How can companies manage operational processes more effectively and quickly?
This question is becoming increasingly common, as it can be difficult to manage in an increasingly complex IT world. This is where AIOps comes in, a concept that uses artificial intelligence, machine learning and big data to develop innovative solutions. As a result, the monitoring and automation of IT processes can be improved efficiently.
Find out here what functions AIOps performs and why it will be so important in the future.
AIOps was named by the market research company Gartner in 2016. According to Gartner, AIOps platforms combine large amounts of data with artificial intelligence (AI) and machine learning (ML) technologies to optimize processes. Find out more about AI in our blog post “AI in the IT world: the growth revolution of the future”.
AIOps stands for “Artificial Intelligence for IT Operations” and characterizes the use of AI, ML and Big Data. This combination enables efficient monitoring, optimization and automation of IT processes. Operational processes include backing up data, monitoring performance and planning IT tasks. AIOps enables very large volumes of data to be analyzed, allowing the causes of potential problems to be identified and rectified in a targeted manner. This process saves a considerable amount of time, allowing companies to work more efficiently and have more time for important tasks.
2 types of AIOps with different requirements:
The most important functions:
Large, complex networks are creating more and more challenges. This makes network management very difficult to manage. Traditional tools and methods are often inadequate and reach their limits when dealing with large volumes of data. With AIOps, IT processes can be structured faster and more precisely by:
Areas of application for AIOps:
Many providers offer 'AIOps platforms', which are just a combination of traditional IT operations tools and basic AI. However, a true AIOps platform is more than just a collection of tools.
When choosing a vendor, you should consider comprehensive features, including data collection, data storage or data access. Looking at case studies from the provider will help you gain insight into how similar companies have used AIOps. Providers should show concrete references and successes with AIOps platforms.
Revolutionize the way you manage your business by integrating AIOps. Benefit from predictive error detection, optimized data analysis and automated solutions through AI and ML. Save time and operating costs with the new technology and improve your IT performance and IT infrastructure. Find out how you can further expand your IT infrastructure in our blog post “Build IT infrastructure and benefit from improved processes”.
AIOps will become an indispensable tool in the future. It not only increases your efficiency, but also ensures competitive advantages and improved customer satisfaction.
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