Which groundbreaking big data technique did Uber introduce in 2015 that revolutionized their demand forecasting and reduced passenger wait times by up to 40% in major cities?

Test your knowledge about how big data transformed the transportation industry! Ride-sharing companies revolutionized urban mobility by leveraging massive datasets to optimize operations. Behind these convenient apps are sophisticated algorithms analyzing millions of data points to predict demand, optimize routes, and set dynamic pricing. How well do you understand the analytics powering your daily commute?

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Hexagonal Hierarchical Spatial Index (H3) - a geospatial indexing system that divides the world into hexagonal cells for more efficient location-based analytics
Neural Prophet - a time-series forecasting model combining traditional statistical methods with deep learning to predict short-term demand spikes
Quantum Route Optimization (QRO) - an algorithm using quantum computing principles to calculate optimal driver paths in real-time
Dynamic Surge Prediction (DSP) - an automated pricing model that adjusts fares based on historical patterns and real-time conditions