How AI is making a difference in society

Inside the techniques and technologies that make ‘data for good’ a reality

Complimentary Breakfast Briefing
Wednesday 16th October 2019
8 Fenchurch Place, London, EC3M 4PB 

How are health and welfare organisations changing lives by using data for good? Get first-hand accounts of the AI principles, techniques and technologies that are saving lives and detecting criminal activity in the most complex environments.

Join our experts to explore real-world use cases and gain advice on how to put AI into action in your organisation as part of the worldwide Data for Good initiative.


Tom Sabo
Principal Pre-Sales Solutions Architect, SAS

Haidar Altaie
Data Scientist, SAS UK&I


Wednesday 16th October 2019
8:00 – 08:30
Registration and breakfast
8:30 – 8:40
Introduction: Using AI for good
8:40 – 09:20

An Artificial Intelligence Framework to Combat Human Trafficking
Human trafficking is a global epidemic. The scale, complexity and borderless nature of the abuse can stymie law enforcement, victim support programs and prevention efforts. Data from agencies and organizations focused on human trafficking is vital to these efforts. What if we could use the power of AI to fight for the powerless?
In this talk, Tom Sabo will describe an AI framework for countering international human trafficking, and explain how to:

  • • Apply text-based machine learning and rule-based text extraction to generate training for modeling efforts.
  • • Enable investigators, stakeholders and analysts to tap all the relevant data to inform better decisions.
Tom Sabo Principal Pre-Sales Solutions Architect,  SAS
09:20 – 10:00

Using Machine Learning to Predict Stent Failure
Have you ever wondered where Machine Learning can fit into the healthcare industry to make medical procedures more safe and effective?
We will be exploring this with a live demo of a use case where we predict what causes a Stent Failure. A Stent is a tiny tube that a doctor can insert into a blocked passageway to keep it open, for example to allow blood flow in a blocked up blood vessel. We will also cover:

  • • The application of Advanced Analytics and Machine Learning using SAS Viya
  • • Open source integration like R/Python to cover the full analytics lifecycle
  • • Other AI use cases in the healthcare industry
Haidar Altaie Data Scientist, SAS UK&I
10:00 – 10:15Wrap up

8 Fenchurch Place, London, EC3M 4PB 


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