Webinars

Incentive compensation (IC) is no longer only an execution-focused workstream where accuracy is the primary goal—it’s becoming a strategic lever for driving field performance, enabling faster decision-making and adapting to a rapidly changing market. As life sciences organizations face growing complexity in IC design and delivery, many are turning to AI and advanced analytics to modernize how they operate.

In this session, we’ll explore how AI is being applied across the IC life cycle—from smarter plan design and predictive scenario modeling to real-time payout insights and self-service execution. We’ll also demonstrate how a commercial platform like ZAIDYN® brings these capabilities together to scale IC with speed, transparency and precision, delivering an enhanced user experience with simplicity and ease of use.

What you'll learn:

• How AI-powered IC becomes a catalyst for revenue growth, talent retention and market responsiveness
• Insights-driven approaches supported by data to enable confident, real-time choices across commercial teams
• Real-world life sciences successes with measurable improvements in speed, data quality and scalability

Speakers:

Michael Cass, Principal, Incentive Compensation, ZS
Michael Cass is a principal at ZS and leads ZS’s incentive compensation practice. He brings over two decades of experience helping clients address all aspects of incentive compensation, including plan design, goal setting, administration and reporting. His work spans a variety of therapeutic areas, including oncology, immunology and rare diseases.

Amey Deorukhkar, Principal, Incentive Compensation, ZS
Amey Deorukhkar is a principal at ZS with over a decade of consulting experience in incentive compensation and customer-facing model design. He specializes in designing and administering incentive plans for teams of varying sizes across industries, such as life sciences, financial services, manufacturing, transportation and hospitality.

Deepali Gupta, Associate Principal, Platform and Products, ZS
Deepali brings over 15 years of expertise in strategizing and implementing field performance programs, including ZAIDYN delivery, within the life sciences industry. She currently holds a leadership position in ZAIDYN Commercialization for major life sciences companies, where her primary focus is to assist organizations in meetin their evolving platform and technology requirements through the ZAIDYN platform.

Moderator: Jared Keckeisen, Event Marketing Lead, ZS

In biopharma, the promise of data-driven commercial strategy and personalized patient engagement hinges on the power of AI. Yet, this potential is often limited by a fundamental problem: messy diagnostic data. Just like the old adage, "garbage in, garbage out," the insights from your predictive models are only as good as the data they're trained on. In this webinar, we'll explore the complex challenges of working with real-world diagnostic data—from missing values and inconsistent coding to disparate test names—and how they directly impact your commercial outcomes.

Prognos has firsthand experience with these hurdles. Instead of simply dumping raw data into a large language model and hoping for the best, we’ve developed a robust data analytics framework to cleanse, integrate, and standardize test results from various sources. This approach transforms chaotic, messy data into high-quality, AI-ready data solutions that can accurately deliver actionable insights for your commercial teams.

Join Steve Vitale, VP of Life Sciences, and Michael Cheyne, VP of Clinical Insights, as they discuss how Prognos helps biopharma customers, particularly those focused on complex clinical populations, overcome these data challenges. They will share specific case studies that demonstrate how a commitment to data quality leads to better outcomes, from supporting a more comprehensive understanding of the patient journey to facilitating more accurate and timely targeting and segmentation analyses. Don't let bad data compromise your AI initiatives—learn how to build a foundation for commercial success.

Agentic AI promises to revolutionize the pharma landscape by reimagining business processes through a combination of human intelligence and agent agility. As we embrace this technology, we stand at the cusp of a new era in pharmaceutical excellence, where the human-agent partnership will drive unprecedented commercial success. Unlike traditional AI, agentic systems are proactive, goal-directed, and capable of orchestrating complex, multi-step tasks with minimal human intervention. From accelerating insights in Commercial and Medical Affairs to transforming patient engagement and optimizing clinical workflows, Agentic AI holds the potential to radically redefine pharma operations. In this webinar, join Sudip Chakraborty, Head of AI/GenAI, and Sameer Sardana, Head of GenAI Products from Axtria, a leading pharma consulting and products firm, as we explore how Agentic AI is reshaping the industry. We will share current trends, practical use cases, key capabilities needed, and an implementation roadmap. Discover how our purpose-built agents and Axtria InsightsMax™ platform can help you move beyond experimentation and fast-track your journey to scalable, measurable impact.

Speakers:
Sudip Chakraborty, Head of AI/Gen AI, Axtria
Sameer Sardana, Head of GenAI Products, Axtria

The commercial landscape has evolved. Specialty drugs now make up ~75% of the 7,000+ therapies in development, oral and subcutaneously-administered therapies make up a growing proportion of complex diseases, and distribution models have shifted to include more specialty pharmacy and non-retail.

This evolution has exposed significant gaps in legacy data models, including inconsistent distributor data, blocked specialty pharmacy data, and projected retail data that does not account for other delivery models.

Segmentation and targeting, one of the most critical inputs into go-to-market strategy, requires complete visibility into today’s complex markets to prioritize and maximize field resources.

Join us to learn how modern projected data can help you:

• Deliver a more holistic view of prescriptions and procedures across retail and non-retail channels
• Inform smarter segmentation, optimized territory planning, and stronger product launches
• Eliminate significant time and resources previously required to tie disparate data together

We’ll also share "before and after" scenarios in two different markets showing how the use of modern projected data vs. legacy data impacted HCP identification and prioritization, resulting in millions of dollars in incremental revenue opportunities.

Speaker:
Anthony Billinger, Senior Director, Compass Strategy, Veeva.

