The AI in Business Podcast - Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences - with Daniel Ferrante of Deloitte

Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences - with Daniel Ferrante of Deloitte

04/03/24 • 30 min

Today’s guest is Daniel Ferrante, AI Leader in R&D and Data Strategy at Deloitte. Together with Emerj CEO and Head of Research Daniel Faggella, they delve into the complex challenges in AI adoption that major pharmaceutical firms encounter with cultural shifts, technological complexities, and the difficulties in monetizing data and aligning teams efficiently. Additionally, the pair explores the future landscape of phenotypical drug discovery, drawing insights from the context of COVID-19. Their focus underscores the critical importance of collecting and analyzing data to yield actionable insights, especially in the healthcare sector and amidst global health crises. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Previous Episode

Transforming a Legacy Enterprise Culture to a Data-Based Enterprise Culture - with Bikalpa Neupane of Takeda Pharmaceuticals

Today’s guest is Bikalpa Neupane, Head of AI/GenAI and Natural Language Processing at Takeda. Bikalpa returns to the program to talk about the difference between a legacy enterprise culture and a data-based enterprise culture, showing how legacy leaders in sectors as diverse as healthcare, financial services, manufacturing, and beyond can make the transition in today’s AI-driven global economy along the way. Later, he and Emerj Senior Editor Matthew DeMello pull apart challenges for large enterprises as more open-source AI tools become available to individuals, eroding the traditional and structural advantages legacy firms have long held in the marketplace. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Next Episode

AI for Supply Chain Challenges in Life Sciences - with Shreyas Becker of Sanofi

Today’s guest is Shreyas Becker, Head of AI & Data Products, Manufacturing & Supply at Sanofi. Shreyas joins Emerj Senior Editor Matthew DeMello on today’s podcast to talk about alleviating pain points for supply chain leaders in life sciences spaces. From building systems that deliver “real world evidence” to the subject matter experts and managers who need it to the pros and cons of sharing sensorial data with big tech data storage platforms like Amazon Web Services – Shreyas helps the executive podcast audience understand how problems are both viewed and solved through the lens of data, from no matter where they arise. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!