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Adopting Generative AI isn’t just about selecting the right model. It starts with building the right data foundation. In Part 3 of our Generative AI series, Nathan Liston, Director of Data & Analytics at CleanSlate Technology Group, explains how organizations move from AI experimentation toward scalable execution using proven accelerators and pattern-based solutions on AWS. Nathan walks through why data quality is critical to AI success and how reusable frameworks, including medallion architecture, allow teams to move faster without rebuilding from scratch. Rather than treating AI as a one-off initiative, this approach focuses on establishing a durable data and AI platform that can support multiple use cases over time. In this video, you’ll learn: Why data quality drives AI outcomes How pattern-based accelerators speed adoption The role of medallion architecture in responsible scaling How reusable frameworks support long-term growth This is Part 3 of our 4-part Generative AI series. In the final video, we explore how these foundations translate into measurable business impact. 🔹 Explore the full series for the complete perspective on enterprise AI adoption. 👉 Learn how CleanSlate helps organizations accelerate on AWS with confidence: https://www.cleanslatetg.com/partners... 🎥 Watch Part 3: • How CleanSlate Helps Clients Adopt Generat...