOps) is the application of AI, and related technologies, such as machine learning and natural language processing (NLP) to traditional IT Ops activities and tasks. (source: https://www.moogsoft.com/resources/aiops/guide/everything-aiops/ )