Data Driven Planning to Make Cities Smarter, an End-to-End IoT Example

MEET THE HOSTS: Antonio Cotroneo, Sr. Solution Engineer, Emerging Analytics, Kinetica / Nohyun Myung, Director, Emerging Analytics, Kinetica This demo-driven session explores a smart city use case with Kinetica that blends location data, stream processing, and historical analytics into a custom application. We’ll show an active analytical app where real-time GPS data from local vehicles is monitored, visualized, and analyzed. IN THIS SESSION WE’LL DEMONSTRATE HOW TO: Stream high volumes of dynamic GPS observations Perform historical data exploration Conduct a scenario planning study using native graph and geospatial analytical capabilities

MEET THE HOSTS: Antonio Cotroneo, Sr. Solution Engineer, Emerging Analytics, Kinetica / Nohyun Myung, Director, Emerging Analytics, Kinetica

This demo-driven session explores a smart city use case with Kinetica that blends location data, stream processing, and historical analytics into a custom application. We'll show an active analytical app where real-time GPS data from local vehicles is monitored, visualized, and analyzed.

IN THIS SESSION WE'LL DEMONSTRATE HOW TO:

Stream high volumes of dynamic GPS observations
Perform historical data exploration
Conduct a scenario planning study using native graph and geospatial analytical capabilities