Session: How we built a Personalized Ecosystem to Create Pure Joy for 100+ Million PlayStation Users
Since its inception in 1994, Sony PlayStation has garnered a dedicated user base of over 123 million individuals. Today, with 60-80 million monthly active users on our platform, and a surge during peak holiday seasons, we are committed to providing highly personalized and engaging experiences to our passionate gaming community. This dedication is fueled by our robust machine learning models, experimentation platforms, and real-time data analytics systems, all geared towards catering joy to our users.
This session aims to provide valuable insights into advanced technologies, data-driven insights, innovative strategies, and the transformative power of personalization in the gaming landscape. The attendees will walk away with an overview of the architecture of real-time ML-driven personalized systems.
Bio
Gaganjot Kaur Kang is a Senior Software Engineer at Sony PlayStation in the San Francisco Bay Area, California. With over ten years of experience in the technology industry and five-plus years at Sony, Gaganjot has been committed to designing and developing scalable, fault-tolerant, and data-intensive back-end systems.
At Sony PlayStation, her primary focus lies in creating immersive and seamless user experiences for the millions of passionate gamers who engage with the platform worldwide. In addition, she has also been focused on data engineering, particularly in managing the vast volumes of data generated by users interacting with PlayStation consoles. Her responsibilities involve leveraging advanced analytics and engineering techniques to harness terabytes of data effectively, enabling informed decision-making and continuous improvement of the PlayStation ecosystem.