Data Optimisation for Autonomous Driving

ANAEKO CASE STUDY

An iterative approach to understanding, analysing, and data optimisation solutions.

Processing video and sensor data faster than your competitors is critical to becoming the world-leader in autonomous driving. An automotive company had a growing fleet of self-driving cars generating huge volumes of big data and the cost and effort to manage these was spiralling. To maintain a market leading position the company needed data optimisation to accelerate their analytical research. 

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