From improving compliance to reducing manual workloads, today’s AI tools are helping financial institutions transform ...

Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

Unstructured data can be machine-generated as well, with examples including: IoT data: As the number of smart, internet-connected devices grows, so does the amount of data they create and collect.

Rather than bar charts and spreadsheets, they will be analyzing documents, images, audio, video, sensor data, social media posts, text and chat data, and more—spread across the enterprise.

Unstructured data is the digital equivalent of dark matter in the universe; it's everywhere, influencing and shaping voter opinions and behaviors in ways traditional polling and campaigning can't ...

The other 80% generally tends to be unstructured data, including call transcripts, text and PDF documents, emails, messages, order forms, audio and image files, and the like.

Data is everywhere. From the Zoom calls you're on, to the emails you send, the documents you work on, and the legal system you interact with, unstructured data is inherent in everything law firms ...

In a lively and insight-packed session at the "How To Take Unstructured Data from Chaos to Clarity" Summit today, data expert Karen Lopez outlined a 7-step roadmap to help IT pros wrangle unstructured ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock ...

For example, say you’re comparing reviews from “App A,” “App B,” and “App C” from both the Apple App Store and the Google Play Store. The review data will be 6 files: one for each app from each source ...

Komprise’s 2022 State of Unstructured Data Management Report reveals that global data volumes will reach 97 zettabytes in 2022, more than double the total data production before 2020.