Embedded Files
The more data → the more the need for labeled data → The more labeled data → the more interesting to data scientists to create models → the more models → the more interesting it is for users to try to leverage for their purposes .
Ultimately all actions drive platform usage … which means integrating into chains to get data.
How
By providing paved roads through the SDKs we will be able to onboard users from each chain that we launch an SDK for (could also be grant driven). Partnering with infrastructure companies will allow us to not have supply / demand issues. Create enterprise council that will also help drive and define enterprise patterns in order to meet their needs as quickly as possible.
User Value
Every new user adds data to the ecosystem (tagged public) could be used to enrich the training sets for AI/ML models. As we explore creating user driven activities such as data labeling (earning opportunities); the pool of users will provide speed to manually intensive tasks and be attracted to participate in the platform.
Data Value
AI/ML developers can leverage a vast and diverse dataset to train and deploy cutting -edge models. The more data is available for potential use through the platform, the more attractive the platform becomes to data scientists.
User Value
The generic execution engine enables the creation of diverse data types, including time - series data for advanced analytics, forecasting and to be used for oracle services.
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