Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information. Natural language processing is behind the scenes for several things you may take for granted every day. When you ask your AI-assistant for directions or to send a text, Natural Language Processing enables that functionality.This technology is still evolving, but there are already many incredible ways NLP is used today. Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information. Natural language processing is behind the scenes for several things you may take for granted every day. When you ask your AI-assistant for directions or to send a text, Natural Language Processing enables that functionality.This technology is still evolving, but there are already many incredible ways NLP is used today. In this tech talk, we will start with understanding what is NLP and what is its pipeline. After that, we’ll go through an example on how to integrate structured data & unstructured data to generate recommendations using Watson NLU and Watson Studio on IBM Cloud. This example is a configurable yet scalable HR recommendation process which will help in merging the different data sources and expedite the process of decision making. Speaker: Hania Ibrahim, Client Developer Advocate, IBM Hania Ibrahim is a Digital Client Developer Advocate at IBM Egypt. She graduated from the German University in Cairo with a Computer Science and Engineering degree. She is very interested in IoT, Natural Language Processing and Analytics. She is very excited about learning more about ways to make apps smarter, more resilient and adaptive.

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