Join us for another data science meetup in Meppel!
18:00 - 18:30 Pizzas, drinks & networking
18:30 - 19:00 Financial News Mining (David Graus)
19:00 - 19:30 Machine Learning in Customer Contact (Michel Boedeltje)
19:30 - 21:00 More drinks & networking
Abstracts and bio's can be found below.
Financial News Mining (David Graus, FD Mediagroep)
The FD Mediagroep (FDMG) specializes in news, online products, events, and data for business people. Company.info (part of FDMG) provides complete, reliable, up-to-date company information and business news about no less than 2.7 million companies and other legal entities in the Netherlands. At Company.info, we possess a large archive of (Dutch) business-related news, collected from hundreds of (online) news sources, spanning millions of news articles. These articles have been automatically linked to company profiles using a custom in-house entity linking framework. In this talk, I will briefly explain the entity linking task, go into details of our custom framework, and prove some examples of information extraction from news, and financial news mining.
David Graus is a Data Scientist at the FD Mediagroep, where he works on applied machine learning, predictive modeling, recommender systems, and information extraction from company information and news articles. He holds a PhD degree from the University of Amsterdam (UvA), where he worked on information retrieval and natural language processing. His research revolved around methods for automated analysis of (large-scale) textual digital traces.
Machine Learning in customer contact (Michiel Boedeltje, Telecats)
Telecats is a key player in developing Customer Contact solutions ranging from Contact Center solutions and IP telephony to Interactive Voice Response (IVR) and Speech Recognition Solutions. By using Speech and Language technology combined with Machine Learning, we identify your customers, grasp their intent for calling you and route the call to the best possible agent. Along this customer journey, we also assist the contact center agent in realtime during the call and enable you to analyse your calls based on the content (speech analytics).
In this talk, I will discuss the Call Steering (or “How May I Help You”) solution and the way Speech Recognition and Machine Learning help us to optimise call routing. I will also go into on the struggle of building consistent ML models to bridge the gap between the way how customers talk and how a company is organised. If there’s some time left, I'll show some interesting examples on how we use Speech and Language technology for analytics and data mining.
Michel Boedeltje is Product Owner Speech and Dialog Systems at Telecats and he and his team are tasked with (but most of all passionate about) building intelligent routing and selfservice applications to help customers find their way to the best available contact center agent or to adequately resolve the customers issue automatically.