Podcast

Ensuring Successful Implementation of AI

When
October 3, 2024
Time
58 mins

The 'Life Sciences DNA' Podcast, sponsored by Agilisium Labs, delves into groundbreaking innovations at the intersection of technology and life sciences. In this episode, host Dr. Amar Drawid is joined by Dr. Anastasia Christiansen, a renowned data science and AI leader, to explore how AI is transforming the pharmaceutical industry.

Episode Highlights:

  • Explore the integration of AI in pharma and the importance of organizational models that foster cross-functional collaboration.
  • Discover why co-creation among teams is crucial for accelerating AI solution development and unlocking new therapeutic advancements.
  • Learn about the challenges of integrating AI within large pharmaceutical organizations and the potential downsides of siloed AI teams.
  • Gain insights into determining the optimal structure for AI and data teams to maximize collaboration and innovation in drug development.

About the Host

Dr. Amar Drawid
Chief AI & Business Consulting officer
Dr. Amar Drawid, an industry veteran who has worked in data science leadership with top biopharmaceutical companies. He explores the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.

About the Guest/Speaker

Dr. Anastasia Christianson
Strategic Advisor - AI in Life Sciences
Anastasia Christianson, a visionary leader in data science and AI. With over three decades of experience in the pharmaceutical industry, Anastasia has driven innovation at major companies such as Pfizer, where she served as SVP and Global Head of AI Data and Analytics, and Johnson & Johnson, where she was Vice President of IT. Starting her career as a wet lab scientist, Anastasia transitioned into data science, leading transformative AI and IT initiatives across AstraZeneca, Bristol-Myers Squibb, and beyond. Now a senior consultant, she continues to shape the future of AI in pharma.

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