Regulatory Analytics: Stories of Technology Innovations Driving Transformation in Regulatory Compliance

Regulatory Analytics: Stories of Technology Innovations Driving Transformation in Regulatory Compliance

Regulatory Analytics is a growing category of information analysis which involves gathering and storing relevant data and mining it for patterns, discrepancies and anomalies. Advanced analytic solutions and new technologies are transforming what were previously manual, slow, costly processes helping to glean insights from mountains of records collected across organisations delivering wholesale change in how regulatory compliance challenges are managed.

This event brought together speakers from regulated industries such as Agtech, Pharma, and Higher Education to illustrate how cutting edge technologies such as Machine Learning, AI and Blockchain are driving transformation and innovation within these regulated environments.

Attendees were able to interact and explore innovations in Data Science in our live demo showcase, while networking with peers.

SPEAKERS:

David Hawe, Cork Institute of Technology

Mick Phelan, Johnson & Johnson
Karl O’Connell, Irish Cattle Breeders Federation

Learn more about the Analytics Institute.

Michael Phelan, Johnson & Johnson

Dr. Michael Phelan is a passionate analytics leader with over 17 years’ experience collaborating with customers and stakeholders to identify the correct strategy and execution of analytics and digital transformation projects. Michael has extensive experience working across educational, electronics, service and healthcare sectors; including strategy and team development, project execution and promotion.

Michael is a member of the Irish Government Industry 4.0 Steering Group and the Analytics Institute Munster Advisory Council. He lectures in Data Science at CIT and has published articles on Supply Chain analytics in several international peer reviewed journals and books and presented at international conferences.

Michael is a certified Data Science professional and Scrum Master and was named “Data Scientist of the Year” at the 2018 DatSci Awards.