AnyDATA Framework 2(ADF2) is an open-source cognitive intelligence framework. It implements domain knowledge servitization through community and industry users to build domain knowledge networks and solves the problem of the lack of domain knowledge in cognitive intelligence applications. It aims to break through the business via knowledge platform, and provide the cognitive ability with reasoning and interpretability, which can realize intelligent search, question answering and recommendation, and help improve business intellectualization.
In the continuous evolution of time, we found that domain cognitive intelligence can solve the problems of the following four aspects, which will also become the future direction of AnyDATA Framework 2.
ADF2 domain cognitive intelligence framework = domain knowledge network + cognitive engine + cognitive workbench. The whole business has three cores:
- Focusing on the co-construction and sharing of domain knowledge networks. Through the co-construction and sharing of domain knowledge networks across enterprises, we can reduce the complexity and cost of the construction of domain knowledge networks of a single enterprise, promote domain knowledge services and transactions, and empower industry/domain cognitive applications.
- Focusing on empowering ecological applications to achieve domain cognitive intelligence. AnyDATA Framework 2 can help developers use the framework's built-in basic capabilities and domain knowledge networks to develop applications with domain cognitive intelligence, including aishu’s own products: the realization of knowledge management in AnyShare, the realization of intelligent operation and maintenance in AnyRobot, the realization of data asset management in AnyFabric, and the realization of industrial intelligence in all walks of life.
- Focusing on open-source cognitive intelligence framework and community operation, empowering data scientists and developers, reducing the threshold of the domain knowledge network and cognitive intelligence development and application, attracting excellent developers from all over the world to join the community, and constantly improving the basic capability of cognitive intelligence framework.
By reducing the construction of the domain knowledge network and the threshold of cognitive intelligence application development, the TCO of cognitive intelligence can be reduced.