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How AI Can Help Us with Our Day-to-day Work! Experiences with Copilot
Manage episode 440251820 series 2400265
Key Points:
- AI in Daily Work
- GitHub Copilot
- Code Suggestions
- Learning Tool
- R Studio Integration
- Productivity Boost
- Data Privacy
- Future of AI
As AI continues to revolutionize the way we work, tools like GitHub Copilot offer incredible opportunities to enhance productivity, simplify complex tasks, and accelerate learning. In this episode, Paolo and I dive into the practical applications of Copilot in our day-to-day work, sharing insights that can benefit statisticians and data scientists alike. Don’t miss out on this valuable discussion!
Tune in to the episode now, and if you find it helpful, be sure to share it with your friends and colleagues who could also benefit from AI tools like Copilot. Let's spread the knowledge and make work easier for everyone!
P.S. Don’t miss out on our upcoming Effective Statistician Online Conference: Fall 2024 – Transforming Healthcare!
Join us this November for an exciting opportunity to unlock the future of medical data with a special focus on RCT vs RWE, AI, and EU HTA. Whether you're looking for free access to keynotes and panel discussions or want to dive deeper with premium workshops on topics like Machine Learning, Data Visualization, and Personal Productivity—there’s something for everyone. Secure your spot now and connect with over 800 professionals from the healthcare industry! Mark your calendars: Nov 7-8 & Nov 11-12, 2024.
Get more details here and register now!
444 episodes
Manage episode 440251820 series 2400265
Key Points:
- AI in Daily Work
- GitHub Copilot
- Code Suggestions
- Learning Tool
- R Studio Integration
- Productivity Boost
- Data Privacy
- Future of AI
As AI continues to revolutionize the way we work, tools like GitHub Copilot offer incredible opportunities to enhance productivity, simplify complex tasks, and accelerate learning. In this episode, Paolo and I dive into the practical applications of Copilot in our day-to-day work, sharing insights that can benefit statisticians and data scientists alike. Don’t miss out on this valuable discussion!
Tune in to the episode now, and if you find it helpful, be sure to share it with your friends and colleagues who could also benefit from AI tools like Copilot. Let's spread the knowledge and make work easier for everyone!
P.S. Don’t miss out on our upcoming Effective Statistician Online Conference: Fall 2024 – Transforming Healthcare!
Join us this November for an exciting opportunity to unlock the future of medical data with a special focus on RCT vs RWE, AI, and EU HTA. Whether you're looking for free access to keynotes and panel discussions or want to dive deeper with premium workshops on topics like Machine Learning, Data Visualization, and Personal Productivity—there’s something for everyone. Secure your spot now and connect with over 800 professionals from the healthcare industry! Mark your calendars: Nov 7-8 & Nov 11-12, 2024.
Get more details here and register now!
444 episodes
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1 Why and how you can promote more students become statisticians 29:32


1 Clarifying confusions around interim, primary, final, and other analyses in clinical trial 31:11


1 Reimagining Clinical Trials with Synthetic Data and Digital Twins 22:11


1 Working in an english work environment as a non-native speaker 12:51


1 R-shiny - how to set it up effectively and avoid common mistakes 26:34


1 3 personal stories of how soft skills have helped me as a statistician 18:39


1 R-packages - best practices and useful tools 20:55


1 Delegating programming tasks - how SOPs help and hinder 17:16


1 Statistics and Market access - from foes to friends 44:23


1 Beyond logic - how to convince others of your ideas 12:52


1 P-value and confidence intervals - the good, the bad, and the ugly 32:31


1 Building the Influence as a Statistician in a Clinical Trial Team 14:10


1 Effective self-management and taking care of your mental health 31:00


1 Taming AI for Biostatistics: Darko Medin on Bio AI Works & Reliable AI Models 28:38
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