AIOps in 2020: A Beginner's Guide
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AIOps, or artificial intelligence for IT operations, integrates analytics and machine learning to enhance IT processes and support continuous integration and deployment. It shifts the focus from isolated data to a more dynamic business environment, benefiting digital transformation by improving monitoring, automation, and service desk functions. AIOps aims to meet user expectations through increased speed and coordination, facilitating agile decision-making and communication.
AIOps in 2020: A Beginner's Guide
- 1. The term AIOps which is considered as Artificial Intelligence for IT Operations was coined by a research company refers to the integration of analytics and machine learning for scaling and enhancing the various IT operations.
- 2. AIOps (Artificial Intelligence for IT Operations ) is simply positioned as continuous integration and continuous deployment for core IT functions and holds two main components- colossal data and machine learning (ML). It represents a shift from isolated data to a more compelling business environment which will be beneficial for digital transformation.
- 3. Artificial Intelligence for IT operations, software platforms use cutting-edge computing technologies like ML (machine learning) and advanced analytics to support IT operations in three major areas: Monitoring Automation Service Desk
- 4. Now, if we talk about the benefits of AIOps is that it usually sets the operations of IT up to and perform with the level of speed and coordination that end the users' expectation and requirement. On some model-based processes, mushrooming the specialization into disengaged silos
- 5. The "Digital Transformation" is the paradigm shift from legacy IT infrastructure to more dynamic frameworks that permit continuous improvement, agility, instant communication, and data-backed decision making.
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