Wavelength Podcast Ep. 212: A Discussion About AI

An assortment of AI experts talk about various machine learning and NLP opportunities and challenges.

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 click on the download button in the player above. 

You can also listen to us on Spotify

This week, Wei-Shen and Tony step aside and turn the podcast over to a panel of AI experts. Last week, executives from Bank of America, Prudential, FactSet, and University College London were on a panel at the inaugural WatersTechnology Innovation Exchange. They talked about a range of topics pertaining to AI and machine learning, including issues around explainability, where banks struggle to implement AI, and the buy-v-build debate.


Laura Hamilton, global head of treasury technology, Bank of America

Michael Natusch, global head of AI, Prudential

Emine Yilmaz, department of computer science, University College London (UCL)

Ruggero Scorcioni, principal machine learning engineer for cognitive computing, FactSet

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;  wei-shen.wong@infopro-digital.com

Anthony Malakian: + 1 646 490 3973; anthony.malakian@infopro-digital.com

Past 10 episodes:

Episode 202: Northern Trust’s Pete Cherecwich, Part 2

Episode 203: Finos’ Columbro on Open Source 

Episode 204: Nasdaq on Cloud Strategy

Episode 205: Just Talkin'

Episode 206: Liquidnet's Simon Maughan

Episode 207: Vaccine Tracking and Other Alt Datasets

Episode 208: The Battle Between Innovation & Practicality

Episode 210: What Was This Episode Even About?

Episode 211: Using Behavioral Analytics

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