
IoT and AI at edge scenarios for smart cities, so that local governments can focus on building the core infrastructure and rely on DeepCloud AI's resources close to edge for running and deploying their applications.
For IoT applications with security and date privacy concerns, by running decentralized AI algorithms close to the edge devices themselves, one can generate the compressed in sights on DeepCloud AI resources.
This provides mechanism for IoT device consumer's to monetize their own data with all the transactions and encryption of the data and the algorithms via the blockchain.