Six Tips for Starting your AIOps Journey

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26 de fevereiro de 2021

New IT technologies have modified users’ behavior with quick and effective responses to each demand; understanding and building your AIOps Journey is a natural step in this process. Combining agility and assertiveness in IT operations presupposes disruptive models and a large volume of information. In recent years, the solution found by successful companies is the deployment of Artificial Intelligence for IT Operations (AIOPs)   problems.

The term AIOps was crafted by Gartner in 2015 for multi-tier applications that bring together, in the same system, solutions such as machine learning,  big data, and analytics. In this way, you can simultaneously connect and manage multiple data sources and multiple devices. It is currently the best alternative for businesses to keep environments available, safe, and in continuous operational activity for both teams and customers. According to Gartner, Artificial Intelligence in IT tasks will increase from 5% in 2018 to 30% by 2023.

The implementation of AIOps solutions fit very well into DevOps’ continuous delivery culture,  ensuring a new and effective form of IT management. One of the significant gains for the businesses is managing teams and processes with more collaboration and fluidity will boost performance and results. With AIOps, it is possible to monitor the data continually, and, thus, both trends and dysfunctions are identified more quickly, enabling an immediate action or even a preventive one. The entire process chain is automated and optimized, allowing cost and team reduction and increasing business security. 

Check out our six tips to help put your business on the AIOPS journey:

Tip one: Expand your Knowledge of AI

Invest in knowing the Artificial Intelligence resources that suit your company. This will make it easier to define which methodology to implement. 

Tip two: Apply proofs of concept

From the knowledge acquired, implement proofs of concept to test the solutions and, once aligned, can move to other sectors and processes. 

Tip three: Request collaboration

Include employees and managers from various areas in the proof of concept to expand the skills of solutions and identify gaps and gaps that need to be improved. 

Tip Four: Perform analysis and data management

The company’s various areas have a considerable amount of data that can be leveraged to analyze problems and statistics required for AIOps implementation.

Tip Five: Prepare infrastructure

The IT infrastructure must be prepared to support the consistent automation architecture of AIOps solutions. 

Tip Six: View evolution

The trend in AIOps frameworks is incorporating new processes and workflows. Therefore, it must be predicted how developments will occur during implementation and thus ensure continuous development delivery. 

Learn about the Simon solution from the 4Biz platform. Schedule with one of our consultants right now and learn how to revolutionize your company’s IT through AIOps.

Reference:
https://www.amazon.com.br/Accelerated-DevOps-AI-RPA-Non-Programmers-ebook/dp/B07ZMJCJRS