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2022 Annual Conference

2022 Annual Conference • Louisville, Kentucky • May 15-18

SUNDAY, MAY 15, 2022

03:00 PM - 05:00 PM

TRACK A: Churchill Downs: Next Gen Customer Engagement — Measuring and Optimizing the Effect of Direct-to-Consumer Channels in Retail and Non-retail Settings with Machine Learning Techniques

Speakers: Ramesh Krishnan, Axtria; Yuanyuan Pan, Axtria


TRACK B: Keeneland: Patient Journey — Leveraging AI-powered Analytics for Pharmaceutical Brand Performance

Speakers: Alvin Wong, Tellius; Nick Pinero, Tellius

MONDAY, MAY 16, 2022

07:30 AM - 08:30 AM

Breakfast with Exhibitors

08:30 AM - 08:45 AM

Open & Welcome

08:45 AM - 09:45 AM

Keynote Presentation: The Only Easy Day Was Yesterday

Speaker: Master Chief (SEAL) Rick Kaiser, USN (Ret.)

09:45 AM - 10:15 AM

Break and Vendor Fair/Poster Session 1

10:15 AM - 11:00 AM

Progression from 1st to 2nd Generation Next Best Action (NBA) in the Aftermath of COVID

Speakers: David Wood, Axtria; Vandana Singh, Axtria

11:00 AM - 11:45 AM

Effective Orchestration of ML Models

Speaker: Daniel Pielak-Watkins, Novartis

11:45 AM - 12:45 PM

Lunch and Vendor Fair


Gold Sponsor Activity: Role of AI/ML in Commercial Insights and Customer Engagement Luncheon Roundtable

Moderator: Axtria

12:45 PM - 01:30 PM

Pitfalls When Developing an ML Model: How to Identify and Avoid Them

Speakers: Jean Patrick Tsang,Bayser; Varun Sharma, Horizon Therapeutics

01:30 PM - 02:15 PM

Seven Critical Considerations to Successfully Launch Your Oncology or Rare Disease Product

Speakers: Manish Sharma, TikaMobile; Hung Khuc, TikaMobile; Tom Boulay, TikaMobile

02:15 PM - 02:45 PM

Vendor Fair

02:45 PM - 03:30 PM

Unlocking the Power of Social Selling with Data and Analytics

Speakers: Arvind Dakhera, Indegene; Nellai Srinivasan, Indegene

03:30 PM - 04:15 PM

Digital Identity for Future State Targeting of Physicians

Speakers: Harpreet, ProcDNA; Roshan Alvares, ProcDNA; Ashish Agrawal, ProcDNA

04:30 PM - 05:00 PM

Poster Judging and Reception

05:00 PM - 05:30 PM

Annual Membership Meeting


Gold Sponsor Activity: Omnichannel Focus Group

Facilitator: Axtria

07:00 PM - 10:00 PM

Special Event: Louisville Slugger Museum

Reception and Dinner

TUESDAY, MAY 17, 2022

07:30 AM - 08:30 AM

Breakfast with Exhibitors

08:30 AM - 08:45 AM

Open & Day 1 Recap

08:45 AM - 09:45 AM

Keynote Presentation: The Copernican Evolution in Healthcare

Speaker: Ajit Menon, VP Customer Engagement & Digital Transformation, Janssen Pharmaceuticals

09:45 AM - 10:00 AM

Break and Vendor Fair

10:00 AM - 10:45 AM

TRACK A: Churchill Downs: Next Gen Customer Engagement — A Study on the Measurable Impact of COVID-19 on Patient Health, HCP Behavior, Access and What Can Pharma Do?

Speaker: Kaiwen Zhong, Veeva


TRACK B: Keeneland: Patient Journey — How to Forecast Persistency and Duration of Therapy (DoT) of Patients with Medications and Applications of These Metrics

Speaker: Jukti Kalita, Pfizer

10:45 AM - 11:30 AM

TRACK A: Churchill Downs: Next Gen Customer Engagement — How to Build Organizational Machine Learning and AI Acumen in the Post COVID Era?

