This blog posts delves into the mobility data and trip hop movement patterns for one
What do city parks, mobile intelligence, and machine learning have in common? CITYDATA!
CITYDATA.ai was featured at STIR Demo Day in San Francisco last week. We showcased our "People Intelligence" platform for the public sector: smart cities and local government.
Many cities have embraced open data. But very few have the analytics and insights to make sense from all that data. There is an urgent need for data-driven optimization of city programs and facilities.
CITYDATA's "People Intelligence" provides a deep understanding of why people are where they are and what is on their minds. This enables cities like San Leandro, San Francisco, Oakland and Sacramento to analyze the usage of city facilities, community centers, senior centers, parks, playgrounds, sports fields, courts, pools and aquatic centers.
City managers and department directors can now measure performance against KPIs, optimize their budgets and allocate resource based on actual data about engagement, enrollment, and revenue. Cities can also fine tune their program offerings for underserved communities, neighborhoods, and demographics.
We've extended our core technology platform to modernize government and serve city residents. This is civic innovation at it's finest.