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Streamly Snapshot: Leveraging AI, Insights, and Data in Financial Services

Streamly Snapshot: Leveraging AI, Insights, and Data in Financial Services

One of the most popular use cases for AI in financial services is to leverage the technology to help companies deal with the challenge and opportunity of unstructured data.

In our latest Streamly interview from FinovateFall last month, Finovate VP and host Greg Palmer sits down with Perry Rotella, Managing Director of Financial Services at Box, to discuss the growth of unstructured data within financial institutions, the challenges these firms face in managing this data, and the role AI can play in helping them analyze unstructured data to enhance everything from personalization to compliance.

“Unstructured data really represents the vast majority of data in organizations. IDC did a study last year that found that 90% of an organization’s data is unstructured. And it’s been really challenging to extract insights out of that data at scale. What we’ve been finding working with customers is we can supercharge pulling insights out of that content, driving workflows for downstream processing, and really look across many documents to summarize and personalize communications with clients.”

The “Intelligent Content Cloud” company, Box offers a single platform that enables organizations to drive collaboration, manage the content lifecycle, secure critical content, and transform business workflows using enterprise AI. Founded in 2005 and headquartered in Redwood City, California, Box includes AstraZeneca, Morgan Stanley, and Nationwide among its customers.

In his role as Managing Director, Financial Services, Rotella provides leadership across product, marketing, business development, sales, and customer success teams. He is responsible for driving engagement with key strategic accounts, as well as customer satisfaction and retention.


Photo by Kevin Ku