Moderator:
Brian Mahoney, VP, Global Commercial Analytics Leader, Analytics Business Consulting, Veeva

Join us for an insightful webinar on advancing oncology forecasting by incorporating patient pathways, real-world evidence, and treatment sequencing for a more comprehensive and transparent forecast story. We’ll explore the evolving oncology landscape, discuss the key drivers of demand, and showcase practical tools that enhance forecasting accuracy. Through real-world case studies, we’ll demonstrate how these approaches drive impactful business outcomes, empowering organizations to make more informed strategic decisions.

Speakers:
Anindya Roy, Principal, Viscadia

Moderator:
Jim Martin, Head of Client Development, Viscadia

In honor of Rare Disease Month, experts from Sanofi, Novartis and Definitive Healthcare will explore how the rare disease space has evolved and where it is heading in 2025.

This roundtable will provide key insights into how breaking down data silos, fostering collaboration, and focusing on rare diseases within the broader pharma ecosystem can accelerate the development of life-changing therapies.

Key discussion points will include:

• How Data Access Leads to Better Outcomes: Discussing how seamless access to integrated data—from clinical trials and real-world data- can enhance drug development, support better trial designs, and help pharma companies more efficiently address unmet medical needs in rare diseases.
• How to Improve Collaboration: Highlighting the critical need for collaboration between pharma companies, healthcare providers, academic institutions, and patient advocacy groups to drive more effective research and development and improve patient access to new therapies.
• The Future of Rare Disease in Pharma: Reflecting on how the increased focus on rare disease research, combined with better data access, will shape the future of drug development, personalized medicine, and patient care. Panelists will explore how the rare disease space has evolved and where it is heading in the coming years.

Speakers:

Alex Paragios, Regional Business Director (Sanofi)
Alex Paragios has been with Sanofi for 11+ years. In his role, he serves as the Regional Business Director – Northeast Pompe.

Brian Garino, Director, Advanced Analytics (Novartis)
Brian Garino is the Director, Advanced Analytics at Novartis. In his role, he leads predictive analytics practice designed to drive commercial acceleration via personal and digital touch optimization.

Evan Raggi, Principal
Evan Raggi brings 15+ years of data and analytics experience across cpg and healthcare companies. From start ups to fortune 100 companies, Evan has worked for some of the brightest and most innovative companies. At Definitive, Evan partners with our largest biopharma clients to help problem solve leveraging our entire portfolio of products and services.

Mapping the patient journey has become more complex, but also more critical to understand what is actually happening in the treatment or therapeutic landscape. This webinar will explore how leveraging PurpleLab’s integrated data sources, including claims and Social Determinants of Health (SDOH), can unlock critical insights for commercial, market access, and medical affairs teams.

To quickly identify actions and strategy shifts that help drive adoption and improve outcomes, we will use an oncology example of uncovering nuanced patient experiences, including treatment pathways, adherence trends, and transitions in care.

Speakers:
Stephan Dunning, Sr. Director, RWE Solutions, PurpleLab

Moderator:
Matt Weinreb, VP of Business Development, Life Sciences

How can pharmaceutical companies create standout customer experiences aligned with their strategic imperatives in an era of information overload? In this webinar, ZS experts reveal how AI and advanced analytics are reshaping omnichannel engagement through dynamic next best action frameworks. By leveraging predictive insights, dynamic content personalization, and real-time optimization under sales and marketing guardrails, organizations are driving measurable improvements in brand performance, HCP engagement and patient outcomes. Join us as we explore how leading companies are navigating this transformative landscape—and discuss the implications of generative AI in elevating digital pharma experiences.

Speakers:
Omer Hancer, Principal - ZS
Praveen Chaudhary, Associate Principal – ZS

Moderator:
Jared Keckeisen, Senior Event Marketing Associate - ZS

As the year draws to a close, pharma brands are deep in the media planning process for 2025. But despite seemingly endless amounts of information available, most “data driven” strategies still contain assumptions and uncertainties that can undermine advertising performance and lead to wasted spend, missed patients, and competitive disadvantages.

This webinar examines how integrating quantitative data on condition and market-specific, de-identified patients with their media preferences, interests, and demographics can generate insights that enhance patient engagement, inform media investments, and strengthen advertising effectiveness.

Speakers:
Karin Hayes, SVP, Analytics & Insights - OptimizeRx
Mike Czuba, Vice President, Head of Account Planning - AbelsonTaylor

Moderator:
Megan Solimine, SVP Sales - OptimizeRx

Join us for an enlightening discussion as leading experts explore how Generative AI is reshaping pharma commercial analytics. Discover how organizations are using GenAI to unlock cost savings, elevate productivity, and enhance agility in their operations. You’ll walk away with practical strategies to turn your data into actionable intelligence for sharper decision-making and optimized efficiency.

Key Takeaways:

• The GenAI Transformation in Pharma: See how GenAI is revolutionizing commercial analytics and why modernization is crucial
• Overcoming Real-World Challenges: Hear from industry leaders as they tackle the complexities and considerations when adopting GenAI
• Choosing the Right Platform: Learn the key factors for selecting a GenAI platform and why it's critical for companies of all sizes, from biotech startups to large enterprises
• Measurable Success: Get insights into how organizations are quantifying the impact of modernized analytics through data-driven approaches
• Future of Pharma Analytics: Gain an understanding of what’s next for GenAI and the evolving role it will play in the future of commercial analytics

This webinar isn’t just about theory—it’s a chance to gain real-world insights and actionable strategies to help you stay ahead in an ever-changing landscape.

Speakers:
Rohit Vashisht - CEO & Co-Founder, WhizAI
Danielle Holtschlag- Vice President, Commercial Operations, Enablement & Execution, Radius Health
Ron Richmeier - Senior Director, Market Analytics & Commercial Operations, Guardant Health
Srini Parthasarath- Global Lead, Commercial & Medical Affairs BIS, Argenx