AI Strategy

We help organisations chalk out an enterprise AI strategy by tying their AI goals to organisational ambitions.

We outline the approaches and focus areas that enable adaption of AI and help define the Use Cases, Provide Value Maps, and Design the frameworks to accelerate AI adoption.

A quick preview of the problems that we address as a part of the AI Strategy:

• Build reproducibility from the start for AI initiatives

• Modularize the work for maximum reusability

• Creation of architectural patterns for the AI use cases

• Scalable deployment strategy

• Model monitoring and observability

• Team composition

AI Implementation Services

We help organisations leverage their enterprise and external datasets to provide valuable insights by applying the techniques of Artificial intelligence (AI) and Machine Learning (ML).

We follow the CRISP-DM methodology which is a machine learning based approach of solving a business problem. It encompasses the steps that help implement an ML project end-to-end in a robust way.

• Business Understanding

• Data collection, Understanding and Labelling

• Data Preparation

• Build Baseline Models

• Model Validation and Evaluation

• Model Deployment

• Model Management