Time
4:00 PM – 5:30 PM, Central European Time (CET)
10:00 AM – 11:30 AM, Eastern Time (ET)
Overview
Most discussions around digital twins in pharma focus on static or semi-live representations (digital models or digital shadows). True digital twins, however, are dynamic, interoperable systems that reflect and can anticipate real-time behavior across the production environment. This session explains what sets true digital twins apart and how they deliver value in regulated biopharma settings. We will cover the key distinctions between digital models, digital shadows, and true digital twins, and outline requirements for creating GMP‑compliant digital twins.
The role of interoperability, contextualized data, and real-time AI as core enablers of value will be explained, along with how digital twins are reshaping Continued Process Verification (CPV). The session presents CPV of the Future with findings from an Aizon‑led study using an AI‑driven fermentation twin and explores practical use cases such as predictive quality and deviation prevention, closed‑loop optimization with intelligent alerts, and scalable tech transfer for continuous improvement.
Join us to discover what true digital twins entails in regulated industries like biopharma.
Speakers
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Kevin BaughmanVP of Aizon AI Consulting ServicesKevin Baughman is the VP of Aizon AI Consulting Services where he is responsible for the delivery of value-based solutions that transform customers’ operations by merging technology with strategic vision. He has held multiple customer-facing roles, ultimately landing in consulting specializing in Artificial Intelligence and cloud-based solution integration. As a consultant, he has led projects in both the private and public sector for clients in many industries, including finance, insurance, transportation, healthcare, and pharmaceuticals.
Kevin attended N.C. State University for both undergraduate and graduate school where he received B.S. degrees in Applied Mathematics and Economics as well as an M.S. degree in Advanced Analytics from the Institute for Advanced Analytics.
Now at Aizon, Kevin continues to deliver value by working hand-in-hand with customers to co-create, develop, and implement strategic, AI-focused solutions.
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Vitaliy KogutAI Consultant & Data Scientist, AizonVitaliy Kogut is an AI Consultant & Data Scientist at Aizon, where he works on the implementation of digital twin technology and develops machine learning models to solve manufacturing challenges, optimize processes, and enhance analytics in the pharmaceutical industry. Currently pursuing a PhD in digital twins at Universitat Rovira i Virgili, Vitaliy blends advanced research with practical expertise in Industry 4.0 solutions. Holding a master’s degree in engineering, he brings a strong educational foundation in technical systems and data analytics, enabling him to excel in developing strategies for predictive maintenance, process optimization, and system integration.
Partner
Aizon
Website
http://www.aizon.aiAizon pioneers Intelligent GxP Manufacturing: eliminate paper, boost yield, cut deviations, and ensure quality with AI, in just a few weeks.
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Who Should Attend
- Pharma manufacturing (pharma/biopharma/cdmo/cmo)
- Quality
- Process
- Digital
- AI / Data Science - Skill Level Novice
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Topics
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A clear understanding of what a true digital twin is and isn’t
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A GMP-aligned framework for building digital twins in regulated settings
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Insights into the future of CPV and real-time quality assurance
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Real examples of digital twins at work in biopharma
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Special event information
All participants will get a complimentary certificate of attendance courtesy of the webinar's partner - Aizon.
Time
4:00 PM – 5:30 PM, Central European Time (CET)
10:00 AM – 11:30 AM, Eastern Time (ET)
Speakers
-
Kevin BaughmanVP of Aizon AI Consulting Services
Kevin Baughman is the VP of Aizon AI Consulting Services where he is responsible for the delivery of value-based solutions that transform customers’ operations by merging technology with strategic vision. He has held multiple customer-facing roles, ultimately landing in consulting specializing in Artificial Intelligence and cloud-based solution integration. As a consultant, he has led projects in both the private and public sector for clients in many industries, including finance, insurance, transportation, healthcare, and pharmaceuticals.
Kevin attended N.C. State University for both undergraduate and graduate school where he received B.S. degrees in Applied Mathematics and Economics as well as an M.S. degree in Advanced Analytics from the Institute for Advanced Analytics.
Now at Aizon, Kevin continues to deliver value by working hand-in-hand with customers to co-create, develop, and implement strategic, AI-focused solutions.
-
Vitaliy KogutAI Consultant & Data Scientist, Aizon
Vitaliy Kogut is an AI Consultant & Data Scientist at Aizon, where he works on the implementation of digital twin technology and develops machine learning models to solve manufacturing challenges, optimize processes, and enhance analytics in the pharmaceutical industry. Currently pursuing a PhD in digital twins at Universitat Rovira i Virgili, Vitaliy blends advanced research with practical expertise in Industry 4.0 solutions. Holding a master’s degree in engineering, he brings a strong educational foundation in technical systems and data analytics, enabling him to excel in developing strategies for predictive maintenance, process optimization, and system integration.
Partner
Aizon
Website
http://www.aizon.aiAizon pioneers Intelligent GxP Manufacturing: eliminate paper, boost yield, cut deviations, and ensure quality with AI, in just a few weeks.
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