How AI is Transforming Evaluation Practices 0 like January 21, 2025Share this postAuthor(s): Mirko Peters Originally published on Towards AI. This post explores the transformative effects of advanced data integration and AI technologies in evaluation processes within the public sector, emphasizing the potential, challenges, and future implications of these innovations.This member-only story is on us. Upgrade to access all of Medium.Source: Data & Analytics YouTube ChannelWhen I first stumbled upon the complexities of blending diverse data sources, I felt like I was trying to solve a puzzle where pieces came from entirely different sets. This revelation led me down a fascinating path exploring how todays technology reshapes our understanding of massive, intertwined data landscapes. As I dived deeper, I realized that this wasnt just about managing data; it was about transforming how we evaluate public policies and services in a digitally driven age. This post unpacks the integral role of AI, machine learning, and other tech advancements in honing our evaluation practices.Source: Mirko Peters Challenges in Data Integration [Napkin.AI]When I think about the challenges we face in the realm of data, a vivid image comes to mind: a jigsaw puzzle scattered across a table. Each piece represents a different type of data. Some are traditional databases, while others emerge from social media, online surveys, and various digital sources. The task at hand is clear: we must find a way to fit these pieces together to see the whole picture.The integration of data is not just about quantity; its Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post