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FNA Talks Data Science in Economics and Finance with the Bank of England
Adrian Waddy, Data Consultant at Australian Prudential Regulation Authority and Developer at the Bank of England, joins host Adam Csabay to discuss his contribution to the Risk books publication, Data Science in Economics and Finance for Decision-makers.
Adrian's chapter, Implementing Big Data Solutions, provides an insight into implementing Big Data platforms and the decisions that must be made along the way to ensure the platform is efficient, effective and user-friendly.
The book, published in March this year, edited by the ECB's Per Nymand-Andersen, provides an overview of how digital transformation and Data Science can support decision making. It offers a variety of perspectives, from over 20 contributors to manage digital data.
FNA'ers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tomas Takko and Adam Csabay and David Bolder from Nordic Investment Bank also feature in the publication. The latter also discusses his chapter in a previous FNA Talks episode.
Episode breakdown:
1:10: An introduction to Adrian’s background
1:50: What does David’s chapter cover and why is the topic important?
3:00: What are the two main insights for demystifying Data Science
4:42: What are the key takeaways from the chapter, and what advice would you give to decision makers starting Data Science?
6:37: What are the two main lessons you would draw from your chapter?
7:49: What is your vision for Data Science and its evolution?
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By FNA BroadcastsAdrian Waddy, Data Consultant at Australian Prudential Regulation Authority and Developer at the Bank of England, joins host Adam Csabay to discuss his contribution to the Risk books publication, Data Science in Economics and Finance for Decision-makers.
Adrian's chapter, Implementing Big Data Solutions, provides an insight into implementing Big Data platforms and the decisions that must be made along the way to ensure the platform is efficient, effective and user-friendly.
The book, published in March this year, edited by the ECB's Per Nymand-Andersen, provides an overview of how digital transformation and Data Science can support decision making. It offers a variety of perspectives, from over 20 contributors to manage digital data.
FNA'ers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tomas Takko and Adam Csabay and David Bolder from Nordic Investment Bank also feature in the publication. The latter also discusses his chapter in a previous FNA Talks episode.
Episode breakdown:
1:10: An introduction to Adrian’s background
1:50: What does David’s chapter cover and why is the topic important?
3:00: What are the two main insights for demystifying Data Science
4:42: What are the key takeaways from the chapter, and what advice would you give to decision makers starting Data Science?
6:37: What are the two main lessons you would draw from your chapter?
7:49: What is your vision for Data Science and its evolution?