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Advanced analytics made easy with NLG

As financial institutions collect more data, the complexity of visualizations also increases. As a result, there is always risk for misinterpretation. And to make things more difficult, many people often have their own assumptions about the data and at times overlook key insights across multiple visualizations.

Financial organizations must keep these challenges in mind when developing their data strategy. How does one communicate advanced analysis while simultaneously ensuring that the stakeholder can understand the provided insights?

In this webinar, we’ll cover how Automated Insights’ NLG platform, Wordsmith, can help solve these challenges. Learn how integrating written analytics with Tableau visual analytics can be a seamless process as well as how best to enable analysts to easily generate augmented analytics using natural language generation. Empower your analysts to share their advanced findings across the firm so that others may make better decisions and faster decisions.

Om talarna

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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.

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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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