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As we get carried away with modern data trends and new technical developments, it's easy to forget the rich history behind computable data and analytics dating as far back as World War II in the 1940s. Luckily, we have a data historian to remind us!
Host Malcolm Hawker sits down with NY Times Chief Data Scientist (CDS) Chris Wiggins to chat about his new book and dive into what led us to this moment in the data space.
The two discuss:
- The ethics behind using data for social concepts
- Quantifying social data
- Early stages of AI and the creation of data computation
- The history of machine learning
- The internet boom of the 90s
- AI vs. copyright laws
...and so much more!
Episode Links & Resources:Follow Malcolm Hawker on LinkedIn
Follow Chris Wiggins on LinkedIn
Check out Chris Wiggins' new book
By Profisee4.6
99 ratings
As we get carried away with modern data trends and new technical developments, it's easy to forget the rich history behind computable data and analytics dating as far back as World War II in the 1940s. Luckily, we have a data historian to remind us!
Host Malcolm Hawker sits down with NY Times Chief Data Scientist (CDS) Chris Wiggins to chat about his new book and dive into what led us to this moment in the data space.
The two discuss:
- The ethics behind using data for social concepts
- Quantifying social data
- Early stages of AI and the creation of data computation
- The history of machine learning
- The internet boom of the 90s
- AI vs. copyright laws
...and so much more!
Episode Links & Resources:Follow Malcolm Hawker on LinkedIn
Follow Chris Wiggins on LinkedIn
Check out Chris Wiggins' new book

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