Qubole
28 Case Studies
A Qubole Case Study
Nauto, a Silicon Valley AI company that uses dual-facing cameras, computer vision and proprietary algorithms to improve commercial vehicle safety, was struggling with rapidly growing, siloed data from 250+ fleets. The company’s existing infrastructure made it hard to manage processing and forced engineers into manual data cleanup and maintenance, slowing algorithm and product development.
In a three-month migration to Qubole’s cloud data platform, Nauto consolidated its data and began using Spark, Presto, Airflow and SageMaker to automate pipelines, prepare data and train models. The move cut time-to-actionable-insights from 1–2 weeks to 2–3 days, shortened product development from about a year to 2–3 months, boosted data scientist productivity, and improved cost control through autoscaling and unified infrastructure.
Lei Pan
Director of Engineering, Cloud Infrastructure