Axtria Leads Discussion on Pharma’s Advanced Uses of Data Analytics & Artificial Intelligence With 6 Sessions @PMSA 2021 Annual Conference



Axtria Leads Discussion on Pharma’s Advanced Uses of Data Analytics & Artificial Intelligence With 6 Sessions @PMSA 2021 Annual Conference

Conference Participation Includes Sponsorship, Presentations, Co-Presentation With ViiV Healthcare & Panel with Novartis, Janssen, and CSL Behring

Berkeley Heights, New Jersey - June 15, 2021


Berkley Heights, NJ, June 15, 2021 – With the elevated importance of data analytics and AI-driven intelligent technology systems for a global life sciences industry facing new risks to its commercial model accelerated by COVID-19 (, Axtria has announced it will be leading six sessions covering a range of innovative uses of data analysis and insights for patient and provider engagement at the Pharmaceutical Management Science Association (PMSA) 2021 Annual Conference on June 17-18.

The Axtria-led sessions and group panel discussion, in which Axtria shares perspectives with such companies as Novartis, Janssen, CSL Behring, and ViiV Healthcare will include how to leverage advanced analytics to adjust HCP engagement activity approaches and broader marketing mix models post COVID-19; utilizing machine learning to project HCP brand adoption; innovations in promotions program analytics; scaling data analytics in pharma commercial operations, and a unique case study on optimizing co-pay data analytics in the HIV space.

Here is the schedule of Axtria’s poster, podium, and panel presentations:

Thursday, June 17
2:00 PM EDT – 2:45 PM EDT
Podium Presentation: Leveraging Advanced Analytics for HIV Co-Pay Card Program Optimization
Yafen Huang, Manager, Axtria
Sean Gracey, Director, ViiV Healthcare

4:00 PM EDT – 4:12 PM EDT
Poster Session: S.M.A.R.T. Activity Planning for HCPs in the New Normal
Ashvin Bhogendra, Senior Director, Axtria
Inderpreet Kambo, Client Partner, Axtria

4:00 PM EDT – 4:12 PM EDT
Poster Session: Approaches to Correct for COVID-19 in Marketing-Mix Modeling
Stefano Alberti, Senior Director, Axtria
Amit Verma, Director, Axtria


Friday, June 18
11:15 AM EDT – 11:45 AM EDT
Podium Presentation: Applications of Interpretable Machine Learning in Commercial Pharma: Predicting Brand Adoption Through HCP-Profiling
Rajnish Kumar, Decision Science Principal, Axtria
Chandresh Awadhwal, Decision Science Associate Director, Axtria

2:00 PM EDT – 2:45 PM EDT
Podium Presentation: Evolution and Innovations in Promotion Mix Analytics
Saswati Dasgupta, Manager, Axtria
Ramesh Krishnan, Principal, Axtria

4:00 PM EDT – 4:45 PM EDT
Panel Discussion: Analytics at Scale
Steve Sbrar, Senior Director, Execution Effectiveness & Transformation at Novartis
Jeff Headd, Senior Director, Commercial Data Science at the Janssen
Paul Jens, Executive Director, Commercial Operations at CSL Behring
Kedar Naphade, Senior Principal, Axtria


Contact Information

Tony Riggio

About Axtria

Axtria is a global provider of cloud software and data analytics to the life sciences industry. Axtria helps life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. Axtria has a strong focus on sales and marketing operations in the life sciences industry. With customers in over 75 countries, Axtria is one of the biggest global commercial solutions providers in the life sciences industry.

Axtria helps customers improve operational effectiveness with solutions that leverage Big Data, cloud software, predictive analytics, and machine learning. Axtria DataMAxTM, Axtria InsightsMAxTM, Axtria SalesIQTM, and Axtria CustomerIQTM are cloud based software platforms that enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. For more information, go to


Axtria, Axtria SalesIQTM, Axtria CustomerIQTM, Axtria InsightsMAxTM and Axtria DataMAxTM are trademarks or registered trademarks of Axtria. Other names may be trademarks of their respective owners.