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.
In this podcast, we delve into the world of omnichannel strategies in Medical Affairs, where understanding your audience’s educational needs and communication preferences is pivotal for delivering relevant and engaging data dissemination.
MEDICAL AFFAIRS: The Roles, Value and Practice of Medical Affairs in the Biopharmaceutical and Medical Technology Industries (Taylor & Francis, 2024)
10 reasons digital strategies fail plus ways you and your teams can navigate between the icebergs of these failures on the way to success.
The authors present planning, process, compliance, and copyright considerations for both author- and sponsor-led publication enhancers.
In September 2023, MAPS held the inaugural Midwest Innovation Summit at the Hyatt Regency O’Hare, Chicago. For those not able to attend and/or for a concise recap of learnings from the event, please download the event debrief here.
It’s time to move omnichannel from discussion to reality using the steps: Observe, Plan, Engage and Nurture.
This article discusses how to foster innovation within and across the Medical Affairs landscape, empower teams to deliver the best outcomes for patients and revolutionize healthcare delivery.
In this podcast, MAPS speaks with experts from Pfizer and Putnam Associates about the most exciting current uses of AI and also where we may be headed in the future.
602 Park Point Drive, Suite 225, Golden, CO 80401 – +1 303.495.2073
© 2024 Medical Affairs Professional Society (MAPS). All Rights Reserved Worldwide.