Speakers: Ewa Kleczyk, Symphony Health; Karin Hayes, Symphony Health, Michele Bennett, Symphony Health


TRACK B: Keeneland: Patient Journey — An innovative AI Approach to Identify Patients with Ultra-rare Disease Combining Disparate Data Assets

Speakers: John Qu, Analytical Wizards; Rohit Marwah, Analytical Wizards

11:30 AM - 12:45 PM

Lunch and Vendor Fair

12:45 PM - 01:30 PM

TRACK A: Churchill Downs: Next Gen Customer Engagement — REGENERON Next Best Action (NBA) – An Omni-Channel Implementation

Speakers: Amith Valappil, Regeneron; Ankit Kohli, Regeneron; Ashutosh K, Regeneron; Nagarjun Sathiamoorthi, Regeneron


TRACK B: Keeneland: Patient Journey — Analytics Predicting Rare Disease Diagnosis Using APLD to Improve Time to Diagnosis and Identify More Patients

Speaker: Griff Vinton, Acadia Pharma

01:30 PM - 02:15 PM

TRACK A: Churchill Downs: Next Gen Customer Engagement — Deciphering Standing Orders - Attributing Prescriptions to Influencers via Machine Learning

Speakers: Robert Kelly, IQVIA; Ruoxin Li, IQVIA


TRACK B: Keeneland: Patient Journey — Re-defining Real-world Data: Unlocking the True Patient Journey Using Next Generation Data Tokenization

Speakers: Victor Tavernini, Lexis Nexis; Brian Mullin, Lexis Nexis

02:15 PM - 03:00 PM

TRACK A: Churchill Downs: Next Gen Customer Engagement — Advantages of Using Patient Data and Advanced Analytics to Drive Commercial Success

Speakers: Utpal Parekh, Mu-Sigma; Dhiraj Rajaram, Mu-Sigma


TRACK B: Keeneland: Patient Journey — Patient Journey and Segmentation in Niche Diseases

Speaker: Simon Fitall, Tudor Health

03:15 PM - 04:00 PM

An AI Approach to Improve Customer Engagement by Selecting the Most Appropriate Marketing Channels

Speakers: Sharar Cohen, Verix

03:15 PM - 04:00 PM

Panel with Roundtable Discussion (directly following): Digital Footprints and Analytics

Speakers: Mike Eaddy, Vice President, Real World Evidence; Rudy Cohen, Vice President WorldWide Head of Omni Channel & Customer Engagement, Novartis; Ashish Patel, Co-founder & Chief Growth Officer, CareSet Systems; Tatiana Sorokina, Head of Connected Health Analytics and Platforms Novartis; Mayank Misra, Biotechnology Commercialization Leader, Takeda

WEDNESDAY, MAY 18, 2022

07:30 AM - 08:30 AM

Breakfast

08:30 AM - 09:15 AM

Accelerating Decision-Making with AI-Powered Analytics in Life Sciences to Drive Commercial Success

Speakers: Rohit Vashisht, WhizAI; Rahul Karkhanis, WhizAI; Darmesh Thakkar, WhizAI

09:15 AM - 10:00 AM

What is the Average Length of Medication Therapy? A Parametric Model-based Approach with Claims Data

Speakers: Kalok Lee, UCB; Srihari Jaganathan, UCB

10:00 AM - 10:15 AM

Break

10:15 AM - 11:00 AM

New Approaches in Pharma Using Cell Phone Mobility Data

Speaker: Brian Gibbs, Axtria

11:00 AM - 11:45 AM

Delivering Pharma Brand Relevancy via Model-Based Media Attribution

Speakers: Ira Haimowitz, Deloitte; Arun Kalyanasundaram, Deloitte; Shynish Maru, Deloitte

11:45 AM - 12:00 PM

Conference Close and Call to Action