Validation Considerations for AI-enabled SaaS

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Event overview

Artificial Intelligence is on everyone’s mind. It impacts our daily lives in things from auto-complete/auto-correct in text messages to more nefarious uses like writing an essay or article for publication. It is also entering the world of the SaaS solutions we use in Life Sciences.

While the intelligence might be “artificial”, the validation concerns are real. AI-enabled SaaS, when working well, supercharges our Life Sciences applications. When not, things can go off the rails quickly – and not by just a little bit.

Join us as we discuss things to consider when adopting AI features in applications and how those features impact your Computer Systems Validation efforts.


Three key take-aways

In this session, you’ll learn:

  • How AI-enabled SaaS solutions change the conversation about Computer Systems Validation
  • Current approaches to SaaS validation and where they may fall short when addressing AI Validation
  • Data Testing Volume vs. Single-pass Validation Approaches





Lou Pasquale
Director Client Services
IQVIA Technologies

Lou Pasquale heads up the Client Services organization supporting IQVIA’s eTMF SaaS application and related technologies. Lou’s team performs new client implementations, provides migration and integration services, and delivers a variety of Professional and Managed Services for IQVIA’s eTMF customers. Lou has 30+ years of experience delivering software solutions and professional services to clients in Life Sciences and is a frequent speaker at industry conferences for eTMF, clinical quality, compliance, and related technologies.
 

Over the years, Lou’s work history includes IT consulting, systems integration, large-scale data migrations, application development, and SaaS software development and delivery. These combine to give a breadth of experiences representing the perspectives of a software vendor and a client/consumer of software services.
 
 

LinkedIn: https://www.linkedin.com/in/louispasquale/  


For any technical questions please contact Jordan Ramesh: jramesh@mjhlifesciences.com
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