Unstructured data is information that does not have any predefined data models or schemata, so it can be difficult for an enterprise to locate and digest. Examples include physicians' notes in EHRs, ...

As AI reshapes business, traditional data storage is no longer enough. Enterprises must adopt lifecycle management to secure, ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Learn ...

The success of pharmaceutical companies in developing drugs for treating and curing medical conditions is largely dependent on the quality and completeness of data they gather from clinical trials and ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

In today’s data-rich landscape, harnessing the untapped potential of unstructured data has become a pressing concern for enterprises thanks to the latent value it holds — and with 90% of data within ...

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 ...

In this podcast, we talk to Pure Storage about the challenges presented to data storage by the huge growth in unstructured data and the need to gain working insight from it. We speak with Amy Fowler, ...

Forbes contributors publish independent expert analyses and insights. Data, Analytics and AI Strategy Advisor and Researcher An analysis of more than 1000 organizations generating measurable value ...