Several factors, like consistency, accuracy, and validity, contribute to data quality. When left unchecked, businesses that utilize inconsistent, inaccurate, or invalidated data can lead to poor ...

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 Finding ...

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Enterprise AI is only as good as the data that is available to a model. In the past, enterprises largely relied on structured data. With the rapid adoption of generative AI, enterprises are ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

VANCOUVER, BC, Feb. 25, 2025 /PRNewswire/ -- AI users in healthcare see significant opportunities in using unstructured data for innovation and predictive modeling, but less than half are fully ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Artificial intelligence startup Kolena Inc. is moving beyond AI model testing and quality control with the launch of its new flagship platform, Restructured. The company says its goal is to help ...

Ataccama ONE and Precisely Trillium are two data quality tools that promise to streamline the data cleaning process. Decide which one is right for you. Image: NicoElNino/Adobe Stock Ataccama ONE and ...

Following the explosion of generative AI (GenAI), 2023 was all about experimentation. Enterprises explored the possibilities of innovative technologies like ChatGPT, Bard and others. However, as we ...

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