Webinar

Machine Learning for Finance: Unlock the Value of Your Data

Date: On Demand
Time: 30 minutes
Presenter: Patrick Brennan, Solutions Engineer, Figure Eight

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
Presenter

Alyssa Simpson Rochwerger

VP, Machine Learning, Figure Eight

Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams and is known for enjoying a good challenge.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.
Presenter

Alyssa Simpson Rochwerger

VP, Machine Learning, Figure Eight

Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams and is known for enjoying a good challenge.

Name Last

Job Title

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.

Name Last

Job Title

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent neque elit, blandit nec aliquam tincidunt, tristique id lorem. Aliquam dapibus bibendum mauris. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Vivamus quis eleifend purus. Nunc eget nibh ante. Cras nec nisi vel dolor eleifend aliquam.