The Anatomy of Decision-Making in the Age of AI

Show Notes for the Camilo Acosta Episode on Crazy Wisdom Introduction

Camilo Acosta joins us to discuss a broad range of topics surrounding AI, from its application in healthcare to its growing influence in Latin America. He dives deep into how AI technologies are evolving and what that means for businesses and consumers alike. Follow Camilo here

Key Takeaways

1. The Astounding Capability of AI in Healthcare

   • AI technologies can predict potential maladies with high accuracy.
   • Notable advancements in healthcare AI are taking place at Mayo Clinic.

2. The Current State of AI Prediction

   • AI technologies have moved beyond generative images and text and now predict what we want to see or read.

3. Future of AI: Action Over Prediction

   • The next step in AI evolution is not just predicting events but acting on those predictions.

4. The Three-Step Process for Decision Making

   • Collect data, apply judgment, and make a decision.

5. Noteworthy AI Companies

   • Up-and-coming companies are making strides in areas like AI robotic surgery.

6. The Role of AI in Latin America

   • Latin America presents a blue ocean opportunity for new AI businesses.

7. Financial Services and AI

   • Banks like BBVA are starting to integrate AI technologies.

8. Communication Through WhatsApp

   • 70% of businesses in Latin America are using WhatsApp for various activities.

9. AI and Automation

   • AI enables more complex workflows than rules-based automation.

10. Emerging Trends and Technologies

    • LLMs, open source contributions, and more are shaping the future of AI.

Detailed Discussion Most Interesting AI Developments

• Medical Field: The ability for AI to predict potential health issues is not just promising but is already showing results.

State of AI Predictive Technology

• Prediction Machines: Current AI technology is capable of generating text and images based on prompts and predicting user behavior.

Future of AI

• Taking Action: The ultimate goal for AI is to not just predict but also to act on those predictions.

Healthcare Innovations

• Mayo Clinic: Mayo Clinic is at the forefront of implementing AI in healthcare, with particular emphasis on diagnostics.

Decision-Making in AI

• Data, Judgment, Decision: A typical decision-making process in AI involves collecting data, applying judgment based on that data, and then making decisions.

Latin America's AI Landscape

• Blue Ocean Opportunity: There's a lack of strong incumbents in the AI space, providing new entrants with less competition.

Automation vs. AI

• Differences: Rules-based automation is not AI; AI involves more complex workflows and decision-making processes.

Quotable Moments

• "The next step in AI evolution is not just predicting events but acting on those predictions."
• "Latin America presents a blue ocean opportunity for new AI businesses."