AI & the Future of Work – Starling Annual Meeting, 2024


Hello my new Starling friends!
Thank you so much for allowing me to share the stage at the Starling Annual Meeting at the beautiful Lake of the Ozarks with you. As promised, in exchange for scanning that QR code, I have made this page with a few resources which may be helpful:

– a downloadable PDF of the most important slides from my talk
– a
SLIDES/AUDIO MASHUP so that you can listen to the talk again
– an
A.I. SUMMARY of the talk from Otter.ai

Dan Chuparkoff

A.I. & Innovation Keynote Speaker
CEO, Reinvention Labs

To discuss future engagements with Dan,
please reach out to Julie Homsey

Click Download for the PDF summary of slides from the AI Keynote at Starling’s 2024 Annual Meeting

This was the FULL VIDEO of the talk

This was posted for audience convenience but was removed on Aug 1, 2024. .

A.I. Notes from the Dan’s Keynote at Starling Annual Meeting 2024

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


Summary

Dan Chuparkoff discussed the impact of AI on various industries, including healthcare, and the potential for AI assistants to transform the way teams collaborate. He emphasized the importance of partnerships between humans and AI to achieve better patient outcomes and new discoveries. Chuparkoff also highlighted the challenges of understanding AI and its limitations, including the need to avoid using the term.

Action Items

  • Play around with AI assistants like ChatGPT, Claude, and Gemini to understand their capabilities and limitations.

  • Consider using AI for tasks like meeting transcription, note-taking and information management to reduce time spent on communication and free up time for higher-level work.

  • Identify specific problems or opportunities in your industry where AI could be applied to generate recommendations or personalized solutions.

Outline

AI's potential impact on society, explained by a former Google and McKinsey executive.

Dan Chuparkoff, a technology leader, discusses AI's impact on healthcare services.

Chuparkoff emphasizes AI's potential to revolutionize work processes in healthcare administration.

Dan Chuparkoff discusses AI, describing it as both exciting and scary, and highlighting its potential to change various industries and aspects of life.

Chuparkoff emphasizes the importance of understanding AI's capabilities and limitations, and provides examples of how it can be used to solve problems.

AI hype cycles and how to navigate them.

Dan Chuparkoff shares his experience in navigating new technology cycles, from empty desks in 1995 to leading Google's technology team in 2020.

Chuparkoff highlights the failure rate of digital transformations, citing statistics from HBr, BCG, McKinsey, and Deloitte.

Dan Chuparkoff advises against using the term "AI" too frequently, as it can be misleading and oversimplify the complex nature of the technology.

Chuparkoff highlights the inconsistency in how AI is defined and understood, with some viewing it as a long-standing technology and others as a new, revolutionary concept.

AI use in recognition and generative models.

Dan Chuparkoff explains two types of AI: recognition algorithms and generative, pre-trained transformers.

Recognition algorithms identify objects or jobs, while generative transformers create new content like stories or answers.

Dan Chuparkoff demonstrates how AI works by generating sentences and asking the audience to provide the next word.

AI uses language models to predict the next word in a sentence or story, with a 40% chance of being correct.

AI's capabilities and limitations, including word prediction and understanding context.

Dan Chuparkoff explains how AI works, using language models and massive spreadsheets to generate responses.

He highlights the limitations of AI, including the potential for inaccurate or unhelpful responses, and the need for human oversight.

Dan Chuparkoff explains how AI learns from the world and provides answers based on popularity, rather than quality.

AI may provide incorrect or misleading answers, especially when dealing with complex questions or topics.

AI language models improves dramatically with 13 trillion data points.

Dan Chuparkoff explains how advancements in graphics processing units (GPUs) led to the development of better AI models like Google Transformer and OpenAI's GPT.

ChatGPT's growth: 100M daily active users in 62 days, 13 trillion pieces of data in GPT-4.

AI technology and its applications in various industries, with a focus on healthcare.

Dan Chuparkoff explains how chatgpt has evolved in 6 years, from basic to perfect understanding of the world.

Chatgpt is now integrated into Microsoft products, including SharePoint, Teams, and Outlook, under the brand name Copilot.

Dan Chuparkoff discusses AI tools for voice assistants, highlighting Gemini from Google and Claude from anthropic.

Voice ITT's algorithm trains on individual patient voice patterns to translate and summarize for people with speech difficulties.

Using AI to assist healthcare service providers, including resource optimization and personalized participant care.

Dan Chuparkoff asked ChatGPT for ways AI can assist healthcare providers, and it provided two insights: resource optimization and personalized participant care.

AI can recognize patterns in data and generate recommendations for optimizing outcomes, such as resource allocation and care plan development.

Dan Chuparkoff explains how AI works as an intern, providing instructions and reviewing results.

Generative AI can create new images or stories one pixel or one word at a time, making decisions based on patterns in existing data.

AI's impact on work, hierarchy of human expertise, and how AI can take over process work.

Dan Chuparkoff emphasizes the diversity of AI applications, from protein folding to email marketing.

Dan Chuparkoff explains the hierarchy of human expertise, breaking down work into process, communication, inspection, and problem-solving.

AI will take over some of the process work, but it's important to manage it and choose what tasks to give it, according to Chuparkoff.

AI's role in managing communication and information in the workplace.

Dan Chuparkoff argues that AI will free up time for creative work by automating repetitive tasks.

He suggests that people should focus on problem-solving, discovery, and imagination, which are unique to humans.

Dan Chuparkoff highlights the inefficiencies in the knowledge workforce, where most time is spent on communication and information management.

AI can help improve information management, as it is best at managing and processing information, which is also the area where knowledge workers spend most of their time.

Using AI note-taking tools for efficient meetings.

Dan Chuparkoff demonstrates an online note-taking tool that transcribes and summarizes meetings in real-time.

The tool can answer questions based on past conversations, acting as an assistant for the speaker.

Dan Chuparkoff discusses AI note takers, privacy policies, and collaboration.

Apple is working on an AI-powered Siri that can take notes privately without developer input.

AI assistants, technology, and improving patient outcomes.

Dan Chuparkoff sings and describes images, while Speaker 1 and Unknown Speaker interact with their devices.

Dan Chuparkoff: AI assistants will revolutionize work, freeing up time for creativity and problem-solving.

Thank you!