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Beyond Generative AI: Redefining Research and Development with Agentic AI

Watch now to discover how agentic AI could transform medtech and biopharma R&D.

On-demand
1 hour watch

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On-demand webinar

How to harness agentic AI to drive innovation and business value in medtech and biopharma

The potential of artificial intelligence to revolutionise the medtech, biopharma and life sciences sectors has been a topic of much debate. Yet, the true impact of AI investments, especially in generative AI, has often fallen short of expectations.


This webinar, with guest speakers from AstraZeneca and Novartis, explores how the next wave of AI – agentic AI – has the potential to transform the research and development (R&D) value chain, creating tangible business value. Our panel of experts explores real-world applications and strategic approaches that solve pressing industry challenges, focusing on boosting productivity and profitability.


Discover how forward-thinking companies leverage cutting-edge technologies to stay ahead of competitors and transform the industry landscape.

 

Key insights to accelerate your AI strategy in life sciences

 

  • Overcome the common challenges and limitations of current AI investments

 

  • Unlock tangible business value through the strategic application of AI in the R&D and development space

 

  • Explore practical use cases that showcase the advantages of agentic AI in driving efficiency and profitability

 

  • Understand how industry leaders are preparing for AI-driven transformation across their value chains

Watch the webinar

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Speakers

rich-pugh-endava

With over 25 years in the Data & AI industry, Rich leads our Data & AI Strategy team which helps customers to understand the opportunity that AI presents, informing investment decisions. Initially trained as a data scientist, Rich founded & built one of the most recognized data science consultancies in the UK.  In the last 5 years, Rich has focused on using his experience to advise customers on the role that AI will likely play in their future success – writing data & AI strategies & advising leadership teams at some of the most recognized organisations in the world. Rich is a regular keynote speaker, and has been recognised as one of the DataIQ “100 most influential people in data” 4 times.

dr-xiong-liu-novartisDr. Xiong (Sean) Liu is a leader in data science and AI at Novartis. He was a principal data scientist and NLP lead at Lilly. He has 10 years of experience in pharma R&D (diabetes, neuroscience, immunology, and oncology) and 20 years of experience in data mining and machine learning. Dr. Liu is an innovator in AI for health. He has led data and AI programs to accelerate drug development, from target discovery to clinical trials and post-marketing research. His work has broad applications across the pharma value chain and impacted several marketed drugs. Prior to Pharma, he has won multiple Small Business Innovation Research (SBIR) awards from US government agencies for his research in data mining. He specializes in technology innovation, partnerships and strategies.

gupta-anurag-astrazenecaAnurag is a Senior Director of Oncology Data Science & AI Products at AstraZeneca, where he works across a portfolio of US Oncology products to translate brand objectives into data science & AI solutions. Prior to AstraZeneca, Anurag was at Takeda where he was Head of US Oncology Patient Insights and Real World Data Analytics. He has led several DS&AI initiatives for Pharma Commercial & Medical at Takeda, Genentech & Abbvie. Key accomplishments across these experiences include the delivery of patient journey mapping, predictive models for patient outcomes, KOL identification & mapping, practice informing treatment patterns, AI-driven next best orchestration, and clinical trial recruitment acceleration (pipeline and phase 4 studies) through patient level data-based insights. Anurag holds a Doctor of Medicine (MD) with experience in Oncology, in addition to a Masters in Medical Science & Technology and an MBA.

What could agentic AI mean for you?

Significant cost savings

Immediate savings from our approach are expected to be more than $10 million a year, while matching or reducing the risk of a human-centric approach.

Adherence to strict regulations

With full data transparency, you can be confident that your code remains compliant with necessary regulations.

Accelerated time to market

Speed up processes and streamline your clinical trials, bringing important treatments to market faster.