AI for Business: Key Insights from Tim Sanders

Fear and Priorities of C-suite Executives

• Tremendous fear of not understanding AI and of missing out.
• High energy towards AI adoption in 2023, sparked by chat GPT.

Importance of The Technology Fallacy Book (2019)

• Critical for understanding digital transformations like AI.
• Key dependency: Finding people to do the work.
• AI requires extensive human resources: managing data, coding, quality control, support, implementation.
• External networks (e.g., Upwork) essential for successful digital transformation.

Steps for Gen AI Implementation

1. Strategic Consulting
   • Identifying business opportunities or competitive threats.
   • Planning AI deployment across the organization.
   • Staging use cases and measuring results.
   • Connecting efforts along the data pipeline for value creation.
2. Systems Architecture & Info Security
   • Preventing leakage of intellectual property, especially with open-source solutions.
3. Tactical Needs
   • Prompt Engineers: Determine what AI outputs to use or discard, document feedback.
   • Quality Engineers: Internal or external, ensure quality.
   • Tuning AI Engineers: Fine-tune models and chatbots for specific business cases.

Future Workforce and AI Integrations

• Full-Time Team Members: Focus on judgment, co-design, management, and implementation of AI.
• On-Demand Talents: Specialists like prompt engineers, Python engineers, consultants, SysEx architects.
• Chat Bot Population: Part of the workforce, integrating both human and machine elements.
• Managing Culture: Beyond just integration, includes complex issues like culture.