Machine Learning, Deep Learning and Artificial Intelligence 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 (ML) and Deep Learning(DL) 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 Post-Conference Focus Day and hear from companies leading the way in this space. Learn about how 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.

7.45am- 8.45am

Breakfast Roundtable

Brandon Bunker
Sr. Director of Customer Analytics and Artificial Intelligence - Vivint Smart Home

9.00am- 9.30am

Keynote Presentation: Demystifying Artificial Intelligence, Machine Learning, and Deep Learning

Examining the market and technological and theological advances that have occurred and sparked renewed interest in this space. What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning? Exploring the origins and current ecosystems. What are the opportunities and risks for using Machine Learning within your business and our everyday lives?

Bill Hoffman
Chief Analytics Officer & Head of CRM - U.S. Bank

9.30am- 10.00am

Keynote Presentation: Cognitive Computing, Machine Learning, and applied AI for Improving Humanity, Innovating products, and creating efficiencies

Is it Cognitive? Why human behavior is basis for all strategic activities Addiction Treatment Fraud: ‘bad’ behavior in ‘good recovery’ industry Mapping business challenges and indicators to data science, AI, swarm intelligence, and Cognitive Computing Steps, and results, the discipline of technology can accomplish


10.00am- 10.30am

Panel Discussion: Exploring the Machine Learning value proposition

Is Machine Learning/AI/Cognitive just a passing fad, or is it here to stay? Should you invest in these new technologies and approaches or not? What is the value, and is it tangible and quantifiable? Constantly evolving and learning – exploring the ways in which Machine learning can be used to process huge amounts of unstructured… Read more.

Harsh Tiwari
SVP, Chief Data Officer - CUNA Mutual Group
James Gottshall
VP, Strategic Analytics - XL Catlin
Bradley Fay
Senior Data Scientist - Wayfair
Guizhou Hu
Chief Decision Analytics - Gen Re

11.00am- 11.30am

Keynote Presentation: Machine Learning in the Enterprise – A Practical Perspective

Prominent Use Cases – What is the low hanging fruit Challenges to implementation Return on Investment

Dave Bhattacharjee
Vice President, Data Analytics - Stanley Black and Decker

11.30am- 12.00pm

Keynote Presentation: Democratization of Machine Learning

In what ways will machine learning both support and drive today’s data scientists and advanced analytics leaders to the future. What opportunities does Apache Spark present and in what ways is it broadening access to Machine Learning? Discussing practical use cases for machine learning, from cyber security and fraud detection to recommendation engines.


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.

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

12.30pm- 1.00pm

Keynote Presentation: AI enabled technologies for driving data and product innovation

Chantal Berthiaume
Director, Commercial Analytics & Customer insight - Air Canada
Yannis Kotziagkiaouridis
Global Chief Analytics Officer - Wunderman

2.00pm- 2.30pm

Keynote Presentation: Embedding Machine Learning into business processes at scale using a factory approach

Create and train predictive models using automated techniques and enable business analysts to play a key role in the predictive value chain Deploy and maintain thousands of predictive models across your enterprise and allow your data science team to maintain each at peak performance with a minimum of effort Examine the complementary role automated predictive… Read more.

Nitzan Mekel-Bobrov, Ph.D.
Vice President of Data Science & AI - Hearst Corporation

2.30pm- 3.00pm

Keynote Presentation: Minority Report – Predicting Corporate Misconduct

Discussing approaches for early fraud and misconduct detection – is there a way to stop it before it happens? Examining algorithms that serve as early warning systems predicting and detecting corporate misconduct, What interesting legal and ethical questions do such systems raise?


3.00pm- 3.30pm

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.


4.00pm- 4.30pm

Keynote Presentation: A.I. and new vaccines- Beyond clinical study results to real life insights

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

4.30pm- 5.00pm

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.

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

5.00pm- 5.30pm

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.

William Groves
Chief Data & Analytic Officer - Honeywell
Alfred Essa
Vice President, Analytics & R&D - McGraw Hill Education
Neal Silbert
Former Predictive Analytics Vice President - Zurich North America

5.30pm- 7.00pm

Drinks Reception