The tools and the data to keep growing.


As the healthcare landscape embraces Generative Artificial Intelligence (GenAI), it becomes increasingly important that we address critical aspects beyond technological advancements. In this webinar, we delve into the intersection of GenAI, governance, patient privacy, and the impact of cutting-edge GenAI techniques. Our goal is to unlock the full potential of GenAI while safeguarding patient well-being and data integrity.
While there has been hype around AI in healthcare before, there has been a definite shift over the past 2 years with the broad use of Large Language Models (LLMs). We will set the latest developments in LLMs in the context of broader healthcare AI, and discuss how they are similar and different to previous innovations in this space.
Key takeaways:
Dr. Calum Yacoubian
Director of NLP Healthcare Strategy, IQVIA
Calum is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for 8 years and is passionate about the potential for data to drive improved patient outcomes.
Luk Arbuckle
Chief Methodologist, Privacy Analytics
Luk provides strategic leadership to Privacy Analytics’ clients and organization on how to responsibly share and use data. He draws from an extensive background in statistics, data science and anonymization, and from having worked on the regulatory side as Director of Technology Analysis at the Office of the Privacy Commissioner of Canada.
Jay Nanavati
Director of Advanced NLP, IQVIA NLP methodologies
Jay specializes in deep learning methods for machine learning applications in the life sciences and healthcare domain, and has served in leading roles at AstraZeneca, and Microsoft Research where he has delivered innovative AI solutions that have contributed to significant investment decisions, and improved patient outcomes.
The tools and the data to keep growing.
Drive better care and greater efficiency through deep, actionable insights.