Forecasting.ai is a platform specialized in Artificial Intelligence. Its main purpose is to connect forecasters (anyone who creates, develops or trains who create, develop or train algorithms) and data owners who would like to do something with who would like to do something with their data in the context of their activity.
Forecasting.ai is an Internet site where each party (algorithm developers or data or data owners) can log in to offer their services and/or share and make available their and/or share and make available their data in a secure and anonymous universe. anonymized universe. Of course, any natural or legal person can be both an both an algorithm developer and a data holder. Nothing prohibits it, just as a hotelier can be both a provider and a client (whether as an individual or a or professional) on a hotel marketplace.
The public area
The Forecasting.ai website is built around two main modules:
The public part that everyone can access.
The private area where only the providers and the customers already registered can go to.
The public area will have different sections or headings, including a public presentation of Forecasting.ai on the home page. On the public part of the website (like Uber), the user will find two sections to distinguish between algorithm providers and data owners, each with with, each time, an explanation of how it works (in a way, a tutorial), a tutorial), a preview of the rendering (a demo) and, finally, an explanation and how to subscribe to Forecasting.ai services.
The public part that everyone can access.
The private area where only the providers and the customers already registered can go to.
The public area will have different sections or headings, including a public presentation of Forecasting.ai on the home page. On the public part of the website (like Uber), the user will find two sections to distinguish between algorithm providers and data owners, each with with, each time, an explanation of how it works (in a way, a tutorial), a tutorial), a preview of the rendering (a demo) and, finally, an explanation and how to subscribe to Forecasting.ai services.
The private part
Finally, the user will have access to a City blog open to all, where the Internet user can find various articles and short stories about Artificial Intelligence, in its entirety, and and on predictions, in particular. He will be able to access all the articles written by the team since the launch of City.forecasting.ai.
On the private side, once the registration and the connection are done, the individual or legal entity will have at his disposal several functionalities according to his role (developer of algorithms or data holder).
On the private side, once the registration and the connection are done, the individual or legal entity will have at his disposal several functionalities according to his role (developer of algorithms or data holder).
For the data holder:
- He will be able to upload the data that are at his disposal on a dedicated and secured server.
- He will be able to anonymize them before their transmission to the algorithm developer.
- He will be able to modify them or make the desired corrections.
- He will be able to visualize his data and view the results of the algorithm used in relation to the data initially transmitted.
- He will be able to benchmark/compete the different algorithm providers.
- He will be able to select and order, or subscribe, to the algorithm provider that best suits him.
- He will be able to get the result of the algorithm, generate a performance report and follow the costs of using the platform and the algorithms.
- He can publish on his personal blog.
For the algorithm developer:
- He will be able to present his company on a page and communicate on the services he offers.
- It will be able to make available any services or algorithm models for data holders.
- It will be able to establish a price list for the services made available according to their use by the data holder (subscription, pay-per-use, etc.).
- He will be able to consult the data holders who use his services and check the results given by his model.
- He can publish on his personal blog.
- It will be able to establish a price list for the services made available according to their according to their use by the data holder (subscription, pay-per-use etc.). payment, etc.).
- He will be able to consult the data holders who use his services and control the results given by its model.
- He can publish on his personal blog.
- It will be able to establish a price list for the services made available according to their according to their use by the data holder (subscription, pay-per-use etc.). payment, etc.).
- He will be able to consult the data holders who use his services and control the results given by its model.
- He can publish on his personal blog.
