LONDON--(BUSINESS WIRE)--With access to huge troves of business-critical data, most businesses already have the data required to make effective data-driven decisions. But to unlock the true potential ...

AI projects often fail due to unstructured data, which highlights the need for effective data management.

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in the midst of a data revolution. The volume of digital data ...

Enterprise AI is only as good as the data that is available to a model. In the past, enterprises largely relied on structured data. With the rapid adoption of generative AI, enterprises are ...

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 Finding ...

- InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment’s XI Platform - ...