In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

This step involves using OpenAI technology to process the unstructured data and convert it into structured data. Next, you’ll need to provide the model name GPT-3.5 Turbo .

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 ...

Those who seamlessly manage both structured and unstructured data set themselves up to bridge the gap between raw data and insights that meaningfully drive the business forward. The era of 400 ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

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

Structured and unstructured data create similar challenges. Put aside the emergence of generative AI for the moment. The foundational challenges of data management that cut across both structured ...

Breaking the structured data model is one problem. Casale says the bigger problem is that unstructured data shifts the user paradigm. “You need to be agile and flexible enough to gain insights from ...

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 ...

Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they’re looking for.