By: Eric Siegel, Founder, Predictive Analytics World for Business

In anticipation of her upcoming conference presentation at Predictive Analytics World for Business Las Vegas, June 16-20, 2019, 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, Machine Learning Evaluation from Start to Finish, and see what’s in store at the PAW Business conference in Las Vegas.

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

A: Our models have a range of different goals from predicting the classes of documents to the identity of named entities.

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

A: Predictive analytics are essential to providing top quality content to our users including enhancing navigation of data and uncovering important insights from documents.

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

A: Our entity resolution models perform considerably above published state-of-the-art. We achieve results though a combination of data management, model optimization and rigorous evaluation standards.

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

A: The importance of communicating technical model quality and translating into customer experience quality.

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

A: There are different standards for model quality depending on the development stage.


Don’t miss Leslie’s presentation, Machine Learning Evaluation from Start to Finish, at PAW Business on Tuesday, June 18, 2019 from 5:10 to 5:30 PM. Click here to register for attendance.