Before explaining what ecosystem is formed from and how its participants interact, we want to note that Legerium is not only an ecosystem, but also a universal tool for introducing models of machine learning in different areas of activity in order to provide favorable life conditions for each person .

What is ecosystem?

Ecosystem is a complex self-organizing,

self-regulating and self-developing system, which can be used to call any unity

of all organisms in a certain area, interacting with physical environment in

such way that the flow of energy creates a clearly defined functional

structure, species diversity and a cycle of actions within it.

Why is it appropriate to talk about Legerium as an ecosystem?

Legerium is an ecosystem, as it combines within itself an integral mechanism consisting of developers of machine learning models, validators, distributors and suppliers of Big Data, cloud storage, centralized or decentralized computing facilities, which, upon completion of their work, provide a ready solution for implementation and reuse.

The ecosystem itself is a territory of special purpose for participants in the market of machine learning. By combining developers, suppliers and centers of validation, everyone can at any time get a well-trained model and integrate into any idea.

That’s why Legerium is correctly called an ecosystem.

Principle of interaction between the participants within ecosystem

To make principles easier to understand, we propose to imagine a chain with links, which are the above-mentioned participants.

The first chain link is the Big Data suppliers, who are involved in training models (intelligent machines in future). Intelligence will be built up by adding a new dataset over existing ones.

The validators will conduct an examination of the new data.

Storage for data of Big Data suppliers and ML designers is provided by data storage suppliers, and suppliers of computing power provide the system with computer power for teaching an ML model. Distributors in the chain integrate ready solutions for ML clusters and selling API calls to clients.

Thus, the ecosystem will be not only formed, but also enlarged and improved.