Listen "Episode 201: Refinitiv Labs on Unstructured Data"
Episode Synopsis
This week Sanjna Parasrampuria, head of Refinitiv Labs in Asia, joins Wei-Shen on the podcast to talk about unstructured data and the new SentiMine product.
1:30 – Wei-Shen and Tony talk about Josephine's breaking story on Deutsche Börse exiting its regulatory reporting businesses.
https://www.waterstechnology.com/regulation/7564716/deutsche-boerse-to-exit-regulatory-reporting-business
6:00 – Sanjna joins Wei-Shen on the podcast and they discuss the work from home environment Sanjna has experienced at Refinitiv in Singapore.
10:00 – Unstructured data can be confusing. Sanjna explains that unstructured data could be categorized as anything that doesn’t fit into a generic excel spreadsheet.
20:00 – Then, Sanjna talks about being in a position to understand positive and negative sentiment behind unstructured data at Refinitiv. She also discusses the financial strain of a data lake.
24:30 – What are the challenges that unstructured data solution providers face when trying to service clients?
30:00 – They talk about how machine Learning techniques can be implemented on unstructured data.
34:30 – Sanjna explains the technology and thinking behind Refinitiv’s product, SentiMine, which is targeted at investment managers and investment bankers.
43:30 – They discuss when SentiMine will be available to a wider audience.
54:30 – Sanjna takes Wei-Shen through the technology supporting SentiMine.
1:30 – Wei-Shen and Tony talk about Josephine's breaking story on Deutsche Börse exiting its regulatory reporting businesses.
https://www.waterstechnology.com/regulation/7564716/deutsche-boerse-to-exit-regulatory-reporting-business
6:00 – Sanjna joins Wei-Shen on the podcast and they discuss the work from home environment Sanjna has experienced at Refinitiv in Singapore.
10:00 – Unstructured data can be confusing. Sanjna explains that unstructured data could be categorized as anything that doesn’t fit into a generic excel spreadsheet.
20:00 – Then, Sanjna talks about being in a position to understand positive and negative sentiment behind unstructured data at Refinitiv. She also discusses the financial strain of a data lake.
24:30 – What are the challenges that unstructured data solution providers face when trying to service clients?
30:00 – They talk about how machine Learning techniques can be implemented on unstructured data.
34:30 – Sanjna explains the technology and thinking behind Refinitiv’s product, SentiMine, which is targeted at investment managers and investment bankers.
43:30 – They discuss when SentiMine will be available to a wider audience.
54:30 – Sanjna takes Wei-Shen through the technology supporting SentiMine.
More episodes of the podcast Waters Wavelength
Episode 344: Hot topics for 2026
13/01/2026
Episode 343: Broadridge’s Jason Birmingham
18/12/2025
Episode 341: Citi’s Pitts and Topa
02/12/2025
Ep. 340: The sad state of journalism
26/11/2025
Episode 338: BBH’s Mike McGovern
11/11/2025
Ep. 337: Interop.io’s Bob Myers
03/11/2025
Ep. 336: Tokenization mania
24/10/2025
Episode 335: Some tech talk...kinda
10/10/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.