Customized for your Business
Machine Learning Software for IT
Log Parsing
Deep learning techniques developed in the field of Natural Language Processing (NLP) allow for new ways of parsing raw log data into structured templates. They outperform current log parsing methods, generalize well over different log types, and don't rely on log specific heuristics or manually specified rules.
Anomaly Detection from System Logs
The manual analysis of the large amount of data produced by increasingly complex software systems is unfeasible. Machine Learning models can be used to detect and classify unexpected log sequences or log events and thus detect anomalous behavior. At the same time, they are robust to changing or additional log messages introduced by, for example, new software versions.
Forecasting of performance metrics
Machine Learning algorithms learn well from historical data. They can be used to make predictions on the metrics of the IT infrastructure you are interested in, like availability or resource utilization.
FAQ
Why dida?
We are a software company specialized in Algorithms and Machine Learning (ML) and most of our 30+ employees have a scientific background in Mathematics and Physics. We follow the developments in ML research and have multiple years of experience bringing this knowledge to customers and into production.
Why a customized solution?
No Machine Learning task is alike. The data that is available and the requirements always differ and might not be captured by off-the-shelf software. From us, you get an individual solution. You own the code, the data and we integrate it into your current software environment.
What do we offer?
We offer initial proof of concepts and the complete development of production software. Due to the experience and background of our team, we can as well offer larger research projects.
I am new to Machine Learning
In our Tech Lunch, we will give you 45 minutes of information on a ML topic of your choice.
I have a project idea already
In our ML Expert Talk, you will get 1 hour of consultation & discussion about your specific use case.
Not sure? Pick the first option.
Your dida-Partner:
Petar Tomov
ML Project Manager
I am new to Machine Learning
I have a project idea already