Matt Fleckenstein, Nintex CMO, discusses how machine learning can extract value from an ocean of unstructured data. By Matt Fleckenstein Published 28 February 2018, 4:33 PM GMT ...

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

Using Machine Learning to Add Structure With most of the technologies businesses use to manage information today, the more data you have, the harder it is to make sense of it all. But with the ...

We look at how to gain structure from unstructured data, via AI/ML analytics to create new records, selecting object data via SQL and storing unstructured files in NoSQL formats.

Enterprises across every industry are increasingly recognizing the power of machine learning. It can turn any organization’s data into valuable insights—insights that have the potential to ...

In this article, we look at structured data, unstructured data, and how semi-structured data brings some order from potential chaos. And brings benefits to organisations that want to gain value ...

The world's biggest PC maker Lenovo is analysing unstructured data from social channels including YouTube and Instagram to help the firm build products with customers' feedback in mind. Mohammed ...

Machine Learning (ML) requires data on which to train and iterate. ... All data, be it structured or unstructured, tends to go through a data labeling process before it is used to train an ML model.

Structured data and machine learning for enhanced data center management. A structured format is key for optimizing your operational data. May 14, 2024 Comment. Data center management often lacks ...

LONDON, May 25, 2023 /PRNewswire/ -- Fimatix, a leading provider of digital transformation solutions, announced today the acquisition of Semantic Evolution, a specialist in the provision of AI and ...