W3bstream Case Studies
DIMO Utilizes W3bstream to Make It Easier for Developers to Leverage Vehicle Data for Mobility Use Cases
DIMO is a connected vehicle platform where drivers are incentivized to contribute their vehicle data in exchange for crypto-assets, enabling developers to build a variety of decentralized mobility applications with trusted data from real vehicles.
Case Study Details
Mission
DIMO is creating a global network where everyday people can collect and monetize the data from their vehicles. On top of this automotive data, DIMO enables developers and data companies to build decentralized applications and mobility services including vehicle health records, driver behavior, insurance, and more.
Mission
DIMO is creating a global network where everyday people can collect and monetize the data from their vehicles. On top of this automotive data, DIMO enables developers and data companies to build decentralized applications and mobility services including vehicle health records, driver behavior, insurance, and more.
Mission
DIMO is creating a global network where everyday people can collect and monetize the data from their vehicles. On top of this automotive data, DIMO enables developers and data companies to build decentralized applications and mobility services including vehicle health records, driver behavior, insurance, and more.
Challenges
Modern vehicles generate an incredible amount of data from speed and safety sensors, camera feeds, and much more. Extracting verifiable insights from this massive amount of streaming data demands a large amount of computing power that can flexibly accommodate the heterogeneity of vehicle types.
Challenges
Modern vehicles generate an incredible amount of data from speed and safety sensors, camera feeds, and much more. Extracting verifiable insights from this massive amount of streaming data demands a large amount of computing power that can flexibly accommodate the heterogeneity of vehicle types.
Challenges
Modern vehicles generate an incredible amount of data from speed and safety sensors, camera feeds, and much more. Extracting verifiable insights from this massive amount of streaming data demands a large amount of computing power that can flexibly accommodate the heterogeneity of vehicle types.
How W3bstream Helps
DIMO is utilizing W3bstream to enable computations over streaming data ("stream compute"), allowing developers to capturer granular and real-time insights from vehicle data. W3bstream also provides a user-friendly environment for developers to build their own projects on top of DIMO data, including driving challenges to earn NFTs and other rewards.
How W3bstream Helps
DIMO is utilizing W3bstream to enable computations over streaming data ("stream compute"), allowing developers to capturer granular and real-time insights from vehicle data. W3bstream also provides a user-friendly environment for developers to build their own projects on top of DIMO data, including driving challenges to earn NFTs and other rewards.
How W3bstream Helps
DIMO is utilizing W3bstream to enable computations over streaming data ("stream compute"), allowing developers to capturer granular and real-time insights from vehicle data. W3bstream also provides a user-friendly environment for developers to build their own projects on top of DIMO data, including driving challenges to earn NFTs and other rewards.
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W3bstream. Powered by IoTeX. Built by MachineFi Lab. All rights reserved.