Real Life Case Studies in AI/ML
  • CODE : GAUR-0004
  • Duration : 60 Minutes
  • Level : Advanced
  • Add To Calendar
  • Refer a Friend

Mr. Walia is currently the VP of CSV/CSA/DI, and Digital Governance, Head of PQE Chicago Office, and Sr. Associate Partner at PQE Grou.p

Also, he is an Adjunct Lecturer at Temple University, School of Pharmacy, RA/QA Graduate Program.

With over 28 years of experience in Pharmaceutical/Medical Device and Consumer Healthcare environment with extensive experience in end to end processes such as Computerized Systems Validation, Computer Software Assurance, Data Integrity, Cleaning Validation QMS, SDLC, Agile and Waterfall Methodologies, Validation and Qualification (within, IT, Laboratory, Manufacturing for Standalone through Enterprise Systems), IT Policies and SOP generation, review, revision and approval, IT Infrastructure Review and Qualification/Validation and Audit/Documentation, overall Audit/Assessment Execution with GAP Generation and Remediation, Customer and Vendor Audit and Compliance Quality Assurance Compliance and Laboratory Analyses. He also recently has been involved in the areas of Cybersecurity, Machine Learning and AI.

Mr. Walia has over 100 FDA Audits/Inspections under his belt as well as 3 Major Consent Decree Projects focusing on Computer Systems Validation and Data Integrity, and is also a former Director of R&D, Quality, and IT CSV.

Mr. Walia is a Member of PDA and ISPE as well as a contributing expert with publications for KENX, Executive Advisory Board Member for IVT/Informa, and current Vice Chairman in Chicago for the American Society for Quality (ASQ)


Real Life Case Studies featuring ML/AI, including Predictive Maintenance, Defect Detection, Environmental Monitoring, CAPAs, etc.

  • Demonstration of Foundation of AI/ML
  • Demonstration of Real Case Studies in Industry (non-Life Science)
  • Demonstration of AI Validation Workflows and Process
  • Real Life Case Studies featuring ML/AI in Life Sciences, including:
    - Predictive Maintenance,
    - Defect Detection,
    - Environmental Monitoring,
    - CAPAs, etc.

Takeaway Tools

  • FDA AI Draft Guidances Discussion
  • Global Progress in AI
  • Key areas of AI success
  • Real examples of how to AI implementation and proof of concept journey

Areas Covered

Real Life case Studies in AI/ML, AI Draft Draft Guidances by FDA and EU AI Act

Who Should Attend    

Sr. Manager, Director, VPs, Validation, Quality, IT

Why Should You Attend

People should attend that want to know the latest trends in Machine Learning and Artificial Intelligence.   In addition, if you want learn about FDA’s recent Draft Guidance in AI.

You will learn by attending the concept f the EU AI Act.

Don’t miss out to stay up to date on our Industry Trends in ML/AI

Topic Background

Demonstrating the Main concepts of CSB, including FDA regulations like Part 11.

  • $199.00



Webinar Variants


contact us for your queries :

713-401-9995

support at grceducators.com



Secure Payment