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, ...

From listening to any kind of survey of what people are talking about in AI right now, we know that privacy is important. And that’s an understatement. Time and time again, we hear people talking ...

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 ...

Large companies are drowning in fragmented data: Customer records spread across multiple systems. Inventory and logistics information disconnected across suppliers and geographies. Unstructured data ...

Subramanian says that unstructured data can come in various file types, from documents to images to videos to specific formats within these application-generated data, such as genomics data, IoT data, ...

The concept of data-driven leadership isn’t new. Executives and other business leaders have been advised for many years on how to interpret data and balance intuition and experience with data to make ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Unstructured data, be it raw data from news articles and research reports, or images posted on social media, is growing exponentially. In fact, it is predicted that more than 80% of all new data is ...

Anomalo Inc. today launched a new tool that aims to help enterprises keep check on the unstructured information that’s becoming critical to the success of artificial intelligence systems. The ...

The promise of interoperability remains a distant goal, but newer technologies like AI and natural language processing, combined with older technologies such as optical character recognition (OCR), ...

The conversation around data strategy is shifting. For years, the focus was on accumulation. Now, the emphasis is moving ...

Using big data and current technology is increasingly becoming part of the practice of emergency and disaster management. With respect to marginalized populations, there are flaws in the way ...