The RAP AI Platform

Getting Started

Overview

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.

7. Deployment

Deploy your application and run the show yourself with our initial guidance.

  • 1. Identify Flow & Pipeline

    Identify all the operations and tasks that can be automated using either or both of the RAP AI engines. Determine the workflow and pipeline for tasks and processes.

  • Identify-Flow-Pipeline
  • 2. Upload Training Data

    The next step is to upload your training data to perform training. In some cases, annotation may be required. Selecting the right data is important for optimal training.

  • Upload-Training-Data
  • 3. Platform Trains Itself

    The RAP AI Platform runs multiple algorithms over the data sets to compare efficiency. Thresholds may be set in this process for determining acceptable and optimal results.

  • Platform-Trains-Itself
  • 4. Platform Picks the Best-fit Algorithm

    The RAP AI platform determines and freezes the best-fit algorithm for the application or use case at hand. Yes, the platform does this automatically using the power of AI.

  • Platform-Picks-the-Best-fit-Algorithm
  • 5. Test the Solution

    User field test before going live. This tests efficiency, accuracy of data entry, inputs, operations, outputs and any other parameters of concern. Based on this test, user feedback is provided and then incorporated.

  • Test-the-Solution
  • 6. API Generation

    The RAP AI platform generates an API to plug n play with your existing systems. It augments your existing systems, working with them and enhancing your processes with the power of cross-collaboration and automation.

  • API-Generation
  • 7. Deployment

    It’s go time – deploy your application and run the show yourself with our initial guidance. Deployment is usually a matter of weeks and you see rapid process improvements & ROI. You can deploy on-premise, or on a private or public cloud.

  • Deployment

Transform your business and automate processes with the power of AI.