Connecting AI to the Real World

Overview

Explore AI's real-world impact, challenges, and solutions with Google's Wieland Holfelder. Learn about automation, robotics, and AI's transformative potential across industries.

Syllabus

• Introduction to AI in the Real World
Overview of AI technologies
Historical context and developments in AI
• AI's Transformative Potential Across Industries
Healthcare: AI in diagnostics and personalized medicine
Finance: Algorithmic trading and fraud detection
Transportation: Autonomous vehicles and traffic management
Retail: Customer insights and supply chain automation
Manufacturing: Smart factories and predictive maintenance
• Automation and Robotics
Basics of robotics and automation
Real-world applications in industrial and service sectors
Human-robot interaction and collaboration
• Challenges in AI Implementation
Ethical considerations and bias in AI systems
Data privacy and security concerns
Regulatory and compliance issues
• Solutions and Case Studies
Successful AI integration examples from Google
Lessons learned from industry leaders
Strategies for overcoming common challenges
• Future Trends in AI
Cutting-edge research and emerging technologies
AI's role in addressing global challenges (e.g., climate change)
Predictions for AI's evolving impact on society
• Hands-on Projects and Practical Applications
Case study analysis of an industry-specific AI application
Group projects developing AI strategies for real-world problems
• Conclusion and Course Wrap-up
Recap of key concepts
Discussion on the future of AI and its potential in various fields
Final reflections and takeaways from the course

Subjects

Conference Talks