In this Case Study

A large US Telco provider, who is also a world leader in communications, media and entertainment, was facing multiple challenges related to advanced AI/ML. It was difficult for them to find data scientists with telecom experience, predict complex telecom use cases such as subscriber churn rate, call volume and more. At the same time, productizing machine learning models was becoming a challenge.

Download the case study to know how they implemented Infosys Nia to build an enterprise grade ML collaboration platform for data scientists, data engineers, business analysts. Infosys Nia helped predict various metrics such as subscriber churn, weekly demands and more. The company was able to get access to best trained models from multiple Auto-ML tools and optimize model selection process by 50%.

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