Dive into the future of urban mobility with IBM SAMiS & PredictHQ
Data is the key to unlocking smarter, more sustainable urban spaces. Download our white paper to delve deeper into the world of data-driven urban planning, and explore how SAMiS is paving the way for smarter, safer cities of the future.
Urban Mobilty
How IBM, PredictHQ, and INRIX are transforming urban planning in Munich with data-driven insights
Imagine a city where first responders can anticipate and prevent accidents before they happen. IBM SAMiS is the cutting-edge prediction model that makes this a reality by accurately forecasting accident risk in Munich, Germany.
SAMiS uses PredictHQ event data, INRIX traffic flow data, and IBM's advanced ML models to inspire cities, public sector organizations, and anyone impacted by events to demonstrate new and innovative ways of combining data for smart city insights.
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Customer Stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer stories
PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
Customer Stories
Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
Customer Stories
Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
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Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer stories
Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
Customer Stories
Pricing: A key source of intelligence for the Lighthouse platform, enabling smarter pricing.
Customer Stories
Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
Customer Stories