AI is everywhere today from predictions and image generation to speech recognition and physical AI. Yet while experimentation is booming, most companies struggle to turn pilots into real business value. In fact, the majority of generative AI initiatives never make it to enterprise scale, often due to missing data foundations, unclear use cases, and a lack of operational integration. In this session, we’ll explore what it really takes to move from AI hype to measurable impact. You’ll learn why strong data preparation, trusted data spaces, and connected ecosystems are essential for scalable AI, and how combining high-quality data with practical AI applications drives productivity, efficiency, and smarter decision-making.