On-Demand Webinar

Artificial Intelligence and pharma manufacturing: The truth behind the hype

This webinar, part of our Analytics in 20 series, explores how artificial intelligence can hold the key to new transformations in pharmaceutical manufacturing – but it’s important to understand what’s feasible.

About the webinar

In a highly regulated, risk-averse industry like life sciences, digital transformation in manufacturing operations can be challenging.

In this webinar, Maria Araujo, Director of Advanced Technology, Supply Chain Strategy, Innovation and Development at Johnson & Johnson, joins us for a practical discussion about how pharmaceutical companies can learn from use cases and avoid pitfalls when implementing AI.

Get more insight on how to improve efficiency and Overall Equipment Effectiveness (OEE) in manufacturing.

You will learn:

  • AI use cases around predictive maintenance, process control and process optimization in pharma manufacturing.
  • Avoiding revalidation.
  • Managing scale.
  • Ensuring explainability.

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About the Experts

Maria Araujo
Engineering Fellow and Director of Advanced Technology, Supply Chain Strategy, Innovation and Deployment at Johnson & Johnson

Maria Araujo leads a team focused on technology scouting, sourcing and development in sensing and IoT. Her areas of focus include smart asset optimization, digital worker, advanced process control, track & trace, robotics and automation. She uses emerging technologies – both commercial and in development – to enable J&J’s factory of the future.

Previously, Araujo was a manager of R&D at Southwest Research Institute, leading a team of engineers on embedded and machine learning-based automation systems development. She was the Principal Investigator on the U.S. Department of Energy's Smart Methane Leak Detection project, developing an automated methane leak detection system to detect greenhouse gases from midstream facilities using midwave IR imaging, machine learning and drones.

Araujo holds bachelor’s and master’s degrees in electrical engineering from the University of California, Los Angeles. She is the recipient of an R&D 100 Award, has several publications in sensing and machine learning, and was named one of San Antonio’s Top 40 Under 40 in 2017 by the San Antonio Business Journal.

Cameron McLauchlin, Senior Product Marketing Manager, SAS

McLauchlin is the global lead for industry product marketing for SAS’ business within the life sciences industry. She manages global marketing and sales enablement initiatives, with an emphasis on developing consistent and effective messaging to promote the benefits of SAS solutions to customers.

Alex Dähne
Principal Industry Consultant, Global Manufacturing Industry Practice, SAS

Dähne primarily focuses on driving the success of SAS Analytics in quality, reliability and maintenance. This involves engaging with customers globally to understand their needs and providing solutions. He provides input on the direction of the SAS Asset Performance Analytics solution. Prior to working at SAS, Dähne lead the automotive team at Atos in Germany, bringing more than 20 years of experience in production, supply chain and service management.