Cloud-based Digital Transformation in large enterprises
When: September 23, 2022 – 12:00pm to 1:00pm
Where: Online (Virtual)
Registration Link: Eventbrite Link
In every industry around the world, organizations adjust to challenges, pursue new business opportunities, and accelerate their digital capabilities. Disruption demands the capacity to turn challenge into opportunity. In today’s world, this capacity is built on a strong digital foundation. We have heard it over and over: Organizations that had already begun their digital transformation journey felt better equipped to respond to rapid and unpredictable change. Now, many of these organizations are thriving, and adapting faster than ever. Early investment in a strong digital foundation made the difference for organizations to be able to weather the storm. But the landscape is continuing to change for all of us, and it has become clear that “business as usual” will not be part of the new norm.
In this lecture, some key elements of a Cloud-Based Digital Transformation Strategy will be presented. It will be demonstrated how Cloud Adoption Framework (CAF), Well Architected Framework (WAF), Artificial Intelligence & Machine Learning, Security and Cybersecurity, Environmental Sustainability contribute to the success of a such strategy and help large enterprise in their digital transformation.
Samir Sahli was awarded the B.Sc. degree in Applied Mathematics from University of Nice Sophia-Antipolis, France in 2004 and Ph.D. degree in Physics from University Laval in 2013. During his graduated studies, Dr. Sahli worked with Defence Research and Development Canada (DRDC) on the automatic detection and recognition of targets in aerial imagery.
Dr. Sahli joined McMaster University in 2013, as Postdoctoral Fellow. His research was in the field of optics, image processing as well as in machine learning. He was involved in several projects such as the development of a novel generation of Gastrointestinal tract imaging device with Pentax; the hyperspectral imaging of skin erythema for individualized radiotherapy treatment with INRIA Sophia Antipolis and; the automatic detection of precancerous Barrett’s esophageal cell using fluorescence lifetime imaging microscopy and multiphoton microscopy at McMaster with the Biomedical Engineering laboratory.
In 2015, Dr. Sahli joined BAE SYSTEMS Applied Intelligence where he developed several machine learning models, to detect complex fraud patterns and money laundering schemes, that were used by customers in Fintech industry and by governments.
In 2021, Dr. Sahli has been appointment as an Industry Professor in the School of Biomedical Engineering. He lends his combined experience with industry and applied research in biomedical engineering to his collaborations with members of School through workshops, symposiums and graduate lectures.
Dr. Sahli has worked with Microsoft Canada since 2018 where he has held several positions. Today, as National Digital Data&AI Specialist, Dr. Sahli’s main goal is to help Microsoft’s customers with their digital transformation. He provides his Data&AI expertise for Canadian customers from coast to coast and within different industries and governments.