AIOps - Cloud Monitoring
Predict the behavior of your network devices.
Hubble’s proprietary algorithms can analyze historical data of a network element or link and predict future issues based on its performance, timeouts, availability, and MTBF. This allows managers to be one step ahead of the failures and prevent future errors.
In BlueSmile Technology we can help you find your ideal solution in English, Spanish and/or Portuguese!
An agile and reliable AIOps tool
How was our ML algorithm developed in BlueHubble?
BlueHubble developed an automation module using LSTM Algorithms with Keras and TensorFlow. These algorithms can analyze historical data from a device or link based on its performance, wait times, availability, and MTBF to project future issues.
Developed under the concepts of Big Data and descriptive, predictive and prescriptive diagnostic analytics. Hubble's Machine Learning algorithms allow you to detect problems even before it affects your network performance.
How does machine learning benefit your company?
Only 4% of large companies in telecommunications and other industries use machine learning in their operations, mainly for Big Data analysis. Despite this reduced integration, this discipline within Artificial Intelligence may have some revolutionary applications.
Organizations that are making use of this technology are already enjoying its benefits. Among them, the following stand out:
Optimization of Big Data analysis:
Machine learning allows you to process the large amount of data that is produced every day in your network elements, facilitating decision making based on the information contained in them.
Improved consumer experience:
Patterns in the behavior of your network can be recognized, offering information of your interest to improve the operation of your network.
One dashboard to rule them all:
BlueHubble can be used as a centralized dashboard that hosts all the network monitoring processes in only one dashboard, this has been especially helpful for mining and tech companies among others. Consequently, these companies do not have to bother using multiple tools and complex dashboards to monitor their multi-vendor network. BlueHubble allows to achieve this with a simple setup process.
Process automation:
This technology allows repetitive activities to be performed much more efficiently. In this way, tasks that were previously performed manually can be automated, reducing costs in time and money for companies.
Cybersecurity:
Machine learning makes it possible to recognize abnormal behavior patterns in online operations that represent threats to an organization.
Machine Learning benefits:
-
![]()
Prevents problems in your network
-
![]()
Projects different scenarios so you are always prepared
-
![]()
Analyzes and predicts network upgrades
Simple solutions for complex situations
Integrating AIOps into IT workflows is a relatively simple task that quickly delivers automation and simple solutions. As the platform processes more data and continues to learn, these functions become increasingly sophisticated. AIOps accelerates digital transformation by providing better endpoint management, smarter help desk tools, efficient infrastructure monitoring, effective IT security methods, and accurate decision making and corrective actions.
Easy application of BlueHubble integrated AIOps for IT operations
Blue Hubble has predictive algorithms that are one step ahead of possible errors. Blue Hubble uses historical data collected from networking equipment to predict future behavior. So network administrators can prevent errors, bottlenecks and failures using Blue Hubble's AI OPS tools.
By implementing BLUEHUBBLE solutions with machine learning technology and data analytics capabilities, your IT teams can:
