Customized for your business:
Machine Learning Software for the Telecommunication Industry
Price optimization
The telecommunication industry is extremely competitive and has a price market that changes constantly. Machine Learning (ML) can help to create a price strategy that determines the best price for each service, based on each customer’s information, new trends, competition, and much more.
Customer Churn Prediction
Retaining existing customers is cheaper than acquiring new ones. Machine Learning can help to identify customers that are more likely to choose another company. It can also make use of customer data to make personalized product recommendations. In this way, it is possible to take action to reduce churn rates.
Network automation
Machine Learning techniques can support network maintenance. Combining data from sensors and on-site images of equipment and infrastructure, ML algorithms can analyze performance, detect problems and help to optimize and automate networks.
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 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