Tom Owen
About Tom Owen
Solutions Lead at Opvia
Tom Owen holds the position of Solutions Lead at Opvia. In this role, he is responsible for overseeing and implementing advanced technology solutions tailored for the pharmaceutical industry. His work focuses on optimizing manufacturing processes and improving the overall efficiency and compliance of operations within the sector. Tom's leadership at Opvia positions him at the forefront of leveraging digital tools to meet stringent regulatory requirements.
Expert on Electronic Batch Records
Tom Owen has written extensively about the implementation and benefits of electronic batch records (EBRs) across various industries. His expertise particularly shines in the pharmaceutical sector, where he details how EBRs can streamline processes, enhance traceability, and ensure compliance with regulatory standards. Tom’s insights provide vital knowledge for companies looking to transition from paper-based to electronic systems.
Focus on Pharmaceutical Technology
Tom Owen has a specialized focus on pharmaceuticals, with in-depth knowledge of technology in bioprocessing. His work addresses critical technological advancements and their applications within the pharmaceutical industry. This includes detailed discussions about how bioprocessing can be improved and made more efficient through the use of various digital tools and systems.
Impact of Generative AI on Biotechnology
Tom Owen has explored the significant impact of generative AI on biotechnology. His analysis includes how this advanced form of artificial intelligence can innovate and transform data generation, analysis, and application in biotechnology. Tom's examination provides valuable insights into the future directions and potential of AI within this highly specialized field.
Quality Management Systems in Pharmaceuticals
Tom Owen addresses the challenges and solutions associated with quality management systems (QMS) in the pharmaceutical sector. He discusses the importance of maintaining high-quality standards and compliance through the use of advanced QMS solutions. His work also includes recommendations on how to tackle common issues such as data integrity and regulatory compliance in these systems.