🎯 What This Tutorial Covers

This tutorial explores leading industry approaches to designing data and AI strategies, comparing them with real-world strategies developed by organizations worldwide.

📌 While many companies initiate data management and AI projects, only a few have developed comprehensive strategies to support them.

📌 Industry authorities provide theoretical models, yet practical implementation often differs due to unique business needs and constraints.

📌 By analyzing publicly available data strategies, participants will learn how to transform abstract concepts into actionable frameworks that align with their organization’s goals, needs, and resources.

🏆 Key Takeaways

📖 Mastering Foundational Frameworks

✅ Understand core structures of data management and AI strategies based on:

🔹 DAMA-DMBOK2 & Gartner for data management strategies

🔹 Microsoft, Gartner, IBM, and Harvard frameworks for AI strategy

🛠 Crafting Aligned Strategies

✅ Learn how to develop integrated data and AI strategies using a proven development model.

✅ Determine the optimal alignment between data and AI strategies to meet business needs.

✅ Build unified capability maps and best practices for organizational success.

🌍 Bridging Theory and Practice

✅ Explore real-world examples to identify gaps between theoretical frameworks and practical execution.

✅ Analyze publicly available strategies and case studies for actionable insights.

✅ Apply best practices to create customized, effective strategies for your organization.

🚀 This tutorial is your opportunity to gain hands-on insights into effective data and AI strategy development.

📢 Ready to build a strategy that works? Join us now!