Remove Metadata Remove Systems Remove Unstructured Data
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Agents of Change: Navigating 2025 with AI and Data Innovation

Data Engineering Weekly

Investment in an Agent Management System (AMS) is crucial, as it offers a framework for scaling, monitoring, and refining AI agents. AI engineers, in particular, will find their skills in high demand as they navigate managing and optimizing agents to ensure reliability within enterprise systems.

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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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Scale Unstructured Text Analytics with Batch LLM Inference

Snowflake

Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer.

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Bring Order To The Chaos Of Your Unstructured Data Assets With Unstruk

Data Engineering Podcast

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

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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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AI and Data Predictions 2025: Strategies to Realize the Promise of AI

Snowflake

Beyond working with well-structured data in a data warehouse, modern AI systems can use deep learning and natural language processing to work effectively with unstructured and semi-structured data in data lakes and lakehouses.

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Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform

Data Engineering Podcast

In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system. Atlan is the metadata hub for your data ecosystem.

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