Recent digital advancements, despite substantial investments in AI and big data, show limited economic returns. This presentation analyzes five large-scale digitalization programs, using AI as a primary tool, aiming for the highest ROI. Each case study analyzes the impact of AI based digitalization at the level of enterprise architecture and value chain of companies. It pinpoints critical obstacles—complexity, managerial capability, and compatibility—as sharp knives impeding organizational performance in comprehensive AI-based transformations. These factors are critical in understanding why organizations often struggle to achieve the intended outcomes and ROI from AI-driven programs. Yury summarizes key principles for Enterprise Architecture’s four layers, offering a roadmap to overcome hurdles and accelerate the transition to AI-powered businesses.

LEARNING OBJECTIVES

• Analyze case studies of AI based implementations
• Understand key failure factors of AI implementations
• Recommend elements of EA architecture to mitigate risk of failure