Applied Language Technologies
13:30-16:30 January 26

½ day
Beginner level

@ 5BC

Details

A deep dive into real-world applications of language technologies. You will hear about use cases applying Natural Language Processing (NLP) in different industries, e.g., insurance, banking, and pharma from leading data scientists and technology specialists.


Schedule

NLP and AI: Challenges of applying language technologies in financial services

13:30-13:45 January 26 · with Kornelia Papp (Swiss Re, Machine Intelligence DSA)


When (and why) rule-based rules

13:45-14:00 January 26 · with Manuel Dömer (Swiss Re, Property & Casualty IT)


The new digital customer experience

14:00-14:15 January 26 · with Pamela Negosanti (Expert System)


Contextual AI

14:15-14:25 January 26 · with Benyounes Moumni (Swisscom)


Coffee Break

14:25-14:45 January 26


Application of text mining in pharma: use cases and platform approach 

14:45-15:00 January 26 · with Lingli He (PwC)


Topic modelling for investment research 

15:00-15:15 January 26 · with Urszula Bielawny (Swiss Re, Asset Management)


Decoding customer satisfaction from unstructured acoustic data 

15:15-15:30 January 26 · with Nicolas Perony (OTO.ai)


Coffee Break

15:30-15:50 January 26



Panel Discussion

15:50-16:30 January 26 · with Javiera Guedes (Credit Suisse), Yauhen Klimovich (Move Digital AG), Moez Mnif (IBM) - Moderated by Mark Rowan



Outcome

Participants will gain knowledge of speech and text solutions when applied in medium-sized/large enterprises. They will learn about different sub-fields of NLP, e.g., text classification, opinion mining, topic modelling, emotion detection, insight generation, and ontology engineering. They will also gain insights into the main challenges of language technologies.


Prerequisites

  • Interest in NLP

Organizers

Kornelia Papp

Cognitive Data Scientist, Swiss Re

NLP Meetup Zurich

Website