Date: On Demand
Time: 30 minutes
Presenter: Patrick Brennan, Solutions Engineer, Appen
So much data in the financial realm is straightforward and clean — think time-stamped stock prices. But financial service companies deal with a lot of messy data too. For example, how do you stay up to date with ever-changing business information? How do businesses stay on top of new purchase transaction details? Augmenting and structuring data — whether to train, test, and tune ML algorithms or to just clean up datasets — can add value to a variety of business processes, from understanding every document to predicting stock performance.
In this webinar, we’ll cover:
- Augmenting data to train and tune customer service chatbots
- Training optical character recognition algorithms for document transcription
- Assessing risk using reason-based sentiment analysis
- Collecting data at scale for database cleanliness
