BookmarkSubscribeRSS Feed
Presentations SAS Forum Nordics 2020, 17 November - Virtual
SAS Employee

Please find below an overview of all user track presentations held at the SAS Forum Nordics 17 November - Virtual


Presenter Title
Anders Milhøj, Copenhagen University  Could raising taxes on cigarettes reduce smoking in Denmark?
Carl-Olow Magnusson, SAS Institute Lönelänken 3.0 – Salary Analytics for the Public Sector in Sweden
Carlos Pinheiro & Natalia Summerville, SAS Institute Location Network Analytics – How to Predict new Outbreaks of COVID-19?
Casper Pedersen , SAS Institute What is ModelOps – and how can it help and support you with your analytics work? DEMO
Cecily Hoffritz & Patric Hamilton, SAS Institute What’s New in SAS® Data Management on SAS® Viya® 4 
Christopher Blake, Boemska Improving Mean Time to Resolution and Root Cause Analysis using Boemska ESM - DEMO
Christopher Broxe, SAS Institute Supervision and Control/Inspections, DEMO
Fredrik Pettersson, Ericsson & Kevin Kalish, SAS Institute Industry 4.0 – Where AI meets 5G
Ina Conrado, SAS Institute Visual Text Analytics: How do I make sense of my unstructured data?
Marie Lienzén & Jesper  Weber Dohn, SAS Institute The magic of SAS® Learning Portals
Joonas Maunu, Ilmarinen SAS® Enterprise Guide®, code extraction and automation
Kjetil Kalager & Silje Nord, Amesto NextBridge Learning by Beeing
Kristoffer Nilsson, SAS Institute Are you ready for true cloud native computing? Meet the next generation of SAS® Viya®
Liisa Takkunen, Pasi Rautio, Satu Halttunen & Ville Meloni, City of Helsinki AI POC concept at City of Helsinki
Martin Sjöberg, Svenska Handelsbanken Structuring and Scripting SAS® Code with Proc Lua instead of SAS® Macro
Martin Vang Haugaard, 1813 PoC – Reducing patient callbacks using AI on the medical helpline 1813 
Ole-Martin Hafslund, SAS Institute SAS® Viya® and Microsoft Roadmap
Patric Hellgren, SAS Institute Analytics Value Training – A Learning Framework for Applied Analytics /AI
Peter Steffensen, SAS Institute Identification of blood sample mix-ups using SAS® Viya® machine learning
Philip Sierpinski, SAS Institute Expand your analytics with SAS® Visual Data Mining and Machine Learning - DEMO
Pia Skare Rønnevik, SAS Institute Survival tips for programmers in SAS® Viya®
Rahul Bhattacharjee, Telenor Norge AS  Data loading in SAS® Viya® 3.5
Sara Armandi, SAS Institute The Pizza Margherita Index
Thomas Thorning, SAS Institute Make better decisions across touchpoints with analytically driven marketing