Big Data's Big Deal - Viktor Mayer-Schonberger

Explore the transformative potential of Big Data across economic sectors and society in this 44-minute Oxford Mathematics Public Lecture. Delve into a comprehensive analysis of Big Data's key characteristics and their potential to meet high expectations. Examine real-world applications through case studies, including flu prediction and machine translation. Investigate the rapid growth of data in our digital world and its implications. Learn about the challenges of managing messy data and the process of datafication. Discover how various industries and startups are extracting value from Big Data. Consider the impact on internal operations and the rise of self-styled experts. Critically evaluate the problems and limitations associated with Big Data implementation. Gain valuable insights into the future of data-driven decision-making and its societal implications.

Introduction
Flu Case Study
Data Growth
Digital World
More Data
Messy
Machine Translation
Health
Datafication
Extracting Value
StartUps
Internal Operations
Selfstyled Experts
Learning
The Problem
Conclusion