Achieving deep insight: Written analytics + visual analytics

Financial data analysts are the “glue” that makes self-service visual analytics work. And it’s no surprise—they have the most expertise as they work deep within the data, on a daily basis. Those that know the data best are directly tied to the success of your institution’s data strategy.

Nonetheless, communications of insights and data understanding continues to be a universal challenge in the financial space. Providing analysts with tools to share their unique expertise without limiting them is key to tackling this issue.

View this webinar, and learn how natural language generation (NLG) technology is providing analysts with the power to generate contextual, role-based customization and scale their expertise across the firm. We’ll cover how to best enable analysts and data experts in order that they may focus more time on expanding analysis to other areas of the business in order to identify new risks, opportunities, and increase revenue.

About the speakers


Adam Long

VP of Product Management, Automated Insights

Adam Long manages the product and engineering teams at Automated Insights, including the flagship Wordsmith platform. Wordsmith is the leader in natural language generation software, which automatically turns structured data into written insights. Prior to joining Automated Insights, Adam was the Product Marketing Manager for BlueStripe Software, a venture-backed software company in the IT Operations Management market. Adam also created Hemingway App, an app to make your writing more clear.


John Hegele

Director of Integrations, Automated Insights

John Hegele leads the Integrations Team at Automated Insights. He is responsible for integrating Automated Insights' Wordsmith natural language generation (NLG) platform with tools and products ranging from Business Intelligence software and spreadsheets, to the Amazon Alexa API. John has been at Automated Insights since 2015 and started as a senior member of the Data Science group. Prior to joining Automated Insights, John spent 10 years working in Quantitative Finance at two large investment banks.

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