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6 months 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.


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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