Artificial Intelligence - How Data is Evolving the Future of Technology

Overview

Explore how data is shaping the future of technology and artificial intelligence with insights from Intel's Brian Krzanich at Web Summit.

Syllabus

• Introduction to Artificial Intelligence and Data
Overview of AI and its impact on technology
The role of data in AI development
Key trends in AI and data science
• Historical Perspective and Evolution of AI
Milestones in AI development
Progress in data collection and processing
• The Role of Data in Shaping Modern AI
Data-driven AI technologies
Machine learning principles and data requirements
Big data and analytics
• Insights from Industry Leaders
Key takeaways from Brian Krzanich's talk at Web Summit
Real-world applications and case studies
• Data Collection and Management
Sources and types of data
Data cleaning and preprocessing
Data privacy and ethical considerations
• Advanced AI Technologies
Deep learning and neural networks
Natural language processing
Computer vision
• The Future of AI and Data-Driven Innovation
Emerging trends and technologies
The impact of AI on various industries
Potential challenges and opportunities
• Hands-on Project and Workshops
Practical exercises with real datasets
Building and training simple machine learning models
• Course Conclusion
Recap of key learnings
Future directions in AI and data science
Additional resources for continued study

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Subjects

Conference Talks