AI Articles and Analysis in Pharma

Driving Manufacturing, Supply Chain, and Marketing Synergies
with AI2x

Driving Manufacturing, Supply Chain, and Marketing Synergies with AI – with Kartik Pant and Shreyas Becker of Sanofi

Over the past few years, global supply chains have faced rising complexity due to geopolitical shifts, trade barriers, and bottlenecks, which have increased the need for resiliency. In one of the recent podcasts with Emerj, Luke van der Waals, Demand-to-Deliver Value Stream Owner at SLB,  explained how these challenges are compounded by inflationary pressures, making it harder to manage margins and maintain operational efficiency. 

Driving Manufacturing, Supply Chain, and Marketing Synergies
with AI2x

Driving Manufacturing, Supply Chain, and Marketing Synergies with AI – with Kartik Pant and Shreyas Becker of Sanofi

Over the past few years, global supply chains have faced rising complexity due to geopolitical shifts, trade barriers, and bottlenecks, which have increased the need for resiliency. In one of the recent podcasts with Emerj, Luke van der Waals, Demand-to-Deliver Value Stream Owner at SLB,  explained how these challenges are compounded by inflationary pressures, making it harder to manage margins and maintain operational efficiency. 

Preparing the Life Sciences Workforces for Agentic Systems

Preparing the Life Sciences Workforces for Agentic Systems – with Chloë Domergue of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Solving Scaling Challenges in Hybrid Data Storage Strategies@2x

Scaling AI Success in Life Sciences and Financial Services Infrastructure with Object Storage – with Leaders from SAP, Blue Cross Blue Shield, AstraZeneca, Northwestern Mutual, and MinIO

This interview analysis is sponsored by MinIO and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Artificial Intelligence at Geico-1x-4-min

Artificial Intelligence at Gilead Sciences – Two Use Cases

Gilead Sciences, a biopharmaceutical company founded in 1987, has emerged as a leader in the development of innovative therapies for a range of diseases, including HIV, liver diseases, and oncology. With a commitment to advancing the field of medicine, Gilead has increasingly recognized the vital role that AI plays in its operations. Gilead Sciences achieved an annual revenue of approximately $28.3 billion in 2024, driven by its robust portfolio, and employs around 18,000 people globally, reflecting its substantial size and reach within the biotech industry​.

Procurement Data
for Business Intelligence in Life Sciences@2x

Procurement Data for Business Intelligence in Life Sciences – with Jennifer Sieber of Gilead, Len DeCandia of Johnson & Johnson, and Edmund Zagorin of Arkestro

From intelligent sourcing and predictive analytics to automated contract analysis and risk mitigation, AI is enabling procurement teams to focus on strategic activities while delivering significant cost savings and improved supplier relationships.

Artificial Intelligence at Geico-2x-2-min

Artificial Intelligence at Johnson & Johnson

In 2020, we wrote about the early but fertile stage of AI development at Johnson and Johnson. Since then, the COVID-19 pandemic and improvements to machine learning have forced important changes in how J&J is using artificial intelligence. 

Winning Buy-In for Life Sciences Manufacturing and Supply Chain Management-1x-min

Winning Buy-In for Life Sciences Manufacturing and Supply Chain Management – with Shreyas Becker of Sanofi

As life sciences organizations increasingly adopt AI to enhance productivity, streamline workflows, and improve quality, aligning AI initiatives with business objectives and evolving traditional return on investment (ROI) metrics have become essential strategies. These practices not only secure executive buy-in but also ensure sustained success in AI adoption.