SHARE 2025: AI & the Future of Enterprise IT – from DevOps to AIOps


Hello SHARE friends, & colleagues!
Surprise! AI took notes for me as I presented the AI & the Future of the Enterprise IT keynote with all of you at your event this 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, emphasizing its role in automating routine tasks and enhancing productivity. He highlighted the importance of understanding AI's limitations, such as its 40% confidence level and potential hallucinations. Chuparkoff shared his journey from a high school co-op job to leading a team at Google, illustrating how technology has evolved. He noted that AI is already widely used, with nearly 1 billion weekly users, and stressed the need for AI observability to ensure reliable AI systems. Chuparkoff also discussed AI's potential in improving communication and decision-making, predicting a future where AI assists in problem-solving and strategic thinking.

Action Items

[ ] Type the prompt "What are 10 ways that AI will change the work of people that develop, maintain, administer and support, integrate enterprise grade, mission critical mainframe systems?" into ChatGPT and review the results.

[ ] Explore how to implement AI observability and auditing mechanisms for any AI systems deployed in the organization.

[ ] Investigate the use of AI-powered meeting assistants and knowledge bases to improve the efficiency of team collaboration and communication.

Outline

Introduction of Dan Chuparkoff and AI's Impact

  • 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 the "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 by explaining the introduction was generated by Google VEO in 30 seconds, showcasing AI's role in daily tasks.

Dan's Journey and Early AI Experiences

  • Dan shares his journey from a 17-year-old in a trailer park in Tampa, Florida, to a leader at Google with 2 billion customers.

  • He recounts his first job in high school, designing parking lots with ink on paper, and meeting Mr. Pak, who introduced him to AutoCAD.

  • Dan describes the transformative experience of using AutoCAD's copy and paste feature, which significantly sped up his work.

  • He emphasizes the importance of seeking "copy and paste moments" in technology to improve efficiency.

AI Usage and Understanding in the Audience

  • Dan asks the audience about their current use of AI assistants like ChatGPT or Claude.

  • He notes that almost 1 billion people use AI weekly, similar to the number of people driving cars weekly.

  • Dan discusses the importance of understanding AI's limitations and pitfalls, using the example of AI's current inability to accurately describe itself.

  • He explains that AI is essentially a database and that its predictions are based on probabilities, not absolute truths.

AI's Role in Modern Work and Challenges

  • Dan explains the generative, pre-trained transformer (GPT) model used in ChatGPT and its limitations, such as outdated training data.

  • He conducts an experiment with the audience to illustrate how AI predicts the next word in a sentence, highlighting its probabilistic nature.

  • Dan warns about the "hallucination problem" where AI's confidence in its answers is not always accurate.

  • He advises users to ask AI for its confidence level and to verify its sources to avoid misinformation.

AI's Impact on Various Industries and Roles

  • Dan discusses how AI will change the work of people in different industries, using the example of AI's role in modernizing mainframe systems.

  • He emphasizes the importance of using AI as a coach rather than a copilot, comparing it to an intern who needs constant review and feedback.

  • Dan highlights the need for AI observability to audit AI's decision-making processes and ensure reliability.

  • He predicts that AI will automate routine tasks, freeing up time for more complex problem-solving, decision-making, and imagining new futures.

AI's Role in Communication and Efficiency

  • Dan explains how AI can improve communication efficiency by using meeting assistants and note-taking tools.

  • He describes the potential for AI to create knowledge bases from meeting notes, enhancing organizational memory and expertise.

  • Dan shares his personal experience of using AI note-taking tools to improve his presentations and discussions.

  • He emphasizes the importance of AI in managing the increasing demands on professionals' time and resources.

The Future of AI and Human Collaboration

  • Dan predicts that AI will continue to evolve, becoming more reliable and integrated into various aspects of work.

  • He stresses the importance of human involvement in AI's decision-making processes to ensure alignment with organizational values and goals.

  • Dan highlights the need for continuous learning and adaptation as AI technology advances.

  • He concludes by encouraging the audience to embrace AI as a tool to enhance their work and create a better future.

Thank you!