University of Cambridge > Talks.cam > Data Insights Cambridge > Big data analytics for non-technical end-users. Erik Tromp, UnderstandLing.

Big data analytics for non-technical end-users. Erik Tromp, UnderstandLing.

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr Sobia Hamid.

Big data analytics are hot and booming, but often require in-depth technical knowledge due to the fields immaturity. While technical experts are rare to find and low in numbers, analysts with non-technical backgrounds are far more abundant and also ready to apply big data analytics if it weren’t so low-level in its technical aspects. UnderstandLing have made a platform called Tuktu that allows non-technical end-users to take control over powerful big data analytics to apply the most sophisticated and state-of-the-art technologies in the world without bothering about implementation details. In this talk, we will particularly zoom in on the state-of-the-art deep learning models for computational linguistics that are unique in the world.

Speaker Bio

Erik Tromp is CEO of UnderstandLing, a big data science company focusing on customer experience management. Erik is an expert in the field and is often asked to give lectures, seminars and trainings. He is the author and founder of UnderstandLing’s platform Tuktu that manages to provide users with laymen entry-level solutions for every possible task in big data science. Erik’s work in the field of computational linguistics has been awarded several international awards and is regarded by many as novel and groundbreaking.

This talk is part of the Data Insights Cambridge series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity