Pre- Conference Focus Day


Machine Learning, Deep Learning and AI for Strategic Innovation

Artificial Intelligence (AI) in its multiple forms and guises, has huge potential to change the ways in which we live and work . As we all know, AI, Machine Learning and Deep Learning are not new, however, there has been huge investment in the space in recent years and the ability to automatically apply complex mathematical calculations to Big Data – over and over, faster and faster – is a fairly recent development. With steady advances in digitisation and cheap computing power, no wonder people are excited about the possibilities.

Join us for this Pre-conference Focus Day and hear from companies leading the way in this space. Learn about the ways in which they are using ML, DL and AI in practical ways within their businesses, to improve internal efficiencies, drive profits, better serve their customers, fight crime and even save lives.


8.30am- 9.00am

Chair’s Opening Remarks


9.00am- 9.30am

Keynote Presentation: Demystifying Machine Learning

What exactly is Machine Learning? Exploring the origins and current ecosystem. In what ways is Machine Learning different to AI, Data Science, Data Mining, Analytics, cognitive, etc. What are the opportunities and risks for using Machine Learning within your business?

Vishwa Kolla
VP, Head of Advanced Analytics - John Hancock Insurance

9.30am- 10.00am

Panel Discussion: The AI and automation revolution

Machine learning algorithms aren’t new, but the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. With steady advances in digitization and cheap computing power, what tangible opportunities does this present for optimizing your business and processes? Human vs. Machine – Discussing… Read more.

Vishwa Kolla
VP, Head of Advanced Analytics - John Hancock Insurance
William Groves
Chief Data & Analytic Officer - Honeywell
Chandler T Wilson
Director of Analytics and Insights for Corporate Affairs - Walmart

10.00am- 10.30am

Keynote Presentation: Demystifying Deep Learning

What exactly is Deep Learning? Differences from traditional Machine Learning; current state of technology How does it work? Technical underpinnings; different types of neural networks What are common use cases? Most common applications of DL How can I jump start DL capability in my organization on a shoe string budget? Open source tools, libraries including… Read more.

Alfred Essa
Vice President, R&D and Analytics - McGraw-Hill Education

10.30am- 11.00am

Morning Coffee & Networking

11.00am- 11.30am

Keynote Presentation: Artificial Intelligence and vaccine development – Obstacles and opportunities

It took 20 years to develop the first ever vaccine against dengue disease. What are the obstacles in exploring the wealth of data generated over time? Is AI hype or can it really be a tool to augment researchers’ knowledge of the field? How?  What may need to change? How could AI be a force… Read more.

Dany De Grave
Senior Director InnX: Innovation Programs and External Networks - Sanofi Pasteur

11.30am- 12.00pm

Keynote Presentation: Think big, prototype small, scale fast

Discussing the ways in which Machine Learning can not only generate accurate predictions and models and the ways in which it can it help to better tap the wealth of expertise, insight and knowledge across an organization and in its data stores. Using Machine Learning algorithms to learn from history predict from streaming data and… Read more.

Christina Hoy
Vice President, Corporate Business Information & Analytics Division - Workplace Safety and Insurance Board (WSIB)

12.00pm- 12.30pm

Keynote Presentation: Machine Learning for a nimble way to develop services and better serve your customers

Exploring the ways in which leading companies are utilizing Machine Learning and Deep Learning techniques to better serve and understand customers… With the expansion of the IoT and the wealth of data it creates, what are the opportunities for your business and what are the potential benefits for your customers? Keeping up with demand –… Read more.

Esteban Arcaute
Senior Director, Head of Data Science - WalmartLabs

12.30pm- 1.00pm

Keynote Presentation: Changing Lives in healthcare through Deep Learning

How can Big Data and Machine Learning make patient lives better? Is it possible to develop sophisticated algorithms that can spot patient illness before they’ve been identified? What would the ramifications be in society either-way? Review a case study on Duchene Muscular Dystrophy and leveraging a predictive model. How can frameworks like Theano, Torch and… Read more.

Douglas Barr
VP, Digital Innovation - Havas Health

1.00pm- 2.00pm

Lunch & Networking

2.00pm- 2.30pm

Keynote Presentation: Cognitive Search – The next generation of information access

Exploring the core principles of Cognitive Search, and understanding the factors of success. What is realistic at this stage of the technology’s maturity, and what groundwork needs to be laid for a successful implementation. Product data, customer data and curated content at the heart of Cognitive Search. Case study examples discussed.

Cetin Karakus
Global Head of Analytics Core Strategies, IST IT&S - BP

2.30pm- 3.00pm

Keynote Presentation: Machine Learning Driving Client Insights for Corporate Banking

Publicly available data on corporate clients combined with what banks know about the clients internally create an opportunity to understand clients’ behavior to serve them better and drive business value. We discuss application of machine learning techniques to these traditional business problems. Machine learning and, particularly, deep learning produces astonishingly accurate results at the expense… Read more.

Ivan Sergienko, PhD, CFA
Director of Data Science & Analytics at Global Banking & Markets - Scotiabank

3.00pm- 3.45pm

Panel Discussion: Leveraging Machine Learning and advanced analytics to deliver business value

Best practices in choosing, designing, and implementing from the portfolio of analytical methods including real-time, geospatial, machine learning, statistical, and “big data” Discussing ways to operationalize the results from advanced analytics and models and put them in to action? How do we integrate Internet of Things, pervasive sensing, and the cloud into my companies existing… Read more.

Ivan Sergienko, PhD, CFA
Director of Data Science & Analytics at Global Banking & Markets - Scotiabank
Brandon Bunker
Sr. Director of Customer Analytics and Artificial Intelligence - Vivint Smart Home
Esteban Arcaute
Senior Director, Head of Data Science - WalmartLabs

3.45pm- 4.00pm

Chair’s Closing Remarks


4.30pm- 6.30pm

Organized Social Activity

Details to be announced shortly. Spaces for this activity will be limited and on a first come first served basis. If you interested in joining this activity please [email protected]