About the webinar
Lemay.ai’s CTO Daniel Shapiro Ph.D. dives into the role of machine learning for predictive maintenance in MRO and in-service support in Aerospace and Defence. The webinar will focus on how the application of AI and machine learning can increase asset availability, and reduce maintenance costs and unscheduled downtime. Taking into account the history of parts can provide better reliability than datasheet-based maintenance. The presentation will cover techniques lemay.ai can apply to use your historical maintenance data to manage maintenance. These include time-series analysis, demand forecasting, outlier detection, and survival models.
About the speaker
Daniel Shapiro Ph.D. is the CTO of Lemay.ai and leads a team of data scientists and machine learning engineers focused on developing custom AI solutions. He holds a Ph.D. in Computer Science and Machine Learning from the University of Ottawa. He has 14 years of experience in research and development and has developed machine learning solutions for aerospace and defence clients, governments, and NATO.
Daniel is an AI Contributor in Forbes Magazine and has published over 30 peer-reviewed papers and over 90 articles on deep learning and neural networks.
Webinar details are as follows -
Date - 03/18/11
Time - 9:00AM (EST)
Register here - https://bit.ly/2Pq7zTY
Hope to connect soon!
Team Lemay.ai
L’Association des industries canadiennes de défense et de sécurité (AICDS) est la voix nationale de l’industrie canadienne de la défense et de la sécurité. Représentant près de 1 800 entreprises d’un océan à l’autre, l’AICDS préconise une base industrielle compétitive, innovante et résiliente qui contribue à la sécurité, à la souveraineté et à la prospérité économique du Canada.
Le AICDS est la voix nationale des secteurs de la défense, de la sécurité et de la cybersécurité du Canada. Nous établissons des liens entre l'industrie et les partenaires gouvernementaux et internationaux afin de promouvoir l'innovation, la collaboration et la croissance.
