TechWolf: Deep learning for Career Prediction

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

• Josef Valvoda
• Monday 08 February 2021, 13:05-13:55
• Online.

If you have a question about this talk, please contact Ben Karniely.

While companies have made almost every aspect of their business data-driven, human resources has mostly stayed behind. At the same time, ever-faster innovation and transformation have shown that companies that don’t actively manage (or even know) their skills can quickly end up becoming irrelevant. TechWolf helps organizations gain a view on their skills based on data already in their systems today – to make this work, we leverage a broad range of natural language processing techniques, detecting and modeling skills in almost any document.

This talk will dive into one of our research projects, in which we leveraged a transformer architecture to model and predict a somewhat unique language: the language of career sequences. Josef Valvoda, PhD candidate and visiting researcher at TechWolf, will walk you through the challenges and opportunities found in this new approach.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• Guy Emerson's list
• Interested Talks
• Online
• School of Technology
• Technical Talks - Department of Computer Science and Technology
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.