EPISODE · Jun 25, 2020 · 1H 2M
Episode 201: Refinitiv Labs on Unstructured Data
from Waters Wavelength · host WatersTechnology
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.
What this episode covers
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.
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Episode 201: Refinitiv Labs on Unstructured Data
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