Presentations SAS Forum Nordics 2020, 17 November - Virtual

[DorteBrix]

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