Project 02
Telia - Area of ML Services
Business Challenge:
In their quest to stay competitive and innovative, they needed a ML platform so that data scientists could experiment and release functionalities. Data scientists and business analysts came from different teams in different countries with different technical backgrounds meaning that a multi purpose and intuitive platform was needed in place.
Project Description:
Develop and mature the ML platforms so application teams can use them confidently for their data analysis processes. They should be able to experiment, release complex models to stage and production.
How we helped:
We worked with data scientists from different teams on releasing ML platform functionalities so application teams could leverage the ML platform for doing their data analysis processes. Our principal contribution was to seamlessly integrate the data foundation platform with the ML platforms by architecting and defining the usage of Sagemaker Feature Store. We also contributed actively in MLOps, extending, supporting and maintaining the aspects of the ML platforms to make it intuitive.
tech stack
VALUE
More than 20 data scientists from different countries and business units could use the platform for experimenting, developing and releasing predictive models for detecting when a client (out of the 25M) will churn based on existing behavioral data or internal processes of incidences and how they impact. Telia could act upon it proactively and secure for more months the client by offering discounts, gifts or vouchers. Imagine reducing the churn rate from the average industry in Telco from 12% to 10% by proactively improving your services.
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