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Top Gen AI Use Cases: How to Turn Unstructured Data into Insights

Snowflake

Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

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Agents of Change: Navigating 2025 with AI and Data Innovation

Data Engineering Weekly

In this post, we delve into predictions for 2025, focusing on the transformative role of AI agents, workforce dynamics, and data platforms. Data engineers, too, face an evolving landscape with a heightened focus on unstructured data. The challenge lies in harnessing this data to drive new insights and efficiencies.

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Top 10 Data Engineering & AI Trends for 2025

Monte Carlo

Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around the corner. Small data is the future of AI (Tomasz) 7. The lines are blurring for analysts and data engineers (Barr) 8. The unstructured data stack will emerge (Barr) 10.

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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

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Data Integrity for AI: What’s Old is New Again

Precisely

Does the LLM capture all the relevant data and context required for it to deliver useful insights? Does the LLM capture all the relevant data and context required for it to deliver useful insights? Not to mention the crazy stories about Gen AI making up answers without the data to back it up!) Can AIs responses be trusted?

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Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI 

Snowflake

It is estimated that between 80% and 90% of the world’s data is unstructured 1 , with text files and documents making up a significant portion. Streamlining these processes with advances in technologies like AI could drastically improve how organizations use their document data for better decision-making.

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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. So data is big and growing. of that data is analysed.