You Don't Need To Be A Data Scientist To Implement AI With Bonsai

The architect defines the high-level mental model of the system which will eventually translate to the right algorithm. The instructor ensures that the system learns from existing data sources or simulated datasets. It creates an execution plan to make sure that the outcome defined by the architect can be achieved with higher accuracy. The learner component is responsible for carrying out the actual execution of the low level, underlying artificial intelligence algorithms. It takes the inputs from the instructor to define the parameters of the learning algorithm and evaluating the performance. Finally, the predictor is deployed in production to deal with live data points. The best thing about Bonsai's approach is its emphasis on business outcome rather than the technology. The platform exposes a high-level, domain-specific language called Inkling, which can be used to declare the concepts (what you want to teach the AI), and curriculum (how you want to teach the concepts) necessary to train the BRAIN.