KEYNOTE: Artificial Intelligence in a G x P Environment and its Impact on YOU – How to Stay Relevant in the AI World

Time: 10:45 am - 11:45 am

Date: 24 April 2024

24-april-2024 10:45 24-april-2024 11:45 Europe/London KEYNOTE: Artificial Intelligence in a G x P Environment and its Impact on YOU – How to Stay Relevant in the AI World

Martin was part of a collaboration who designed the first Qualified Person (QP) prototype to assist in product release decisions. Martin required 8 years of education and experience to become a QP, the ‘traditional way. In comparison, it required just 5 hours to ‘train’ the AIs neural networks everything they needed to know. Although the… Read more »

Making Pharmaceuticals

Synopsis

Martin was part of a collaboration who designed the first Qualified Person (QP) prototype to assist in product release decisions. Martin required 8 years of education and experience to become a QP, the ‘traditional way. In comparison, it required just 5 hours to ‘train’ the AIs neural networks everything they needed to know. Although the prototype is still under validation, it’s a sign of things to come, or is it? Martin’s session will be of interest to anyone wishing to stay relevant in a world dominated by AI by answering the most important questions of our time.

As AI becomes more capable, affordable, and available.

  • How will it continue to accelerate drug discovery and speed to market?
  • How could AI be used in decision making?
  • How could AI be used in risk mitigation by:
    • Identifying error patterns early on to allow prompt intervention.
    • Responding to adverse dug reactions, customer complaints faster and with greater accuracy and precision
  • Will LLMs (Large Language Models) be capable of writing your policies, validation protocols and SOPs?
  • How will AI improve preventive maintenance, right first time and other efficiencies?
  • At a personal level – how can you be sure AI is telling the truth, the whole truth and nothing but the truth?
  • Is this technology compatible with pharmaceutical regulations, specifications, and authorities’ expectations? How will we manage this transition?
  • AI and its unintended consequences – what are they and how do we prepare?

And finally, how do we prepare our people to work in collaboration with AI? What are the rules for us humans in the age of automation?

 

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