Tech Corner

Long Live MCP – a recap of MCP Dev Summit NY

By Ross Williams | Apr 16, 2026

By Ross Williams, Director of Application Engineering If you've been paying attention to the dev conversation online the last couple of months, you've seen some version of the...

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MCP at One Year: Why Martech and Adtech Leaders Need to Now Pay Attention

By Daniel Jaye | Dec 1, 2025

By Dan Jaye, CTO For years, "AI integration" has lived on roadmaps as a future initiative; something to prepare for eventually. That window is closing. Model Context Protocol...

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When Structured Data Becomes Unruly

By Daniel Jaye | Nov 24, 2025

By Dan Jaye, CTO There’s a common assumption in technical circles: if data starts out structured, then SQL and well-designed schemas should be enough to unlock its value....

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Let’s Go Beyond Tool Wrappers: What MCP Extensions Should Look Like in Adtech and Martech

By Daniel Jaye | Nov 14, 2025

By Dan Jaye, CTO My recent LinkedIn post called out the industry's (so far) tool-only approach to MCP. The response: "Okay, so what SHOULD we be building?" Here's the detailed...

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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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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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Revolutionizing Marketing Data Processing with MicroBatch (µBatch) Technology

By Jeff Storan | Oct 23, 2024

MicroBatch (µBatch) Processing is a game-changing approach to data handling, set to transform how marketers interact with their data streams.

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The Hidden Costs of Spark: Why Penny-Wise Might Be Pound Foolish

By Daniel Jaye | Oct 10, 2024

At first glance, Spark seems like a straightforward, cost-effective solution for data processing at scale. However, as with many things that seem too good to be true, there are hid...

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