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Starts 3 July 2025 10:56

Ends 3 July 2025

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Beyond the Hype - How Industries Are Deploying AI at the Heart of Their Operations

Explore the groundbreaking shift in how various industries are integrating artificial intelligence into the core of their operations. This engaging session moves beyond the traditional boundaries of AI trials to showcase its practical application across business sectors. Featuring insights from renowned AI scientist Andrew Ng and Siemens'.
World Economic Forum via YouTube

World Economic Forum

2765 Courses


39 minutes

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Overview

Explore the groundbreaking shift in how various industries are integrating artificial intelligence into the core of their operations. This engaging session moves beyond the traditional boundaries of AI trials to showcase its practical application across business sectors.

Featuring insights from renowned AI scientist Andrew Ng and Siemens' CEO, we'll delve into strategies for building intelligent systems that power the factories of the future.

These thought leaders will share their vision and experiences in deploying AI to foster innovation and productivity.

Join us on YouTube for this transformative learning experience and gain valuable knowledge that bridges the gap between theoretical AI concepts and their real-world execution.

Syllabus

  • Introduction to AI in Industry
  • Overview of AI capabilities
    Distinguishing hype from reality
  • Insights from AI Leaders
  • Lecture by AI scientist Andrew Ng
    Keynote from Siemens' CEO on intelligent systems
  • Case Studies: Real-World Implementations
  • AI in manufacturing: Siemens and smart factories
    AI in logistics and supply chain management
    AI in healthcare: transforming patient care
  • Building AI-Driven Operations
  • Identifying business areas for AI integration
    Frameworks for successful AI deployment
  • Developing Intelligent Systems
  • Machine learning and deep learning in industry
    Natural language processing and computer vision applications
  • Challenges in AI Implementation
  • Data management and quality
    Ethical considerations and bias in AI
  • Future Trends in Industrial AI
  • Emerging AI technologies and applications
    Preparing for disruptive changes in the workforce
  • Conclusion
  • Recap of key insights and best practices
    The path forward for AI in industry

Subjects

Computer Science