PREDICTION FOR BUSINESS SERVICE ASSURANCE ZIF comprises of 5 modules, as outlined below.
Vasudevan Gopalan Artificial Intelligence for IT operations or AIOps has exploded over the past few years. As more and more enterprises set about their digital transformation journeys, AIOps becomes imperative to keep their businesses running smoothly. AIOps uses several technologies like Machine Learning and Big Data to automate the identification and resolution of common Information Technology (IT) problems. The systems, services, and applications in a large enterprise produce volumes of log and performance data. AIOps uses this data to monitor the assets and gain visibility into the behaviour and dependencies among these assets. According to a Gartner publication, the adoption of AIOps by large enterprises would rise to 30% by 2023. ZIF – The ideal AIOps platform of choice Zero Incident FrameworkTM (ZIF) is an AIOps based TechOps platform that enables proactive detection and remediation of incidents helping organizations drive towards a Zero Incident Enterprise™.
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At the heart of ZIF, lies its Analyze and Predict (A&P) modules which are powered by Artificial Intelligence and Machine Learning techniques. From the business perspective, the primary goal of A&P would be 100% availability of applications and business processes. Let us understand more about the Predict module of ZIF. Predictive Analytics is one of the main USP of the ZIF platform. ZIF encompasses Supervised, Unsupervised and Reinforcement Learning algorithms for realization of various business use cases (as shown below).
