What You Need to Know Before
You Start
Starts 8 June 2025 22:16
Ends 8 June 2025
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The AI Hype is Real... But Are You Ready for It?
Discover what it takes to prepare your organization for AI implementation, from data governance to strategic planning, and learn why building the right foundation is essential before investing in artificial intelligence.
Eric Kimberling - Digital Transformation
via YouTube
Eric Kimberling - Digital Transformation
2544 Courses
11 minutes
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Overview
Discover what it takes to prepare your organization for AI implementation, from data governance to strategic planning, and learn why building the right foundation is essential before investing in artificial intelligence.
Syllabus
- Introduction to AI
- The Strategic Implications of AI
- Data Governance for AI
- Preparing Your Organization for AI
- AI Technologies and Tools
- AI Project Planning and Execution
- Ethical and Responsible AI
- Measuring AI Success
- Case Studies and Real-World Applications
- Conclusion
Understanding AI and its capabilities
The current AI landscape and trends
Identifying business problems suited for AI
Aligning AI initiatives with business goals
Importance of data quality and integrity
Data privacy and security considerations
Establishing data governance frameworks
Building an AI-ready culture
Training and development for AI literacy
Overview of prevalent AI tools and platforms
Criteria for selecting the right AI tools
Setting realistic goals and expectations
Managing AI project lifecycles
Addressing ethical concerns in AI implementation
Implementing fairness and transparency
Key performance indicators for AI projects
Continuous evaluation and improvement
Examples of successful AI implementations
Lessons learned from AI project failures
Future trends in AI
Final thoughts on building a strong AI foundation
Subjects
Computer Science
