The RAP AI platform requires a sequence of steps to get started. While some applications can be consumed out-of-the box and are instantly deployable, other applications and custom applications require certain activities before deployment. Usually it is a matter of mere weeks.
Here they are:
Sequence of Steps
The initial step requires identifying all the operations and tasks that can be automated using either or both of the RAP AI engines. This might be a set of text or image recognition tasks using EyeMagic or NLP processing, entity extraction and intent classification using ResponseGenie.
Determine whether classification is required – does the operation or operations deal with multiple types of documents, images or other formats. This raises the degree of complexity of operations.
1. Identify Flow & Pipeline
Determine all the workflows and pipeline for tasks and processes to be automated.
2. Upload Training Data
Upload your data to perform training. In some cases, annotation may be required.
3. Platform Trains Itself
The RAP AI Platform runs multiple algorithms over the data sets to compare efficiency.
4. Platform Picks the Best-fit Algorithm
The RAP AI platform freezes the best-fit algorithm for the use case at hand.
5. Test the Solution
Test the efficiency and accuracy of the automated pipeline. Your feedback will then be incorporated.
6. API Generation
The RAP AI platform generates an API to plug n play with your existing systems.
Deploy your application and run the show yourself with our initial guidance.