Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide database solutions and the storage of unstructured data formats in structured ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

Large enterprises in regulated industries, especially in data-rich financial services and insurance, have invested significantly in data governance programs. Other businesses have been catching up as ...

A Brooklyn-based startup is taking aim at one of the most notorious pain points in the world of artificial intelligence and data analytics: the painstaking process of data preparation. The company's ...

When leaders think about data, structured data—such as payment amounts, invoice processing dates and customer names—likely crosses their minds first. Because structured data is objective, it’s ...

Editor’s Note: Discovery has long centered on documents, but courts are increasingly looking past them. As structured data becomes more central to how organizations operate, it’s becoming harder to ...

If AI models are the engine of business transformation, quality data is their fuel. Rich, well-structured data enables algorithms to identify patterns, predict outcomes and uncover insights that would ...

As marketers, we love a great funnel. It provides clarity on how our strategies are working. We have conversion rates and can track the customer journey from discovery through conversion. But in today ...

The global cross border payments ecosystem is undergoing one of its most significant transformations in decades. With the November 2025 deadline marking the end of the coexistence period for SWIFT MT ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...