Emerging trends and technological breakthroughs are rapidly changing the data science and machine learning landscape today. These forces bring new challenges as well as new opportunities. This session will cover these trends as well as highlight the common pitfalls to avoid in order to be successful regardless where you are on this journey.

1. Copyright © SAS Institute Inc. All rights reserved.
Forces Shaping Data Science and
Machine Learning Today
CDAO Public Sector, 30 May 2018
Felix Liao – Analytics Platform Lead

2. Copyright © SAS Institute Inc. All rights reserved.

3. Copyright © SAS Institute Inc. All rights reserved.

4. Copyright © SAS Institute Inc. All rights reserved.
Agenda
• Why should you care
• Challenges
• Opportunities
• How to get started

5. Copyright © SAS Institute Inc. All rights reserved.
• Why should you care
• Challenges
• Opportunities
• How to get started

6. Copyright © SAS Institute Inc. All rights reserved.
Challenge – Where are the data scientists?
*The Quant Crunch: How The Demand For Data Science Skills Is Disrupting The Job Market,

7. Copyright © SAS Institute Inc. All rights reserved.
A collaborative approach to data science
PERSONAS AND FOCUS AREAS

8. Copyright © SAS Institute Inc. All rights reserved.
Develop your citizen data scientists
Gartner defines a citizen data scientist as a person who creates or generates
models that use advanced diagnostic analytics or predictive and prescriptive
capabilities, but whose primary job function is outside the field of statistics and
analytics.
BI/Reporting Analysts Citizen Data Scientists Core Data Scientists

9. Copyright © SAS Institute Inc. All rights reserved.
How to get there
* Gartner Data & Analytics Summit 2018

10. Copyright © SAS Institute Inc. All rights reserved.
What correlates with child mortality?

11. Copyright © SAS Institute Inc. All rights reserved.
What correlates with child mortality?

12. Copyright © SAS Institute Inc. All rights reserved.
• Why should you care
• Challenges
• Opportunities
• How to get started

13. Copyright © SAS Institute Inc. All rights reserved.
Past to Present
1950s 1980s 2010’s Present
Evolution
Classical
Modern
Artificial
Intelligence
Machine
Learning
Artificial
Intelligence
/Cognitive
Computing
Deep
Learning
Neural Network

14. Copyright © SAS Institute Inc. All rights reserved.
Neural Networks
Convolutional
Neural Networks
(CNN)
Auto Encoder
(AE)
Recurrent Neural
Networks (RNN)
Long Short Term
Memory (LSTM)
Gated Recurrent
Unit (GRU)
Deep Neural
Network (DNN)
Deep Learning
…
Perceptron Feed Forward Networks (FF);
Radial Basis Networks (RBF)
Support Vector Machines (SVM)
…

15. Copyright © SAS Institute Inc. All rights reserved.
Why deep learning today?
* Kaggle - https://www.kaggle.com/kanncaa1/deep-learning-tutorial-for-beginners

16. Copyright © SAS Institute Inc. All rights reserved.

17. Copyright © SAS Institute Inc. All rights reserved.
Why should I care – new deep learning use cases
Deep Learning
Image Classification

18. Copyright © SAS Institute Inc. All rights reserved.
• Why should you care
• Challenges
• Opportunities
• How to get started

19. Copyright © SAS Institute Inc. All rights reserved.
Public Sector Use Cases – Predictive Modelling
Improved
customer
experience
Predictive
service
provision
Ease
compliance
efforts
Increase
productivity
Policing/
security

20. Copyright © SAS Institute Inc. All rights reserved.

21. Copyright © SAS Institute Inc. All rights reserved.
Fraud Detection
Credit Analysis
Risk Management
Retail
Claims
management
Call center
automation
Claims fraud
Predictive
Diagnostics
Biomedical
Imaging
Health Monitor
Customer Journey
Optimisation
Automated Defect
Detection
Churn Analysis
Supply Chain
Optimisation
Contextual
Marketing
Next Best Offer
Insurance
Heath and
Life Sciences TelcoBanking
Use Cases – Insights from other industries

22. Copyright © SAS Institute Inc. All rights reserved.
Let’s get started
• Find your interesting and high value business problem
• Leverage the resources you have today
• Think beyond traditional data structure and approach

23. Copyright © SAS Institute Inc. All rights reserved.
Thank You
http://www.sas.com
Felix.liao@sas.com
https://www.linkedin.com/in/felixliao