Data Science in Economics and Finance for Decision Makers
First published:
ISBN: 978-1-78272-394-3
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Artificial intelligence and data are transforming the modern newsroom: a Bloomberg case study
Claudia Quinonez and Riad Hamade
Artificial intelligence and data are transforming the modern newsroom: a Bloomberg case study
Foreword
Introduction
Digitalisation and transformation in economics and finance
Big data for policymaking in economics and finance: the potential and challenges
Quality matters: for insightful quality advice, get to know your big data
Statistics and machine learning: variations on a theme
Advanced statistical analysis of large-scale Web-based data
Text analysis
Prudential stress testing in financial networks
Data visualization: developing capabilities to make decisions and communicate
Data science in economics and finance: tools, infrastructure and challenges
Data science and machine learning for a data-driven central bank
Large-scale commercial data for economic analysis
Artificial intelligence and data are transforming the modern newsroom: a Bloomberg case study
Implementing big data solutions
A borderless market for digital data
Legal/ethical aspects and privacy: enabling free data flows
Assessing the trustworthiness of artificial intelligence
“Big tech”, journalism and the future of knowledge
Journalism has always been a mix of the exciting and the mundane. Impactful and memorable stories are the result of great journalistic sleuthing, but every news organisation also has routine and mechanical tasks to complete. In both these areas, artificial intelligence (AI), automation and digitisation are transforming the newsrooms of the world’s biggest media organisations. Automation can free up valuable reporting time by taking over these routine tasks, and the combination of AI, digitisation and the ever-greater availability of data allow for the creation of fast, insightful and unique content that was previously either time intensive or simply not possible. While it may not be the panacea for the spread of misinformation, the use of these technologies can help raise the quality and frequency of accurate, informative and compelling news stories. This chapter uses the example of Bloomberg News to describe some of the tools developed and the content generated as a result of the adoption of these technologies. We shall show that the future newsroom will very much be one where the machine and the human form a dream team of journalism.
THE DIGITAL NEWSROOM
With the
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