CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities.

In his talk, Patrick delved into the distinct characteristics of data as a digital asset and examined the challenges of striking a balance between data valorization and privacy. Emphasizing the importance of data management in large organizations, such as financial institutions, he addressed the emerging challenges posed by privacy laws and the rapid growth of AI. Through a discussion of evolving practices like privacy-by-design, advances in privacy engineering, and innovative privacy technologies such as data synthesis, he offered valuable insights for navigating the intricate future of data privacy within organizations. Furthermore, he brought to light potential future disruptors, such as open banking in Canada, particularly relevant to the finance sector.

About the Speaker:

Patrick Mesana began his career as a software engineer, gaining experience with consulting companies and startups before transitioning into the field of Data Science. As a former manager in the Data Office of National Bank of Canada (NBC), Patrick encountered numerous data management challenges. He is currently pursuing a PhD in decision science to explore the tradeoffs between data privacy and data value. In addition, Patrick serves as a researcher and scientific lead on these topics for the AI Factory at NBC.

The webinar recording is available to view on our CREATE SE4AI YouTube channel.

Deploying Effective Machine Learning Models in Production: Two Use Cases

Dr. Gabor Melli, VP of Engineering, AI/ML at San Francisco-based Medable joined us for our first industry talk webinar of 2023! Gabor Melli is a seasoned professional with a proven track record of leading teams and driving positive change within organizations. His background includes implementing evidence-based solutions and facilitating change at large enterprises such as Sony PlayStation, Microsoft, AT&T, T-Mobile, and Wal*Mart, as well as at start-ups including Datasage, Meals.com, VigLink, OpenGov.com, and Medable.com. Gabor has also presented his research at various applied AI research conferences, including AAAI, KDD, LREC, and ICDM.

Abstract

Predictive machine learning has the ability to automate and optimize workflows across a wide range of industries. In this session, we will explore real-life examples of how predictive machine learning is being used at Sony Interactive Entertainment (SIE) and Medable. At SIE, we will delve into their scalable, real-time, low-latency predictive ML-based solutions that are implemented on the cloud in order to personalize purchasing and playing experiences. Medable, on the other hand, has implemented an automated, decentralized clinical trials platform on the cloud in order to greatly improve efficiency and accuracy. Throughout this session, we will also discuss the role of machine learning engineering and the exciting opportunities that lie ahead in this field. Overall, this session aims to provide a comprehensive overview of the various applications and potential of predictive machine learning.

The webinar recording is available to view on our CREATE SE4AI YouTube channel.