What’s the future of NLP in Data Science?

In 2011, IBM Watson computer won the popular TV quiz Jeopardy! outplaying the two greatest show champions Ken Jennings and Brad Rutter. 

IBM Watson is a cognitive system that combines information retrieval and natural language processing (NLP), a form of AI that allows machines to read the text by simulating the human ability to understand languages. This occasion marked the emerging boom in Natural Language Processing.

NLP is transforming the way humans and machines interact. 

Most of us come in contact with NLP on a daily basis through website chatbots, virtual assistants like Siri, or when using Google Translate. Industry experts predict that the demand for NLP will grow exponentially. Why?

At the moment, about 80% of data is unstructured and the majority of this data is available in the text format - from tweets to blog posts to websites. That makes NLP one of the most dominant domains in Data Science. 

Fields like healthcare, e-commerce, SaaS, political campaigning, brand marketing and many more rely on NLP for decision making. That’s why mastering NLP skills is highly important for Data Scientists.

On Thursday, October 29th, DN Unlimited is hosting a virtual Open Forum dedicated to NLP.

Supervised/unsupervised machine learning, deep learning, semantic search, industry-relevant use cases - just some of the topics that we are going to discuss together with the experts: 

Sven Schmeier (Chief Engineer at DFKI) is an expert in data mining and machine learning, human-computer dialog systems, information extraction, semantic search, big data analytics, question answering and mobile applications of NLP technologies. Sven has successfully led more than 15 national and international projects in research and industry.

Shaista Sultana is a Software developer and Researcher at Acrolinx GmbH. As an NLP researcher skilled in Tensorflow and Keras, Shaista will share her experience in software engineering at the company that uses a unique linguistic analytics engine to “read” content and provide immediate guidance to improve it. 

?Sophia Aryan co-founded Bugout.dev - the search engine for software teams.

As a former OpenAI scholar, she conducted research on the intersection of NLP and Reinforcement Learning.

Rosana de Oliveira Gomes is a Lead Machine Learning Engineer & Project Manager at Omdena, a global platform bridging mission-driven organizations with AI engineers, data scientists, and domain experts from diverse backgrounds to solve real-world problems.

Rosana holds a PhD in Astrophysics and is currently dedicating her career to technology for social impact. She is passionate about AI for the humanitarian sector and impact tech startups. Rosana also dedicates her time to empowering women and young professionals to become skilled in AI.

Join us this Thursday! Registration for the event is free and open here.