Presentation Archive

November

What's New at SAS?: Alice Yuan, SAS Canada

Don't Lose Information from Catergorical Inputs in Machine Learning: Alex Glushkovsky, BMO Financial Group

Modernizing Your Analytics Envrionment: Raymond Outar, Jeffrey Du & Kumaran Sivagnanam, Deloitte

The Value of Stars on Broadway: A Case Study: Kyle Maclean, Ivey Business School

Where to Find Fresh Talent: Diving into the Higher Education Pool: Miranda Wickett, Ivey Business School

May

The Talking Machine: Sequence to Sequence Learning Using Deep Neural Networks: Omar Khalil, Deloitte

Analytics for Safe Roads: Real Data, Real Solutions: Corinne Blanchet and Farid Rasi, George Brown College

SAS Viya Takes on Open-Source: Jiva Kalan, Deloitte

Doing Reproducible Work with SAS and Jupyter Lab: Daymond Ling, Seneca (Live Demo)

November

What's New at SAS: Alexandra Jovicic, SAS Canada

Machine Learning: Ready to Go Solutions or Complex Scientific Projects? Alex Glushkovsky, BMO

May

Prescriptive Analytics: Using Optimization with Predictive Models to Find the Best Action: Mamdouh Refaat, Angoss

Are New Modeling Techniques Worth It?: Tom Zougas, TransUnion  

Timing is Everything: Daymond Ling, Seneca College

November

Ensemble Modeling 101 - Looking Into the Black Box: Helen Ngo, Bell Canada

Text Analytics - Use Cases & Value: Cindy Zhong, SAS Canada

Artificial Intelligence - An Introduction to Deep Learning & Artificial neural Networks: Labeed Khan, GM BluePlan Engineering

May

Outline Outliers: Adding a Business Sense: Alex Glushkovsky, BMO Financial Group

Real AdaBoost: Paul Edwards, Scotiabank 

Visual Data Mining & Machine Learning on Viya: Lorne Rothman, SAS Canada

November

Random Forests: Basics and Advantages: Antoni Dzieciolowski, SAS Canada 

Big Data, Big Headaches: An Agile Modeling Solution Designed for the Information Age: Meriam Seirafi, Cornerstone Group of Companies 

SAS and Open Source: Matt Malczewski, SAS Canada

May

Customer Credit and Pricing Optimization: Yuri Medvedev, Bank of Montreal

Methodologies of LGD Confidence Interval Calculation: Cathy Bei Li, CIBC

Open Source and SAS: Pat Valente, SAS Canada

November

Update from SAS: Warren Woermke, SAS Canada

How to Positively Affect ROI through Effective Marketing: Joanna Carbajal, Sandbox 

Real-Time Analytics: Myths, Tactics & Level-Setting: Tim Trussell, SAS Canada

Predictive Model Robustness Validation: Charles Chen, TD Bank Financial Group

Statistics and Social Issues: Joyce Chen, IMS Health

Transforming Web/Digital Data to Customer Information: Cory Narvaez, Scotiabank

May

News from SAS: Matt Malczewski, SAS Canada

Product Recommender System in Retail: Pramod Dogra & Iqbal Habib, Shoppers Drug Mart

SAS Enterprise Miner for Non-Traditional Targets: A Look at Survival Modeling, Net Lift and Time Series Similarity Analysis

B2B Sales Analytics: What Activities in Your Sales Cycle are Winning Business?: John Amrhein, McDougall Scientific Ltd.

Introduction to Ensemble Learning in Credit Risk Modelling: Han Sheng Sun, BMO & Zi Jin, Wells Fargo

Update from SAS: Matt Malczewski, SAS Canada

The Use of Data in Commercial Lines: Dahchour, Scarth & McGee Northbridge

Reject Inference for Credit Adjudication: van Berkel BMO

Logistic Regression Model: Jiarui Dang

Scoring Models, Probability Transformations & Model Calibration: Benamara, Dzieciolowski Rogers

SAS EM Code Node Tips: Lorne Rothman SAS Institute

SAS Visual Analytics: Trussell SAS Institute

Pricing Optimization Unsecured Lending: Jane Zhong Scotiabank

Survival Model and Attrition Analysis: Charles Chen, TD Canada Trust

Data Quality Assurance: Mahmoud Azimaee, University of Manitoba

Computer Resource Usage in Data Mining: Masoud Charkhabi, CIBC

Modeling Interaction Effects in Linear and Generalized Linear Models: Timothy Gravelle, PriceMetrix Inc.

Survival Data Mining in SAS EM: Lorne Rothman

Experimental Design Techniques: Saaramaki

SAS Text Analytics: Tim Trussell, SAS Canada Inc.

Philosophy and Practice in Fraud Detection Analysis: Mario Wen

Practical Data Governance Use: Alex Salvas, National Bank

Segmentation Do's and Don'ts: Daymond Ling, CIBC

Scenario and Stress Testing Using SAS/IML: Dimitry Donin, Dmytro Koral & Mykola Tkachenko, BMO

The Curious Complications of Confounding Covariates: Derek de Montriachard, CIBC

Banking Credit Risk Data Quality Control: Mark An, CIBC

SAS in Social Media: Matt Malczewski, SAS Canada Inc.

Social Network Analysis: Dan McKenzie

Create the Most Powerful CRM System (in 1996): Ray Kong, Ipsos Reid Corporation

Net Lift and Return Maximization: Victor Zurkowski, CIBC

Spline Modeling for Non-Linear Trends: Derek Montrichard, CIBC

Ensuring Model Performance: Gene Jigota, TSBC Consulting

An Elasticity Similarity Distance & Application: Kelvin Li, CIBC

Data Expansion in Credit Risk Modeling: Mark An CIBC

Data Mining in Business Analytics for Decision Support: Albert He, Scotiabank

Web Analytics Full Circle - Back to the Data Mine: Christopher Berry, Critical Mass

Predictive Modeling in Retail: Jim Godfrey, SAS Canada Inc.

Comparing Different Classification Techniques in Credit Scoring: Saed Sayad, iSmartsoft

Improve Marketing Campaign Using Uplift Modeling: Ryan Zhao, Analytic Resourcing Centre

Challenge of Variable Reduction in External Acquisition Modeling: Mariam Seirafi, Cornerstone Group