Where Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.
Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.
The podcast is brought to you by Appsilon.
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments
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Where Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.
Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.
The podcast is brought to you by Appsilon.
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments
In this episode, we speak with Vincent Shen, Senior Principal Data Scientist at Roche, about the actual impact of generative AI in clinical data analysis. Vincent shares insights from his work implementing AI-powered tools, such as knowledge chatbots and coding assistants, that support clinical reporting at Roche. We discuss the evolving role of AI, the challenges of integrating it into clinical trial workflows, and the importance of rethinking the processes to ensure effective AI use.In this episode:
AI will augment rather than replace data scientists in clinical trial workflows.
Roche has successfully deployed a GenAI-powered knowledge bot, saving an estimated 25 hours per 100 questions.
Coding assistants help data science teams accelerate time-to-insight.
Providing detailed specifications is essential for AI to deliver accurate and meaningful results.
Training AI models requires extra effort to ensure they correctly interpret context and domain-specific requirements.
The next big step is to rethink how processes are designed, not just automate existing ones.
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert ► https://www.appsilon.com/contact-us
Where Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.
Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.
The podcast is brought to you by Appsilon.
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments
