Remove Manufacturing Remove Technology Remove 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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5 Reasons Manufacturers Should Move ERP Data to Snowflake to Supercharge Analytics

Snowflake

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

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

Snowflake

Streamlining these processes with advances in technologies like AI could drastically improve how organizations use their document data for better decision-making. Source: [link] The post Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI appeared first on Snowflake.

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The Dawn of the AI-Native Data Stack - Part 1

Data Engineering Weekly

This next phase, the AI-Native Data Stack , will fundamentally alter how we build, maintain, and scale data systems. To understand this evolution, let's draw parallels from a seemingly unrelated field—manufacturing—and its historical transformation. What do they have in common? Tools like cursor.ai

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Manufacturing Data Ingestion into Snowflake

Snowflake

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 also known as the Fourth Industrial Revolution, refers to the emerging trend of technological transformation in manufacturing and related industries. Industry 4.0,

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

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GenAI-Driven Quality Control: Achieving Zero Defects in Manufacturing

RandomTrees

Today’s manufacturing landscape is truly on a whole new level, and getting perfection has never been more intense. It even uses advanced technologies and approaches. It even uses advanced technologies and approaches. To some extent, these practices were effective but usually prolonged, ineffective, and defensive.