Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
From listening to any kind of survey of what people are talking about in AI right now, we know that privacy is important. And that’s an understatement. Time and time again, we hear people talking ...
Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...
What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...
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‘Increasingly, people want to run machine learning on their data. They want to get intelligence from the data. And if 90 percent of your data is unstructured and you don‘t have a way to search and ...
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 ...
Like many of you, I regularly incorporate AI tools to keep up with marketing and martech trends. They provide me with summaries and extract insights that I either agree or disagree with. While ...
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