Neurocrine Learning & Development Week 2025: AI & the Future of Biopharma


Hello Neurocrine friends, & colleagues!
Surprise! AI took notes for me as I presented the AI & the Future of the Biopharma keynote with all of you at your event yesterday week! Here are  those notes. I hope they help you on your AI journey. Below you’ll find a few things which may be helpful:

– the AI NOTES from our talk transcribed by Otter.ai
– a downloadable
PDF SUMMARY of the most important slides from my talk

Thank you so much for allowing me to share my thoughts on AI with you!
Please let me know how I can be helpful in the future!
Dan

Dan Chuparkoff smiling and looking upwards, wearing a black Google t-shirt and a blue hoodie with a white fleece lining.

Dan Chuparkoff

A.I. & Innovation Keynote Speaker
CEO, Reinvention Labs
AI Educator & Innovation Expert from
Google, McKinsey, & Atlassian

PDF SUMMARY of key slides from Dan’s AI talk

This “Slide Cheatsheet” was customized for your specific talk. It’s designed to help audience-members like you, by wrapping my AI & the Future of Everything keynote into an easy-to-skim, easy-to-share, or easy-to-print resource for future reference.

Download the 3 page
high-resolution PDF here:

Hope you find it helpful!

AI NOTES from Dan’s Keynote

*These notes were created automatically by Otter.ai. Transcription errors or mistakes have not been fixed
in order to demonstrate the current state of AI notes.


Summary

Dan Chuparkoff discussed the transformative impact of AI on work processes, emphasizing its potential to automate routine tasks and enhance productivity. He shared his personal journey from a high school Co-op program to a leadership role at Google, highlighting the pivotal role of technology in his career. Chuparkoff explained how AI tools like ChatGPT and Google VEO are revolutionizing communication and collaboration, making tasks like note-taking and translation more efficient. He stressed the importance of responsible AI use, urging users to verify AI-generated information and understand its limitations. Chuparkoff concluded by encouraging the adoption of AI to create more value and improve decision-making in the industry.

Action Items

[ ] Explore the 10 ways AI can change the work of a bioservices organization and follow up on the ChatGPT prompt provided.

[ ] Sign up for the training session on Friday to learn more about getting started with AI tools approved for use in the organization.

[ ] Scan the QR code at the end of the presentation to access the AI notes from the session.

Outline

Introduction and AI Demonstration

  • Speaker 1 introduces Dan Chuparkoff as a trailblazer with over 30 years of experience in innovation at Google and McKinsey.

  • Speaker 2 describes Dan as an understandable technology speaker who simplifies complex concepts.

  • Speaker 3 highlights Dan's ability to captivate audiences from Fortune 100 companies to South by Southwest.

  • Dan Chuparkoff begins his talk by demonstrating AI-generated clips using Google VEO, emphasizing the rapid advancements in AI.

AI's Impact on Work and Personal Stories

  • Dan discusses the significant changes AI will bring to the way teams work, using the example of his own career transformation.

  • He shares his personal story of growing up in a challenging environment and how technology, starting with AutoCAD, changed his life.

  • Dan explains the concept of "copy and paste moments" in technology, which drastically improve productivity and accuracy.

  • He emphasizes the importance of adapting to new AI tools and how they will become as instinctive as using copy and paste.

Current AI Usage and Misconceptions

  • Dan notes that people are rapidly shifting their search behavior from Google to AI tools like ChatGPT.

  • He explains the limitations of AI, such as its inability to understand its own capabilities and the need for users to verify AI-generated information.

  • Dan shares an example of AI's misconception of AI, using a robot with multiple faces as an illustration.

  • He stresses the importance of responsible AI usage and the need for AI clarity to mitigate risks.

AI's Predictive Nature and Hallucinations

  • Dan conducts a live experiment to demonstrate how AI predicts the next word in a sentence, highlighting its consensus-driven nature.

  • He explains that AI's confidence in its answers is not always reliable and users should verify the sources and confidence levels.

  • Dan discusses the concept of AI hallucinations, where AI provides incorrect information due to the quality of its training data.

  • He provides an example of a pizza-making tip from the internet, illustrating how AI learns from the internet's diverse and sometimes unreliable information.

AI's Role as an Assistant and the Importance of Trust

  • Dan compares AI to an intern, emphasizing the need for users to review and verify AI-generated work.

  • He discusses the importance of trust in AI and the need for users to challenge AI's answers when necessary.

  • Dan highlights the role of AI as a content creation assistant, helping users write stories, project briefs, and research papers.

  • He encourages users to use AI tools to improve their work efficiency and accuracy.

AI's Impact on Communication and Collaboration

  • Dan discusses the significant impact AI will have on communication and collaboration, particularly in global settings.

  • He mentions tools like Otter for AI note-taking and real-time automated translation in meetings.

  • Dan emphasizes the importance of using trusted AI tools to avoid privacy and security risks.

  • He highlights the potential for AI to democratize communication and collaboration, making it easier for people to work together across language barriers.

AI's Role in Problem Solving and Decision Making

  • Dan explains that AI will not replace human problem-solving, decision-making, or imagination but will assist in these areas.

  • He discusses the importance of human memory and personal experiences in decision-making, which AI cannot replicate.

  • Dan emphasizes the need for humans to continue being problem solvers, decision makers, and imaginers in their roles.

  • He highlights the opportunity for AI to help humans focus on higher-value tasks by automating routine tasks.

AI's Impact on Work Efficiency and Value Creation

  • Dan discusses the potential for AI to significantly improve work efficiency by automating routine tasks.

  • He emphasizes the importance of using AI tools to create more time for higher-value tasks like problem-solving and decision-making.

  • Dan encourages users to adopt AI tools to improve their work efficiency and create more value for their customers and stakeholders.

  • He highlights the need for organizations to develop strategies for integrating AI into their work processes.

AI's Role in Enhancing Workday Tools

  • Dan discusses the potential for AI to enhance common workday tools like email clients and project management software.

  • He emphasizes the importance of using AI to improve communication and collaboration within organizations.

  • Dan highlights the potential for AI to help users create more thorough and accurate documents and reports.

  • He encourages users to explore the various AI tools available and find the ones that best fit their needs.

Conclusion and Call to Action

  • Dan wraps up his talk by emphasizing the importance of using AI to improve work efficiency and create more value for customers and stakeholders.

  • He encourages users to adopt AI tools and think about the real AI ROI in terms of creating higher value for their work.

  • Dan highlights the need for organizations to develop strategies for integrating AI into their work processes.

  • He concludes by encouraging users to start using AI tools to improve their work efficiency and create a better future for their organizations.

Thank you!