Since the advent of personal computing, keyboard has always been the master of human-computer interface. But today with voice recognition via virtual assistants, like Google assistant, Alexa, Siri and Cortana things have changed dramatically. With Natural Language Processing (NLP) computers are now able to understand human speech as it is spoken.

NLP being a branch of artificial intelligence has many important implications on the ways that computers and humans interact. Its market size is estimated to grow up to USD 16.07 Billion by 2021. As NLP is gaining a good grip over the world, many software providers have jumped onto the software bandwagon to develop and provide these services.

Powered by semantic and cognitive technologies, the future of NLP is destined to capitalize on its potential for a human like understanding of speech and text through a variety of applications. Its biggest consequence is going to be in lowering or possibly complete removal of the barrier to entry for Business Intelligence (BI) and Big Data (BD). Many businesses in the BI domain are already taking notice of this trend and taking steps to ensure data becomes more user-friendly and easily accessible.

By Joining This Session, You Will Learn:

• What exactly is Natural Language Processing (NLP) and what are its real world applications?
• ow NLP is involved into our daily lives and disrupting the world?
• Details on Natural Language Understanding (NLU) and Natural Language Natural Language Generation (NLG)
• Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)
• ntroduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)