Pharmaceutical companies in the AI era: real case studies, regulatory challenges and new opportunities
Artificial intelligence is driving the new digital transformation in the pharmaceutical sector
The digital transformation of the pharmaceutical industry hinges on the intelligent use of data. Artificial Intelligence is becoming a key driver to increase efficiency, ensure quality and accelerate innovation in laboratories within a demanding and highly regulated environment.
From promises to real case studies: AI in today’s pharmaceutical industry
With this event, TECNALIA invites the pharmaceutical industry to discover how AI in the pharmaceutical sector is no longer just about futuristic promises.
- It’s about deciding which tasks we can speed up, what data we can use, which tools are secure and how to prove that the result is reliable to Quality Assurance, an audit or the relevant regulatory bodies. A conference to separate the real cases from hype.
- This event is aimed at R&D, QA, QC, IT, data and technical managers who are looking to move beyond traditional approaches and explore new ways of generating value through data.
TECNALIA’s differential value for the adoption of AI in GxP environments
TECNALIA offers the added value of a Research and Technological Development Centre: not only do we carry out projects, but we also conduct research, evaluate and validate, develop and transfer technology, supporting companies in their most complex challenges.
Our approach combines pharmaceutical expertise, advanced analytical capabilities and proficiency in AI and Big Data, applied specifically to GxP environments.
Practical use of AI and Big Data to boost productivity in the pharmaceutical sector
- Discover how Generative AI can become a practical tool to boost productivity in the pharmaceutical sector, whilst always operating within a secure and corporate ecosystem in line with quality, confidentiality and compliance requirements.
- Find out about practical applications of AI and Big Data in pharmaceutical laboratories, ranging from intelligent data management to tools used in LIMS, QC, stability testing, manufacturing and decision-making in regulated environments.
How to develop AI that is reliable and can be defended in audits and before regulatory bodies
Understand how to prepare your organisation for AI that can stand up to quality assurance, audits and regulatory bodies, by anticipating the approach of agencies like the FDA, EMA and AEMPS, and separating useful innovation from hype.
A unique opportunity
- See the detailed programme below.
- Book your place: it will be an event that is not to be missed for anyone wishing to find out how Artificial Intelligence is becoming a key driver to increase efficiency, ensure quality and accelerate innovation in laboratories.