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How Uber Implements CI/CD Of Machine Learning Models

The ride-hailing giant Uber is currently present in 10K cities across 71 countries, and its platform is used by 93 million customers and 3.5 million drivers globally.  Every quarter, the ride-hailing platform completes nearly 1.44 billion trips. However, as a result of a global pandemic and travel restrictions, the total number of quarterly Uber trips decreased by 24.21% in 2020.  "At Uber, we have witnessed a significant increase in ML adoption across various organisations and use-cases over the last few years," said the company in its latest blog post co-authored by Yi Zhang, Joseph Wang, Jia Li, and Yunfeng Bai. The blog further highlighted various pain points, alongside explaining the solution implementation of continuous integration (CI) and continuous deployment (CD)
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Amit Naik
Amit Raja Naik is Senior Editorial Producer – Live Shows at AIM Network, driving India’s most influential AI and technology conversations. He leads content, narrative design, and visual storytelling, engaging with leaders, innovators, and policymakers to advance how technology impacts businesses, governance, and society.
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