Notes on Artificial Intelligence for Business by Tim Sanders

Overview

Tim Sanders discusses the current state of AI adoption in business as of 2023.
Executives are motivated by fear of missing out and a lack of understanding of AI.
There has been significant energy toward AI adoption, spurred by the popularity of ChatGPT.

Mass Adoption: 2023 marked the first time average business people used AI for direct benefits.
"The Technology Fallacy" (2019): Key takeaways:
- Dependency on finding qualified talent for digital transformations like AI.
- AI is not an off-the-shelf product; it requires significant human effort.

Talent Acquisition: Strategic talent acquisition is essential in implementing AI, focusing on:
- Full-time talent (hard to find currently)
- Freelancers through platforms like Upwork for flexibility.

Strategic Consulting:
- Experts needed to assess business opportunities and threats.
- Identify and stage use cases for GenAI deployment.
- Measure results and connect efforts along the data pipeline for value creation.
Systems Architecture & Info Security:
- Develop architecture to integrate AI solutions safely.
- Protect intellectual property, especially with open-source solutions.
Talent Roles:
- Prompt Engineers: Ensure AI outputs are suitable for production.
- Quality Engineers: Document and feedback on AI outputs for improvement.
- AI Engineers: Fine-tune models and chatbots for specific business needs.

Core Team: Full-time members focused on judgment and decision-making roles, adapting to decreased costs of prediction.
On-demand Talent: Specialists such as:
- Prompt engineers
- Python engineers
- Consultants and CSEC architects
AI & Chatbot Integration: A workforce composed of both human and machine elements, emphasizing:
- Integration issues
- Cultural complexities