The emergence of Generative AI and Large Language Models (LLMs) is transforming how competitive intelligence is gathered, analyzed, and applied across industries. In pharmaceuticals—where regulation, data sensitivity, and scientific complexity are paramount—these technologies offer unprecedented opportunities and novel risks. This panel will explore how CI professionals can harness AI to gain actionable insights, maintain compliance, and stay ahead of market trends. Panelists will also discuss the strategic and operational implications of integrating these tools into CI workflows.

• How is GenAI currently being used in competitive intelligence within the pharmaceutical industry? What are currently observed benefits, and what are the limits of these solutions?
• What are the regulatory and compliance challenges when deploying GenAI in pharmaceutical CI processes?
• How can CI teams ensure data quality, bias mitigation, and transparency when using GenAI-generated insights?
• How to validate the results and differentiate reliable insights from AI hallucinations?
• What organizational changes are needed to effectively integrate GenAI tools into CI functions?
• How to organize and how to prepare the data for (any model of) AI?
• Where and with which data should different AI/ML-based tools be used ideally – internally, externally or in a hybrid way? 

Timely and accurate market insights are crucial for strategic decisions. At HELM Pharma, we are initiating a project to transform over 87 million rows of IQ data into actionable intelligence using Power BI. This self-service analytics approach empowers teams across departments to instantly access key metrics—such as market share, product performance, and competitive positioning—through automated, customizable reports. Designed and implemented by a small team, the project highlights how even limited resources can unlock the power of large-scale data visualization. With automated tagging, optimized data quality, and integration-ready architecture, we are laying the foundation for advanced applications such as CRM integration, cross-database analytics, and portfolio-driven forecasting. In this session you will learn:

• How to turn 100+ million data points into actionable insights with minimal manual effort
• How to set up scalable, automated reporting using Power BI for cross-functional teams
• How to ensure data reliability and consistency through tagging and optimization
• How to build a foundation for a future-ready system that will be able to integrate further data