Users are data producers. Follo ecosystem would distribute FOL to users to motivate them to upload their private data. Follo help users benefit from their private data.
Users can disclose their medical records and health data to the third-party medical institutions to get personalized medical services.
For lower premiums and faster claims processing, individual users could disclose their travel paths/health information/financial information to the third-party insurance company. So do automobile users.
With AI, Follo can make the intelligent classification and analysis of data, and match the orders from third-party service providers smartly to provide personalized services to users.
The model based on "location + user behavior" is the future of advertising industry. It is possible to determine the best placement location and make the advertising more valuable by analyzing the location data of the target group.
Location of Business
With location big data, companies can screen the surrounding effective traffic (i.e. potential customers) accurately to realize the commercial layout based on regional effective people traffic.
With location big data, city governance personnel could achieve a more in-depth analysis of the characteristics of the target area to verify whether the regional planning plan is in line with actual needs or whether the layout is reasonable.
Launching the Follo official website and releasing the first version of whitepaper
Developing data acquisition platform and application to implement user data can be stored on the blockchain
Accessing to the third-party data to expand data coverage sources
Extending data diversity, such as automotive data, sensors, IOT, etc.
Outline the initial ideas of Follo and design the initial ecosystem
Establishing and publishing the POI token platform
Establishing the data trading platform to achieve ecological data circulation
Establishing the data solution platform based on AI to provide a one-stop data solution for Business client
Co-Founder & CEO
M. Ec of ESSCA, expert in VC and Project Incubation, experienced practitioner and investor in Blockchain
Co-Founder & COO
MBA of SJTU, profound experience in MNC, with a unique perspective in the field of management/consulting/investment
B.CS of NJU, senior Development Engineer of Tencent, extensive developing experience in the field of large distributed systems/high performance systems, etc
Ph.D. of ZJU, big data algorithm scientist, senior Algorithm Engineer of Alibaba
Big Data Security Legal Expert
LL.M. of CUFE, expert in big data security legal
Token Economics Expert
Ph.D. in Economics, Prof in School of Economics of FDU, expert in Token Economics, early investor of Blockchain