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    Home » Uber Launches AI Data Solutions at Global AI Show 2025
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    Uber Launches AI Data Solutions at Global AI Show 2025

    Art RyanBy Art RyanDecember 12, 2025No Comments3 Mins Read
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    Abu Dhabi, UAE — Uber announced a major strategic expansion into artificial intelligence at the Global AI Show 2025, introducing its new division AI Data Solutions — a global-scale data engine built to power the next generation of AI models across every industry.

    The division, led by Mohit Bhatia, Head of SMB Business, AI Data Solutions, has been developed over the past 18 months and formally launched six months ago. The Global AI Show marks the first public showcase of the new vertical in the Middle East, a region undergoing unprecedented AI-driven transformation.

    “Uber has always been about scale, precision, and global operations,” said Bhatia.
    “With AI Data Solutions, we’re extending that capability into the AI ecosystem — delivering the high-quality data enterprises need to build accurate, safe, and reliable AI models.”


    Building the Data Backbone for Global AI

    AI Data Solutions focuses on solving one of the most crucial — and often overlooked — foundations of AI development: access to clean, diverse, ethically sourced training data at scale.

    Uber now supports enterprises with two high-impact capabilities:

    1. Large-Scale Data Annotation & Enrichment

    Uber provides advanced human-in-the-loop annotation for:

    • Text
    • Audio
    • Images
    • Video
    • Sensor and telemetry data

    Data is cleaned, structured, validated, and made model-ready — reducing error rates and accelerating training cycles.

    2. Worldwide Custom Data Collection

    Leveraging Uber’s unparalleled global reach, the division conducts custom data collection spanning:

    • Audio/video recordings
    • Environment-specific imagery
    • LiDAR and radar datasets
    • Mobility and location-based AI inputs

    “Whatever a model needs — from road imagery in Abu Dhabi to voice samples in São Paulo — we can collect it,” Bhatia noted. “At scale, at speed, and with full compliance.”


    Uber’s Secret Advantage: A 7 Million+ Global Workforce

    No other AI data provider operates with Uber’s level of global infrastructure.

    With over 7 million earners worldwide, Uber has built one of the largest, most flexible, and most operationally reliable gig workforces on the planet. This enables the company to:

    • Generate massive, high-diversity datasets
    • Conduct distributed collection across multiple geographies
    • Annotate and validate data with human oversight
    • Ensure ethical compensation and contributor protection
    • Deliver secure, fully compliant data pipelines

    “AI is only as good as the data behind it,” Bhatia emphasized.
    “Our workforce gives us a unique ability to support enterprises ethically, safely, and at unprecedented scale.”


    Why Launch in the UAE? A Region Defining the Future of AI

    Uber’s expansion into the Middle East aligns with the UAE’s strategic position as one of the world’s fastest-growing and most AI-forward economies.

    “The UAE is writing the playbook for national-scale AI adoption,” said Bhatia.
    “The ambition, the investment, and the ecosystem here make it the perfect region to debut AI Data Solutions.”

    Uber’s participation in the Global AI Show underscores its commitment to supporting regional governments, startups, and enterprises in accelerating AI readiness through high-quality data infrastructure.


    About Uber AI Data Solutions

    Uber AI Data Solutions is the newest division of Uber, built to supply enterprises with the high-quality data required to train, validate, and enhance AI models. Using Uber’s global network of more than 7 million earners, the division provides scalable data collection, annotation, and enrichment services across all modalities — including text, audio, imagery, video, LiDAR, and radar. Uber AI Data Solutions enables organizations to build more accurate, ethical, and production-ready AI systems at global scale.

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    Art Ryan

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