DeepCloud AI - REVIEW
Today I would like to share with you some important thing about DeepClood_AI project. Deep Cloud AI is a platform, with the desire to deepen and prepare the infrastructure for deploying Blockchain and dApp for future use. The platform is also exploring new markets of decentralized solutions by providing users with a hierarchical cloud service option based on the blockchain. This concept is no longer strange to those of us who know the blockchain technology and projects that run on the blockchain platform.
In this article, I only mention some of the project information and if you interesting in and want to join the discovery, please check the link below.
The purpose of DeepCloud AI is to improve the cloud user experience and improve the input better to build an AI-based distributed cloud platform to run decentralized applications - IoT and Web 3.0 DApps, as well as providing computing and resource storage markets for users and enterprise-level individuals to share their excess capacity on Deepcloud AI's distributed cloud. Applications are implemented in a secure sandbox on peer resources, and all transactions are managed on the blockchain through smart contracts with the full traceability audit of the DeepCloud Blockchain. WHO. That helps users achieve a rich set of information and predictions, then makes smarter decisions.
These are things that can be addressed on the DeepCloud AI platform. These include:
IoT and AI @ 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 the edge for running and deploying their applications.
Enterprises and shipping companies with complex supply chain tracking challenges can run and deploy their blockchain-based applications on the DeepCloud AI fabric for tracking all the transactions with full audit trail, secure and tamper-proof.
TV SERVICES PROVIDERS
Service providers like TV/Cable companies can rely on DeepCloud AI's decentralized services, such as local caching of media streams during football season or large audience events like the Olympics.
DECENTRALIZED AI ALGORITHM LEARNING
For IoT applications with security and data privacy concerns, by running Decentralized AI Algorithms close to the edge devices themselves, one can generate compressed insights on DeepCloud AI resources. This provides a 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.
Project with the very strong team and they almost from areas of expertise:
Max Rye (CEO)
With 15 years of experience in Cloud Computing Industry. Experienced in Enterprise-level Cloud Infrastructure. AI Researcher.
Geeta Chauhan CHIEF TECHNOLOGY OFFICER
Engineering Leader with 25 years of experience in building resilient, anti-fragile, large scale distributed platforms with 1B+ users. Built and launched 15+ platforms based on AI/Deep Learning, Cloud Computing, Blockchain, Software Defined Networking, Micro-services, Self-healing, Elastic Scaling.
Miroslav Sala CHIEF PRODUCT OFFICER
Total 12 years of commercial experience. 6 years at eBay with the last role being Business Performance Manager. Among top 10% of students of prestigious INSEAD MBA (no. 1 MBA in the world according to Financial Times MBA ranking [ trailing 3 years average ranking ] ).
And many more people of the project team that I invite you to explore this project by link below. In this short article, I can not give you full detail but I am sure with you many more interesting in and don't miss this out, this is one of the best of 2019. Thanks for your attention.