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.

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

Enterprises are increasingly relying on unstructured data for regulatory, analytic, and decision-making purposes. Unstructured data will power analytics, machine learning, and business intelligence.

You should never allow data to be created on your network without knowing precisely who is responsible for it. For example, never, ever make a “public” file share that anyone can dump data into.

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 scientists estimate that 80% of the world’s electronic information is “unstructured”, or held as email, documents, video and photographs, or even free text.

Even heavily-curated data sets are often too inconsistent to be meaningfully analysed by AI. Take, for example, the challenge posed by abbreviations and acronyms within the pharmaceutical industry.

Big data is a much-hyped subject. In fact, the term is rather misleading because it seems to relate only to the volume of data, while ignoring its heterogeneous nature. Accordingly, the general ...

Every time data has to be copied or rekeyed, the process slows down the supply chain and increases the risk of introducing errors. The post DDC tackles industry’s unstructured data issue with ...

For example, a self-service Einstein Copilot-powered chatbot for customers could pull relevant details out of unstructured sources to answer questions by using information from audio and articles ...