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
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