[DIA Europe 2023] Demystifying AI and ML For Non-technical Stakeholders

Presented by

Michael Meighu, CGI; Cedric Berger, F. Hoffmann-La Roche

About this talk

As a non technical stakeholder, ever felt giddy with the Artificial Intelligence and Machine Learning domain, lingo, terminology, applications etc.? This session provides an overview of "must knows" using everyday human language, examples, as well as provide hands on use case examples for lesson learnt discussions. This session will broadly outline various AI and Machine Learning approaches, and importantly as a business stakeholder, what are the touch points, and what a project “looks like” (that is how an AI project should be managed). It also has a short hands on session, using Deep Learning as a method to highlight what a data pipeline can look like, and “do’s and don’ts”. Workshop Outline: • Intro to AL and ML – why? What is the value? • AL and ML fundamentals, what non technical stakeholders should know. Reframing AI and ML in everyday human language. • What is Deep Leaning? A non technical stakeholder “need to know” overview. • Use Cases • What’s involved in an ML project, touchpoints for non-technical stakeholders. • What can go wrong in a ML project, typical problems Live example using real data • Q&A and discussion
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The Drug Information Association (DIA) is a global and neutral association that mobilizes the life science community (regulators, industry, healthcare professionals, patients, payers, and students) to identify and tackle the most complex health challenges. DIA brings all these stakeholders together to find and discuss solutions, build a more robust and innovative healthcare ecosystem and, ultimately, improve patient outcomes worldwide. DIA executes its mission by fostering timely and critical conversations and networking sessions across many platforms, including conferences, workshops, DIA-led research projects, structured training, eLearning courses, digital content platforms, and publications, without corporate funding.