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.
Identify & recognize the face, find the object & facial expressions
Helps building influential and intelligent artificial neural network models which are competent enough to learn complex representations of data without human intervention
Use power of ML techniques (supervised and unsupervised learning approaches) based on Regression and Classification
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
Understand the business needs and develop use cases
Develop an architecture and data processing flow.
Understand the data problem and create sample data to create the POC
Create POC on sample data
POC gets demonstrated by System Analysts and Data Scientis
Gather feedback from client based on POC and ensure all requirements have been taken care of
Implementation and Integration
Engineering team works on the project and integrate models