AI readiness is often framed around models, technology and talent. In practice, it starts with something more fundamental: trusted data. Without clean, integrated and governed data, even the most sophisticated AI systems can produce unreliable results and erode confidence across the business. I often meet with data industry professionals and […]
The post Why AI projects fail before the model ever runs appeared first on SAS Blogs.