Events & Webinars
ODAIA Industry Events
Discover, Connect, Advance.
See where ODAIA is leading, presenting, or participating with the life sciences community, both virtually and in-person.

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October 27, 2026
Philadelphia, PA
Oct
27
-
28
Philadelphia, PA
Reuters: Pharma Customer Engagement
AI-powered decisions are reshaping how pharma engages HCPs. Meet ODAIA in Philadelphia to see how commercial teams know who to reach, when, and with what message.

November 18, 2026
Princeton, NJ
Nov
18
-
Princeton, NJ
PanAgora Pharma AI & Tech Summit
Discover How Pharma is Using AI & Emerging Technologies to Measurably Improve Customer Experiences for Patients and HCPs. Gain insights from leading pharma customer experience and marketing leaders.

June 24, 2025
Boston, MA
Jun
24
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26
Boston, MA
Future Pharma Boston
Future Pharma is the only life sciences event that addresses both marketing and sales strategies to achieve commercial success.

June 4, 2025
Toronto, ON
Jun
4
-
Toronto, ON
2nd Annual Sip, Savour Innovate
Join us for an evening catered for Canadian pharmaceutical commercial and marketing leaders. Connect with peers, hear from industry leaders, and discover how leading pharma teams are moving beyond digital adoption to unlock the real potential of AI and machine learning.

May 12, 2026
Long Branch, NJ
May
12
-
13
Long Branch, NJ
ReImagine Pharma Marketing
Where bold ideas meet real-world impact. ReImagine is the go-to event for pharma and biotech marketers ready to rethink strategy, embrace innovation, and drive measurable results.

May 19, 2026
Boston, MA
May
19
-
20
Boston, MA
Veeva Commercial Summit
As a Gold Sponsor and Veeva AI Partner, ODAIA is proud to showcase how AI is being used—live in the field, embedded in Veeva CRM, and delivering measurable value today. Where commercial and medical leaders meet.

June 4, 2025
Toronto, ON
Jun
4
-
Toronto, ON
2nd Annual Sip, Savour Innovate
Join us for an evening catered for Canadian pharmaceutical commercial and marketing leaders. Connect with peers, hear from industry leaders, and discover how leading pharma teams are moving beyond digital adoption to unlock the real potential of AI and machine learning.




