AI & ML

We define the new way of Machine learning

AI & ML

Artificial intelligence can be loosely interpreted to mean incorporating human intelligence to machines. Whenever a machine completes tasks based on a set of stipulated rules that solve problems (algorithms), such an “intelligent” behavior is what is called artificial intelligence.

Machine learning can be loosely interpreted to mean empowering computer systems with the ability to “learn”. The intention of ML is to enable machines to learn by themselves using the provided data and make accurate predictions.

ML is a subset of artificial intelligence; in fact, it’s simply a technique for realizing AI. It is a method of training algorithms such that they can learn how to make decisions.

Our Expertise

Face recognition

Identify & recognize the face, find the object & facial expressions

Deep learning

Helps building influential and intelligent artificial neural network models which are competent enough to learn complex representations of data without human intervention

Predictive modelling

Use power of ML techniques (supervised and unsupervised learning approaches) based on Regression and Classification

Chatbots

We offer extremely sophisticated and smart Chabot solutions that can be implemented across all industry domains

Natural Language Processing (NLP)

Fills the gap between human communication and computer understanding

The Process

1

Requirement Gathering

Understand the business needs and develop use cases

2

Develop Architecture

Develop an architecture and data processing flow.

3

Data Finalization

Understand the data problem and create sample data to create the POC

4

Create POC

Create POC on sample data

5

Demonstrate POC

POC gets demonstrated by System Analysts and Data Scientis

6

Get Feedback

Gather feedback from client based on POC and ensure all requirements have been taken care of

7

Implementation and Integration

Engineering team works on the project and integrate models