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Riding the Waves with Pharma Data
PMSA 2023: 47th Annual Conference
Register nowOverview
The Pharmaceutical Management Science Association (PMSA) is organizing its annual PMSA Conference 2023, scheduled to take place from May 21-24 in San Diego, California. This will mark the 47th installment of the conference, dedicated to facilitating the exchange of information among professionals in the field of pharmaceutical analytics. PMSA's primary objective is to effectively address society's pharmaceutical needs through the application of management science.
Attending the PMSA Conference 2023 offers numerous professional advantages. Participants will have the opportunity to gain inspiration from esteemed thought leaders, establish valuable connections within their analytical community, explore new vendor offerings, expand their professional network, find rejuvenation within their work environment, and stay informed about the latest advancements in the industry, including their associated advantages and disadvantages.
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Engage in direct discussions with our industry experts to openly discuss your challenges and discover how Agilisium can provide the necessary support. Take advantage of the opportunity to meet face-to-face and receive personalized guidance tailored to your specific needs.
Industry Recognition
Agilisium Recognized as a Leader in Everest Group Life Sciences Digital Services for Mid-Market Enterprises PEAK Matrix® Report.
The Everest Group evaluated Agilisium’s capabilities across the Life Sciences value chain along with client case studies and references.
Agilisium Recognized as a Product Challenger in ISG Provider Lens™ Life Sciences and Healthcare Analytics Services — Specialist Providers 2024 study.
The ISG Group evaluated Agilisium’s expertise in enabling enterprises to improve decision-making utilizing AI and analytics.
Agilisium Recognized as a Product Challenger in ISG Provider Lens™ AWS Ecosystem Partners — Data Analytics, AI and ML Providers 2023 study.
The ISG Group evaluated Agilisium’s ability to utilize analytics and ML to convert data into insights, driving innovation and efficiency in client operations.
