Wavelength Podcast Ep. 186: NLP and Transformer Models

Joanna Wright joins the podcast to talk about an innovation that is helping push forward the field of machine learning in the capital markets.

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, Joanna Wright, our London editor, joins Wei-Shen on the podcast to talk about her feature on how transformer models are benefitting the field of natural language processing (NLP). Then, they talk about having fun at the workplace, and how companies can help provide a sense of fulfillment to their staff.

1:00 – Joanna shares why she thinks mobile phones are the worst thing to happen to our society in the past 20 years. 
4:30 – Then, they talk about AI conversational agents (or chatbots) like Google’s Meena, and Mitsuku. 
7.30 – They discuss why Google hasn’t released Meena to the public for now, and the issue of bias encoded within AI models. 
12:00 – What is a transformer model, and how has it helped with the development of the NLP field? 
18:00 – How are data providers like Refinitiv and Bloomberg using transformer models like BERT (Bidirectional Encoder Representations from Transformers)? 
24:30 – What are some limitations that exist when using transformer models? 
28:30 – They talk about an interesting link that Jo came across, and how it would be fun to beat our editor-in-chief Tony in a foam sword fight.
38:30 – Wei-Shen and Jo wrap up by discussing how employers could provide satisfaction and fulfillment to employees in other ways, instead of following a how-to-have-fun-at-work type of list. 
 

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: + 1 646 490 3973; [email protected]


Past 10 episodes:

Episode 176: Data Hungry AI; Women in Data

Episode 177: Data Implications of 5G & IoT

Episode 178: MEMX's CEO & COO

Episode 179: Deepfakes and the Capital Markets

Episode 180: FactSet's Sara Dillon

Episode 181: M&A News; Limitations of AI

Episode 182: Third-Party Resiliency & Regulatory Pressure

Episode 183: Transforming the Workforce

Episode 184: Broadridge’s Mark Schlesinger

Episode 185: Gamer Tech & Data Mining

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