Artificial Intelligence & Machine Learning

Infuse AI into your applications to make more accurate predictions, automate decisions and processes, and optimize employees’ time to focus on higher value work.

COGNITIVE COMPUTING

Cognitive computing algorithms try to mimic a human brain by anaysing text/speech/images/objects in a manner that a human does and tries to give the desired output.

Neural Networks work on the similar principles as of Human Neural cells. They are a series of algorithms that captures the relationship between various underying variabes and processes the data as a human brain does.

MACHINE LEARNING

ML teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, analyses past data to infer the meaning of these data points to reach a possible conclusion without having to involve human experience.

DEEP LEARNING

Deep learning is a subset of machine learning where neural networks — algorithms inspired by the human brain — learn from large amounts of data. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.

NATURAL LANGUAGE PROCESSING (NLP)

Natural Language Processing (NLP) provides the capability for machines to understand natural language—for humans to interact with databases in layperson’s terms across sources—strikes at the core of converting the unstructured data of language into informed action.