Wavelength Podcast Ep. 176: Data Hungry AI; Women in Data

Wei-Shen and Anthony discuss firms experimenting with AI and ML, and the creation of industry working groups.

Wei-Shen Wong, Asia Editor, and Anthony Malakian, Editor-in-Chief of WatersTechnology, record a weekly podcast touching on the biggest stories in financial technology.

To hear the full interview, listen in the player above, or you can download it.

This week, Wei-Shen and Tony talk about how firms experiment with AI and ML and how firms should be more specific when they talk about these techniques. Then, they discuss the issue of gender and industry working groups, and what that might mean for the future. 

1:30 – First, they talk about Hamad Ali’s Wells Fargo story.
7:00 – They discuss the need for failure when experimenting with machine learning.
15:30 – What’s the timeframe when it comes to implementation?
16:00 – Then they talk about the EDM Council’s formation of a Women in Data interest group
21:00 – What’s the ROI for these groups?
26:00 – Tony explains how he’s not ready for the next 20 years.
27:30 – They discuss changes the industry need to make when it comes to managerial styles.
33:00 – Wei-Shen wraps up the podcast for 2019 with jolly holiday wishes. (aka, see you all in 2020.) 
 

Contact Info

As is the case with everything we do, we'd love to get some feedback from our listeners.

Wei-Shen Wong: + 852 3411 4758;  [email protected]

Anthony Malakian: + 646 490 3973; [email protected]


Past 10 episodes:

Episode 166: Brian Lichtenberger on Alternative Data

Episode 167: Keith Lubell on Libra, Big Tech & Programming Languages

Episode 168: A Look at the Hemp Market 

Episode 169: Wall Street Rides FAR for Autism Research

Episode 170: A European Consolidated Tape

Episode 171: FactSet's Rich Newman on Open Data

Episode 172: Buy-Side Trading & Automation

Episode 173: Hadoop, Data Warehousing

Episode 174: Previewing Waters USA

Episode 175: Tradeweb's Billy Hult

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