Meeting the Integration Challenge - Optimizing Data and Design for Real-World Applications

Explore a 24-minute conference talk from the Alan Turing Institute's data-centric engineering summit that delves into the challenges of data integration and its real-world applications. Learn about the critical factors shaping data transfer, including design, parameters, volumes, and mapping. Discover how industry is integrating data to develop new applications and understand the emerging interplay between computer science, control theory, and learning-based adaptive control. Gain insights into the global dialogue on data science and engineering, covering topics such as reliability, resilience, safety, efficiency, and usability of engineered systems. Examine case studies, new standards, and developments in ethics, policy, and regulation. Understand how data-centric engineering is transforming industry, scaling projects, and addressing core challenges at the intersection of statistics, engineering, data science, and machine learning. The talk covers introduction, data integration in industry, comments on integration, Gatwick Airport case study, the role of humans, and concluding remarks.