How Machine Learning Can be used to Understand Audiences
In this podcast, we explore machine learning as a way to get information about an audience.
In this podcast, we explore machine learning as a way to get information about an audience.
In this podcast, we dive into a really important area that can significantly influence your GenAI results – Prompt Engineering and other areas.
This webinar will give attendees a better understanding of use-cases of Generative AI in Medical Affairs and will show results to help inform thinking and build a future roadmap.
10 reasons digital strategies fail plus ways you and your teams can navigate between the icebergs of these failures on the way to success.
In this on-demand webinar, experts discuss how to understand the difference between the theoretical potential of generative AI and real applications Medical Affairs can leverage now.
The combined impact of treatment complexity and data availability highlights the value of Medical Affairs departments that have the capability to make clinical sense of new disruptive drugs, devices, real-time monitoring and diagnostics. Here, the MAPS Executive Consortium describes how.
This paper provides a vision describing how Gen AI technologies will reshape the possibilities and practice of Medical Affairs related to the four functional pillars of Strategy & Leadership, Evidence & Insights Generation, Evidence & Insights Communication, and Engagement & Partnerships.
Thank you MAPS Partner Circle members for sharing use cases that bring to life MAPS’ Vision for Generative Artificial Intelligence in Medical Affairs.
In this podcast, we interview Matt Lewis, Chief AI Officer at Inizio Medical, a well-regarded expert in data analytics and augmented intelligence.
The session focuses on results from first hand experiences in Chat GPT and other Large Language Models (LLMs).
