Adell Falah's Key Ideas from The AI Advantage
by Thomas H. Davenport

• Process automation” – This common application uses robots or RPA for repetitive tasks, transferring data between systems, updating or reconciling systems, and so on.

“Cognitive insight” – This involves using AI to generate apps that employ algorithms to find data patterns and help users interpret data.

“Cognitive engagement” – Businesses provide AI for customers and workers, as in around-the-clock customer service; recommendations; answering employee

Organizations need to create cognitive strategies for AI development.

Why?

• Data analysis is a key aspect of AI.
• Usage strategies should align with the organization's handled content.
• Set goals for internal and external usage
• Some strategies can evolve into AI-driven business models and drive future development.

How?

• Develop strategies that cater to your specific organization and AI system.
• Ensure alignment with the type of data being handled.
• Take into consideration both internal and external goals.
• Continuously evaluate and improve strategies as AI technology evolves.

• AI strategy leads to improved data analysis and utilization of AI technology.
• It enables organizations to make efficient decisions and improve their decision-making capabilities.
• AI strategy provides the potential to develop innovative and AI-driven business models.
• It encourages adaptation and growth in a constantly evolving technology landscape.

Organizations can see workers go through five stages as AI is implemented:

1. 🔍 "Stepping in" - Monitoring & modifying AI apps
2. 🏃‍♂️ "Stepping up" - Using AI for simple tasks & creating strategic visions
3. 🤝 "Stepping aside" - Focusing on skills that humans excel at, like collaboration
4. 🧐 "Stepping narrowly" - Specialized jobs that won't be automated
5. 🚀 "Stepping forward" - Designing & building new AI

Get ready for the future of work and the role of AI in the workforce!