Workshop Overview
Join us for an immersive one-day workshop designed to provide a comprehensive understanding of Artificial Intelligence (AI). This workshop will cover fundamental concepts, ethical considerations, and hands-on experience with AI tools.
Agenda
- 8:30 AM: Check-in
- 9:00 AM: Welcome and Introductions
- 9:15 AM - 10:15 AM: AI Fundamentals
- Develop a foundational understanding of key AI concepts, including machine learning, deep learning, and neural networks.
- Analyze real-world applications of AI in various industries to identify opportunities for innovation and business process improvement.
- 10:25 AM - 12:00 PM: Ethical AI Development
- Gain insights into the importance of ethical AI principles and how to develop a Code of Ethics for AI within your business.
- Learn about initiatives and platforms available for ethical AI development.
- 12:00 PM: Lunch Break
- 12:30 PM - 3:00 PM: Hands-on Tools: Getting Practical Experience with Relevant AI Tools
- Gain practical experience with widely used AI tools and platforms through hands-on exercises, such as Customized ChatGPT, Zoom AI Companion, NotebookLM, Perplexity, and NapkinAI.
- Develop skills to evaluate and select appropriate AI tools for specific business challenges.
- 3:00 PM: Artificial Intelligence Q&A
- 3:30 PM: Adjourn
Technology Requirements
All participants will need to bring a laptop.
Additionally, ChatGPT Plus or Team version (paid version) will be required for the hands-on session to ensure full functionality during the exercises. Visit https://openai.com/chatgpt/pricing/ for more information on both of these tools and pricing, as well as trial and one month cancelation policies.
Instructors
Tim Haithcoat, Assistant Teaching Professor of Data Science and Analytics, Institute for Data Science and Informatics, University of Missouri. Haithcoat’s research interests involve applying geographic information approaches for solving real-world application issues and their subsequent accuracy assessment and validation. This applied research supports interdisciplinary research objectives in a range of diverse areas including wildlife biology, broadband access, risk assessment, social and cultural mapping, and healthcare assessments.
Dr. Kihyung Kim, Assistant Teaching Professor in the Management Department at the Robert J. Trulaske Sr. College of Business, University of Missouri. Kim teaches various quantitative classes such as operations management, supply chain engineering, and data analytics. His research interest lies in supply chain management where many companies collaborate with and compete with each other.
Cost: $450
Contact: Sarah Rielley, edwardssar@missouri.edu, 573-882-0380
Partners
- MU Institute for Data Science and Informatics
- Robert J. Trulaske Sr. College of Business
