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2 weeks ago
Wise Practitioner – Predictive Analytics Interview Series: Leslie Barrett at Bloomberg LP

 

By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial

In anticipation of her upcoming conference presentation at Predictive Analytics World for Financial Las Vegas, May 31-June 4, 2020, we asked Leslie Barrett, Senior Software Engineer at
Bloomberg LP, a few questions about their deployment of predictive analytics. Catch a glimpse of her presentation, Supervised Learning for Information Extraction from Financial Filings, and see what’s in store at the PAW Financial conference in Las Vegas.

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: The models that are the topic of this talk will identify sections of documents associated with particualar sub-events in a financial transaction.

Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?

A: Bloomberg delivers predictive analytics in a variety of products to help Legal Professionals and Financial Professionals access the information that drives decision making in their research and analysis.

Q: Can you describe a quantitative result, such as the predictive lift of your model or the ROI of an analytics initiative?

A: The project described in this talk will streamline a manual data gathering process to improve the quality and timeliness of data aggregation.

Q: What surprising discovery or insight have you unearthed in your data?

A: Identifying certain variables in specific sections of text – despite the underlying concepts seeming clear – is surprisingly difficult for both humans and machines.

Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.

A: If your training data is really good, you don’t need as much of it.

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Don’t miss Leslie’ presentation, Supervised Learning for Information Extraction from Financial Filings, at PAW Financial on Tuesday, June 2, 2020 from 3:05 to 3:25 PM. Click here to register for attendance.

By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial

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