Modernize and turn IT operations with solutions based on the sole platform of Data-to-Everything, Reduce time for reporting and rapidly fix complicated issues, so the staff can concentrate on what counts.
The Data-to-Everything Platform, empowers customers to use this explosion as an opportunity to drive performance, productivity, insights, and automation. To transform knowledge into action, from anywhere in the business.
This unique approach helps to improve a wide variety of processes and tasks for IT operations and enables enterprises to achieve value that is not possible through human analysis alone.
Fast problem diagnostic system
Uncover secret insights and more easily identify root causes by correlating in real time a large amount of data through silos and resources.
Get insights where you work
In boost communication and speed decision-making, surface observations and next-best-action suggestions the current workflows.
Be confident in your decisions
Empower the team with straightforward and clearly explained AI decision-making to concentrate on higher work values.
Cut through the noise
With intelligent warning classification, stop notifications and find the root of the issue with topology insights.
Integrate with your toolchain
Enhance your existing AI environment that integrates easily with best-in-IT monitoring and ChatOps software.
Deploy where you want
Get access to innovative AI capabilities or preferred deployment option on your cloud of choice.
AlxTel is a reliable pioneer in AIOps
As part of a comprehensive control, event management, power and automation approach, AlxTel solutions deploy machine learning and advanced analytics to deliver use cases for AIOps that make IT Ops operate at the pace that digital business demands.
Reduce event noise by 90%.
Predictively alert to reduce incidents by 40%.
Reduce time to identify root cause by 60%.
Automate event remediation to reduce MTTR by 75%.
Key requirements of AIOps software
It goes beyond having better analytics for existing data to introduce an AIOps strategy. Building the foundations for a system of machine learning that will deliver continuous insights requires.
Open data access
Including multiple historical streaming IT data sources.
That learn behavioral patterns of data and yield automated insights.
To act on analytical insights and engage with the ITSM Service Desk.