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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Here we mostly focus on structured vs unstructured data.

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Unstructured Data: The Must-Have For Analytics In 2022

KDnuggets

Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

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Look Out: Computer Vision in AI is Coming Into Sight

David Menninger's Analyst Perspectives

Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously , unstructured data is really a misnomer.

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The Role of Enterprise Knowledge Graphs in LLMs

Analytics Vidhya

They can understand and generate human language and produce content like text, imagery, audio, and synthetic data, making them highly versatile in various applications.

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SAP unveils tools to help enterprises build their own gen AI apps

CIO Business Intelligence

The news came at SAP TechEd, its annual conference for developers and enterprise architects, this year held in Bangalore, the unofficial capital of India’s software development industry. There’s a common theme to many of SAP’s announcements: enabling enterprise access to business-friendly generative AI technologies. “We

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Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! First, enterprise information architects should consider general purpose text analytics platforms. Luckily there are mature technologies out there that can help.