Build AI-Ready Pharma R&D to Accelerate Drug Development

Biotech, Clinical Trials, Drug Discovery & Development, Life Science, Pharma,
  • Tuesday, June 30, 2026

Pharma R&D is at a crossroads: the pressure to accelerate innovation, ensure compliance and manage fragmented data has never been greater. This webinar explores how leading organizations are operationalizing AI across discovery and development, without compromising scientific rigor or compliance.

Attendees will learn how agentic AI, unified data platforms and digital twins are transforming the pace and quality of research. The featured speaker will examine real-world case studies from customers, showing how modular AI platforms and predictive analytics are driving faster, safer and more compliant drug development.

The webinar will explore how organizations are building AI fluency into workflows and creating a foundation for scalable innovation.

For R&D leaders, clinical trial teams, regulatory affairs professionals and digital transformation teams, this session will clarify how to move from fragmented manual processes to a cohesive agentic operating model.

Register to learn how AI-ready R&D can accelerate innovation and improve drug development in regulated pharma.

This webinar is part of 4-part series:

Part 1 (June 2, 2026) – Archive available
Learn how AI-enabled pharma manufacturing supports more resilient operations without compromising quality or compliance

Part 2 (June 15, 2026) – Archive available
AI-driven Rapid Response In Supply Chains With Lower Cost To Serve

Part 3 (June 22, 2026) – Archive available
Connect Commercial Models to Improve Decision-Making in the Pharma AI Era

Part 4 (June 30, 2026) – Archive available (current page)
Build AI-Ready Pharma R&D to Accelerate Drug Development

Speakers

Elena Bonfiglioli, Global Business Leader Healthcare, Pharma and Life Sciences International Clinical Applications GM, Microsoft

Elena Bonfiglioli, Global Business Leader Healthcare, Pharma and Life Sciences International Clinical Applications GM, Microsoft

Elena is Microsoft’s Global Business Leader for Healthcare and Life Sciences, responsible for global commercial strategy, go-to-market and AI-driven transformation across providers, payors and life sciences organizations. She leads a global team driving customer engagement, partnerships and pipeline growth, and oversees sales for Dragon Copilot Clinical Applications outside the US.

A recognized industry leader, Elena serves on multiple advisory boards, including the DIA Pharma Advisory Council (EMEA) and the Kearney Women’s Health Community, and holds board roles across startups and global health initiatives. She has been named a Top 50 AI Innovator twice.

Her work has advanced landmark AI partnerships with organizations like Novartis and led major initiatives in population health, cancer prevention and women’s health equity. With over 20 years in healthcare, Elena is a global thought leader and advocate for data-driven innovation, health equity and inclusive leadership.

Message Presenter
Adam Borenstein - 150 x 150

Adam Borenstein, Managing Director, Accenture

Adam Borenstein is a Managing Director at Accenture shaping the next era of intelligent laboratory science. He is the Global Lead of Accenture’s Laboratory Reinvention practice focused on transforming Research, Development, and QC laboratories by applying AI, automation, and modern scientific informatics to dramatically increase scientific productivity and innovation outcomes. With over 25 years of experience in laboratory transformation, Adam works with leading life sciences, consumer goods, chemicals, and government research organizations to modernize lab operations, enable AI‑ready data foundations, and scale next‑generation, digitally enabled research models. He is a recognized thought leader in the “Lab of the Future” and leads Accenture’s collaboration with ecosystem partners, including Microsoft, to advance AI‑driven discovery platforms and connected lab environments

Message Presenter
Lily Kim - 150 x 150

Lily Kim, GM, Microsoft Discovery & Quantum

Lily Kim is General Manager for Microsoft Discovery, Microsoft’s next-generation agentic AI platform for research and development, where she leads customer advisory, product-engineering collaboration, and life sciences strategy. She serves as a bridge between early strategic customers and engineering, translating real-world R&D needs into roadmap priorities and adoption programs. Her broader career spans Azure Government, the Vanguard Customer Engineering Program, the U.S. Department of Defense, and IBM, with experience building large-scale cloud programs, aligning executive stakeholders, and scaling complex technical initiatives across regulated industries.

Message Presenter
Ash Jogalekar - 150 x 150

Ash Jogalekar, Senior Program Manager, Microsoft Discovery and Quantum

Ash Jogalekar is a senior program manager in the life sciences group at Microsoft Discovery and Quantum. Before joining Microsoft, he worked for over 20 years in the pharmaceutical and biotech industry, designing drugs for cancer and immunology and building remote cloud labs for robotic drug discovery.
Ash is also a scientist in residence at the non-profit Oppenheimer Project, where he works on emerging technology risks. He has published more than 15 papers in peer-reviewed journals and is a co-inventor on 10 patents. He holds a PhD in organic chemistry from Emory University.

Message Presenter

Who Should Attend?

This webinar will appeal to:

  • R&D and Clinical leaders
  • Regulatory Affairs and Compliance Managers
  • Data and Digital Transformation Leads
  • Pharma Executives seeking to modernize discovery and development

What You Will Learn

Attendees will learn:

  • How AI and unified data platforms accelerate compliant R&D
  • Lessons from real-world case studies
  • Steps to build an AI-ready foundation for future innovation

Xtalks Partner

Microsoft

Microsoft empowers regulated industries to accelerate innovation, help support compliance, and build resilient operations. With trusted cloud platforms, advanced AI, and a global partner ecosystem, Microsoft helps pharma organizations unify data, streamline workflows, and deliver better outcomes for patients and providers.

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