Peter Millington is an avid participant in fintech and the application of cutting-edge technologies to the financial industry. Pete has spent over 25 years working in quantitative finance and founded Scientific Financial Systems in 2016 to advance the state of the art of data
science, big data, and machine learning in asset management.
During the show we discuss:
● Advantages and disadvantages of integrating machine learning in finance
● How to know who to listen to when it comes to machine learning
● Relationship between artificial intelligence and finance
● Role machine learning will play in finance in the future
● Distinction between finance and financial engineering
● Social media in promotion of machine learning
● What role machine learning play in finance
● The best machine learning available today
● Machine learning in financial engineering
● Machine learning benefits to finance
● How to know the data that’s useful
● What financial engineering entail
● Machine learning in banks
● Financial engineering
Show resources:
https://www.scifinsys.com/