AI Becoming the Human Edge - How to Build Your AI Strategy

Overview

Discover how to build an effective AI strategy with Johann Strauss as he explores GenAI as a competitive necessity, data importance, and the value of sovereign AI platforms for customers.

Syllabus

• Introduction to AI Strategy
Course overview and objectives
Understanding the importance of AI in modern business
• The Role of Generative AI
Defining Generative AI (GenAI)
GenAI as a competitive necessity
Case studies of successful GenAI adoption
• Data: The Foundation of AI Strategy
Importance of data in AI
Data collection and management strategies
Ensuring data quality and integrity
Legal and ethical considerations in data use
• Sovereign AI Platforms
Overview of sovereign AI
Benefits and challenges of sovereign AI platforms
Evaluating different AI platform options for customization and control
Regulatory and security considerations
• Building Your AI Strategy
Key components of an AI strategy
Aligning AI strategy with business objectives
Identifying and overcoming barriers to AI adoption
Developing a roadmap for implementation
• Measuring Success and ROI
Setting measurable goals for AI projects
Evaluating the impact of AI initiatives
Continuous improvement and scaling AI solutions
• Conclusion and Next Steps
Recap of key learnings
Future trends in AI
Resources for continued learning in AI strategy development
• Interactive Sessions and Workshops
Applying lessons through case studies and real-world scenarios
Group discussions and peer feedback
• Final Project
Developing a comprehensive AI strategy proposal
Presentations and peer review

Subjects

Computer Science