Abstract: 

In the last decade, globally, smart city initiatives have been growing significantly. In essence, smart city is the utilization of innovation and technology to solve complex and diverse urban challenges. The actual applications and implementations can be diverse across cities and countries. In this context, data analytic is one of the fundamental elements of a successful smart city. Integrating, analyzing and delivering concrete values from diverse urban data are the key objectives of data analytics in smart city context. The results will be seen from the improvement of public policies and public services.

In this session, we will learn from the journey and case study from Jakarta Smart City. Advanced analytics and data science techniques have been leveraged for video analytics (object detection), predictive modeling (COVID-19, transportation, flood, citizen aspiration) and clustering. Beyond the core technical modeling and execution, the speaker will elaborate about the digital talent management and cross-agencies collaboration as well. There will be well-rounded elaboration from technical, organizational, strategy and cultural perspective in driving analytics initiative in the Jakarta context.

Bio: 

Juan Kanggrawan is the current Head of Data Analytics at Jakarta Smart City. His key role is to fully utilize data to formulate public policy and to improve quality of public services. Juan is currently working on several city-scale strategic analytics initiatives. He is actively analyzing complex, diverse and exciting urban data on a daily basis: citizen complaint/aspiration, transportation/mobility, health (COVID-19), CCTV, Open Data, weather-flood-river bank, subsidy utilization, food commodities price elasticity, etc. He is also developing and aligning strategic partnership framework between Jakarta Smart City with other government agencies, business enterprises, research agencies and universities.