D&H PartnerFi:
AI & the Future of Technology Distributors
Hello D&H colleagues, partners, & friends!
AI took notes for me as I presented the AI & the Future of Technology Distributors keynote with all of you in San Diego, 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:
– a downloadable PDF SUMMARY of the most important slides
– the AI NOTES from our talk transcribed by Otter.ai
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
A.I. & Innovation Keynote Speaker
CEO, Reinvention Labs
AI Educator & Innovation Expert from
Google, McKinsey, & Atlassian

PDF SUMMARY of key slides
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, an AI expert with over 30 years of experience, discussed the transformative power of AI in business. He highlighted the use of AI tools like Google VO for video generation and ChatGPT for text prediction. Chuparkoff emphasized the importance of AI in enhancing communication, collaboration, and decision-making. He shared insights on how AI can automate routine tasks, improve meeting efficiency, and facilitate global collaboration through real-time translation. Chuparkoff also stressed the need for AI observability to manage AI's reliability and the potential for AI to handle high-value work, allowing humans to focus on problem-solving and decision-making.
Action Items
[ ] Research and identify 10 ways that AI can impact the work of people in the distribution, reseller, and partner industries.
[ ] Explore AI-powered tools and assistants that can help improve the efficiency of meetings, email, and communication within the organization.
[ ] Investigate the availability and feasibility of implementing real-time translation capabilities to enhance global collaboration.
Outline
Introduction and Initial Impressions
Speaker 1 introduces Dan Chuparkoff as a trailblazer with over 30 years of experience 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 speech by revealing that the video introduction was created using Google VO, a product that generates authentic human speech.
Dan's Journey and Early Experiences with Technology
Dan shares his background, starting from his high school Co-op program in Tampa, Florida, where he worked in the architecture division.
He describes his first experience with AutoCAD, which revolutionized his work by allowing him to copy and paste parking lot lines, significantly reducing the time required.
Dan reflects on the resistance from his boss, who saw AutoCAD as a threat to his job rather than a tool for acceleration.
He emphasizes the importance of understanding technology as an acceleration tool rather than a work displacement tool.
The Evolution of Technology and AI
Dan discusses the progression of technology over the past 32 years, including PCs, spreadsheets, the internet, mobile, cloud, data science, and remote work.
He predicts that AI will become an essential part of daily life, similar to the previous technological advancements.
Dan criticizes the common misunderstanding of AI, comparing it to people treating AI as a pinata without understanding its true potential.
He stresses the need for leaders to identify useful AI tools and implement them effectively to create customer value.
Understanding GPTs and AI Predictions
Dan explains the concept of GPTs (Generative Pre-trained Transformers) and their role in AI.
He conducts a live demonstration with the audience to illustrate how AI predicts the next word in a sentence, emphasizing the consensus-driven nature of AI.
Dan discusses the limitations of AI, such as its inability to guarantee 100% certainty and the potential for hallucinations.
He advises users to ask AI for its confidence level and to understand the context in which AI's answers are generated.
AI's Impact on Various Industries
Dan uses an AI assistant to generate a list of 10 ways AI will impact the work of distributors, resellers, and partners in the technology industry.
He highlights specific AI applications such as guided selling, proposal automation, solution design, and pricing optimization.
Dan encourages the audience to regularly ask AI for updates on industry trends and best practices.
He emphasizes the importance of customizing AI questions to specific roles and responsibilities.
AI's Role in Communication and Collaboration
Dan discusses AI's potential to enhance communication and collaboration by improving meeting notes and facilitating real-time translation.
He shares his experience with Otter, a tool that transcribes and summarizes meeting notes, significantly reducing meeting time.
Dan introduces Hey Jen, a product that allows users to translate videos into different languages, showcasing the future of global collaboration.
He predicts that real-time translation will become ubiquitous, enabling better communication across language barriers.
The Future of Work with AI
Dan outlines the hierarchy of human expertise, emphasizing the importance of problem-solving, decision-making, and imagination in human work.
He argues that AI will never replace these higher-level tasks, as AI lacks the ability to understand context and make decisions based on memories and hopes.
Dan discusses the reliability challenges of AI, comparing it to other technologies with limited reliability.
He advises organizations to build observability layers to monitor and manage AI failures, similar to how they manage other technology systems.
AI's Impact on Efficiency and Productivity
Dan highlights the potential for AI to significantly improve efficiency by automating routine tasks and enhancing communication.
He estimates that AI could save 25% of the time spent in meetings, equivalent to hiring additional team members.
Dan encourages the audience to adopt AI tools that can help them manage information more effectively, such as meeting assistants and note-taking tools.
He predicts that AI will become an essential part of daily work, similar to how the internet and phones are now.
The Role of AI in Enhancing Customer Value
Dan emphasizes the importance of using AI to create customer value rather than just deploying it for the sake of innovation.
He advises organizations to focus on specific AI applications that directly improve customer experiences and business outcomes.
Dan highlights the need for continuous learning and adaptation to stay ahead of AI advancements.
He encourages the audience to think about how AI can help them achieve their goals and improve their work.
Conclusion and Call to Action
Dan concludes by encouraging the audience to embrace AI as a tool for accelerating high-value work and improving collaboration.
He emphasizes the importance of understanding AI's limitations and building reliable systems to manage AI failures.
Dan predicts that AI will fundamentally change the way work is done, enabling teams to focus on higher-level tasks and create a better future.
He thanks the audience and invites them to explore the QR code for additional resources and slides.