Artificial Intelligence for Business - Key Points by Tim Sanders

Introduction

• Speaker: Tim Sanders
• Topic: Insights on AI in business for C-suite executives
• Key Focus: AI adoption, talent acquisition, and strategic implementation

Current AI Adoption Landscape

• Energy towards AI: Record high enthusiasm in 2023
• Catalyst: Mass adoption of ChatGPT allowing average business users direct benefits

Revisiting "The Technology Fallacy" (2019)

• Main Point: Finding people to do the work is the biggest dependency in digital transformation
• Reference: Article "AI Is a Lot of Work"
• Key Insight: AI requires extensive workforce involvement for data handling, coding, quality management, support, and implementation

Implementation Strategy

• Not Off-the-Shelf: AI can't be simply purchased and used; requires strategic approaches
• External Networks: Utilize platforms like Upwork for talent sourcing

Talent Services Model for GenAI

1. Strategic Consulting:
   • Understand business opportunities and threats
   • Identify deployment strategies, stages, measures, and data pipeline connections
2. Systems Architecture & Info Security:
   • Prevent IP leakage, especially with open-source solutions
3. Tactical Roles:
   • Prompt Engineers: Determine direct-to-production outputs from AI
   • Quality Engineers: Internal/external experts for quality management
4. Tuning Experts:
   • Fine-tune models and chat bots for bespoke business cases

Future Workforce

• Judgment Business: Full-time team members focusing on judgment as prediction costs drop
• On-Demand Talent: Specialized skill sets like prompt and Python engineers, consultants, CSEC architects
• Chat Bot Population: Inclusion of AI agents in the workforce, managing integration and cultural issues

Final Thoughts

• Emphasis on Changes: The future will have significant shifts in workforce structure and AI integration.
• Ongoing Insights: More thoughts to be shared in the future.