Remove Accessible Remove Systems Remove Unstructured Data
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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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Monte Carlo and Snowflake Partner to Provide Observability into Unstructured Data 

Monte Carlo

With their extended partnership, data + AI observability leader and the Data AI Cloud bring reliability to structured and unstructured data pipelines in Snowflake Cortex AI. Table of Contents Ensuring trust in an agentic future Why observability for unstructured data? Why observability for unstructured data?

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

Precisely

(Not to mention the crazy stories about Gen AI making up answers without the data to back it up!) Are we allowed to use all the data, or are there copyright or privacy concerns? These are all big questions about the accessibility, quality, and governance of data being used by AI solutions today.

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Accelerate AI Development with Snowflake

Snowflake

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

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Your Enterprise Data Needs an Agent

Snowflake

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. text, audio) and structured (e.g.,

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

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The Emerging Role of AI Data Engineers - The New Strategic Role for AI-Driven Success

Data Engineering Weekly

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. How does a self-driving car understand a chaotic street scene?