Webinars starting with D

Join our webinar to learn about an innovative system to significantly ease the discovery of pharmaceutical insights! Dive into the automated low-code/no-code process to swiftly create a dynamic data foundation and feature store. Introducing the novel utilization of Large Language Model (LLM) for fast, natural-language-based queries, significantly slashing time and costs. This isn't just theory; it's a proven solution vetted by top pharma companies. Don't miss out—register now for an exclusive look into the future of streamlined, efficient pharma data utilization!

In this webinar you will hear about:

• Fast-track auto-creation of a dynamic data foundation
• Low-code/no-code simplicity for seamless integration
• A demo of our Lightning-fast queries with Large Language Model (LLM)
• Proven solution validated by leading pharma companies
• Exclusive insights into the future of efficient pharma data utilization.

Speaker: Shahar Cohen CTO at Verix

Shahar heads Verix’s AI lab, leading the innovation behind the Tovana™ platform. A Data science researcher with 20 years of experience in starting and leading complex data ventures. He co-founded two AI / Machine learning startups: Optimove and YellowRoad, and worked as a consultant and hands-on service provider with more than 50 organizations, in a variety of domains: NLP, Reinforcement Learning, Deep Learning, Classic Supervised & Unsupervised Learning and in many verticals.

Even as digital investments increase, the field force remains the primary means of customer engagement for pharma companies and is their biggest promotional investment. As a means of providing guidance to the field, traditional call planning occurs infrequently and in cycles, oftentimes failing to incorporate the latest data available to drive rep activity and customer interactions. Dynamic Targeting leverages digital investments by bringing data and insights to the field force in a more timely manner, enabling more real-time, data driven decisions. Using the latest customer and data insights, Dynamic Targeting provides clear, effective, guidance to empower field teams to optimize brand reach and drive exceptional customer engagement.

In this webinar, we will explore the following with industry leaders Stephanie Odutola and Owen Morris from AstraZeneca:

• Laying the groundwork: defining Traditional Call Planning, Next Best Action, and Dynamic Targeting
• Ensuring stakeholder buy-in
• Evolving the Commercial Operations function to support Dynamic Targeting
• Overcoming the barriers to Dynamic Targeting adoption
• Measuring the impact of Dynamic Targeting
• Making the leap from Dynamic Targeting to full Omnichannel Orchestration

In today’s cutthroat life sciences marketplace, commercial effectiveness in all its parts has never been so important. From field force effectiveness to optimization of promotional investment through to Next Best Action implementation, tailoring the customer experience through content and tactics is the focus. Cross-functional coordination across teams and operationalizing at scale are the goal. Come join Nabha Subramanya, VP of Data Science at Trinity Life Sciences and Anushank Anand, Director in Trinity’s Analytics practice, as they walk through the evolving omnichannel landscape and touch on the data science platforms and capabilities—as well as the “life sciences”-specific insights and expertise—that drive commercial success:

• Building an ML ecosystem
• Calibrating promotional strategies and campaigns in response to outcome and response metrics
• Operationalizing your ML systems