Big Data

AI’s Next Frontier Isn’t Generative – It’s Contextual

By Ross Williams | Jun 3, 2025

The next wave of value creation won’t come from pushing more data into more dashboards. It’ll come from systems that make your data understandable to AI, useful to humans, and ...

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Rethinking Agent Identity in the Age of AI

By Dan Jaye | May 27, 2025

AI agents operate based on context windows - temporary, transient memory banks that let them hold a conversation or execute a task. These windows are not durable. Once the window c...

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The AI Data Enablement Challenge for Marketing Organizations

By Daniel Jaye | Feb 28, 2025

Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misa...

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Breaking the Performance Ceiling: Marketing Data Needs its own Infrastructure

By Daniel Jaye | Feb 14, 2025

Marketing data needs its own infrastructure. Aqfer was designed to stress test the core components that define modern marketing data infrastructure.

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The AI Inflection Point: Challenges and Opportunities for Marketing Solution Providers

By Daniel Jaye | Feb 4, 2025

For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...

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Breaking the Cycle of Data Inefficiency

By Daniel Jaye | Jan 30, 2025

For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...

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Enhancing Parquet to Revolutionize Data Formats in the AI Era

By Daniel Jaye | Dec 11, 2024

Parquet, a favorite for analytics workloads, is limited when it comes to AI use cases. Explore Aqfer's approach to enhancing Parquet to meet modern demands.

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The Role of Metadata and Provenance in Data Lake Management

By Daniel Jaye | Dec 5, 2024

As data lakes evolve into lakehouses, their success hinges on effective metadata and provenance tracking.

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Aqfer’s Innovative Approach to Serverless Vector Databases

By Daniel Jaye | Dec 3, 2024

Aqfer has developed a cutting-edge approach to serverless vector databases that is optimizing how marketers harness their data

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Transforming Data Utilization in AI with Retrieval Augmented Generation (RAG)

By Ross Williams | Nov 21, 2024

Retrieval Augmented Generation (RAG) enhances large language models by combining language generation capabilities and real-time information retrieval.

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