WhizAI

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

Join our insightful webinar to explore the dynamic intersection of artificial intelligence and life sciences. In this session, we will delve into the groundbreaking advancements in generative AI and large language models (LLMs) and their transformative impact on advanced analytics in life sciences. Our experts will guide you through the latest trends, challenges, and opportunities that AI-driven analytics offer in this rapidly evolving field.

Key Learnings:

• Understanding AI in Life Sciences: Gain a comprehensive overview of how AI, particularly LLMs, are revolutionizing analytics.
• Practical Applications and Case Studies: Discover real-world examples where generative AI and LLMs have significantly advanced actionable insights for commercial organizations.
• Buy vs Build: Explore the strategic decision-making process on Buy vs Build when navigating the choices for AI and large language models in life sciences.

Don’t miss this opportunity to stay ahead in your field. Register now to secure your spot in this enlightening journey into the future of life sciences powered by AI. Join us to be a part of this innovative conversation and transform the way you understand and utilize generative AI and LLMs in life sciences.

Speakers:

• Amitabh Patil, Co-Founder and CTO, WhizAI
• Saurabh Kelkar, Director, Account Management, WhizAI

In today’s world of rapidly evolving analytics, legacy reporting and BI platforms hinder a company from using analytics to its full potential due to the associated technology barriers, limited capabilities and long development cycles. The promise of competitive differentiation is driving commercial organizations to invest in AI/ML powered analytics. Secondly, AI-powered insights coupled with enhanced user experience and productivity allow businesses to engage customers more effectively. As a result, there is an increase in AI adoption for meaningful business insights that are easier to access, faster and cost-effective compared to the legacy solutions.

Join us in this interactive panel discussion to hear from industry stalwarts how AI/ML/NLQ powered analytics enable accelerated insights and improve customer engagement for business success.

Key discussion points:

• Business impact of democratized access to data insights and customer engagement
• Role of AI/ML in the evolution of analytics: data integration at scale, expedited insights cycle and improved customer engagement
• Key factors to consider for successfully utilizing AI/ML: richer data sources, 360 degree view and domain focus
• Top themes for life sciences enterprises and commercial organizations for deploying AI/ML

Moderator:

• Richard Clements, VP Marketing, WhizAI

Panelists:

• Dharmesh Thakkar, Sr. Director - Commercial Operations, Janssen Pharmaceuticals
• Stuart McGuigan, Senior Advisor, McKinsey & Co (former CIO Johnson and Johnson)
• Manesh Naidu, Consultant

Legacy self-service analytics require extensive data model training and deep technical knowledge to be used effectively. The alternative is developer-driven dashboards that have too broad a scope and are not unique to each user request, territory, or country. Every new data insight requires the creation of a unique dashboard, custom-built to address the specific needs of each request. These dashboards have long development cycles and can only answer the specific analytics questions for which they are built. With existing solutions it is difficult for business teams — especially non-technical users in sales and management positions — to use reporting and analytics to its full capacity.

These problems hurt an enterprise pharma’s competitive advantage in the industry.

Join us in this interactive presentation session to hear from industry stalwarts how life sciences-trained, AI-powered analytics enables accelerated decision-making to drive commercial success.

Key Discussion Points:

• The historical role of commercial insights and the exponential evolution of data and insights and what it means for commercial operations
• Key capabilities to look for when reimagining commercial insights and the role of AI, ML, and NLQ
• The business impact of democratizing access to insights to help business users make smarter, faster decisions at significantly lower cost

A new era is dawning in analytics, but organizations must be thoughtful in what augmented analytics technologies they incorporate to achieve the holy grail – a one-stop-shop where users can connect to all data, easily share all the insights across the business and do this for real-time and batch use cases. In this live webinar, hear from two leading data and analytics technology experts as they discuss:

• What do the next generation business insights solutions look like and how augmented analytics technologies fit into this vision
• How this solution can be commercial ready and coexist in your current ecosystem
• Where people and process come into the picture and considerations from an organization's perspective
• The challenge of bringing this all together so business users and analysts will use its full potential