Articles and Reports

Drug development carries one of the greatest financial risk profiles in the life-science industry. Approximately 90% of drug candidates fail, according to The American Society for Biochemistry and Molecular Biology — a significant share stemming from regulatory hurdles and a resulting lack of clinical efficacy.  

This interview analysis is sponsored by Arkestro 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.

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​.

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.

Unlike industries that prioritize rapid technological implementation, financial services must navigate complex challenges when adopting AI. Ensuring AI systems perform reliably is not solely a technological hurdle—it requires addressing foundational issues in data management and implementing oversight to mitigate risks. These elements are critical to maintaining trust and alignment with business objectives in an increasingly data-driven environment.

Autonomous vehicles encounter high expectations regarding safety and operational consistency across diverse driving environments. A significant challenge lies in ensuring that autonomous systems can adapt to variable road and weather conditions, something that can profoundly impact fleet efficiency and safety. 

This interview analysis is sponsored by NLP Logix 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.

This interview analysis is sponsored by NLP Logix 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.