Speaker "Khosrow Hassibi" Details Back
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Name
Khosrow Hassibi
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Company
R Systems Inc
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Designation
Chief Data Scientist
Topic
Prediction of tonnage for WiFi Access Points for better placement and optimization
Abstract
For Telcos, optimal WiFi access points’ (AP) placement is of great importance in terms of coverage to ensure good customer experience. A lot of planning is done to select the new AP locations and to optimize the existing APs’ usage. Big data infrastructures are already in place to collect and store session data for each AP, across all user devices. This big data has many different use cases from a data science perspective. There are different predictive metrics that can assist in planning and deployment of new APs and tuning of the existing ones. In this presentation, I explain what modeling approaches were taken into consideration using forecasting, classification, and estimation techniques and how they could be used to address the business operational problems of interest.