Data Tech

Crystal Ball Gazing: Why I’m Betting on MCP

By Daniel Jaye | Jun 16, 2025

The diversity of MCP implementations - from enterprise giants like Spring AI MCP to creative innovators like Figma MCP - reflects the protocol's versatility. As AI adoption skyrock...

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The MadTech MCP Stack: Building Industry-Specific AI Standards

By Daniel Jaye | Jun 13, 2025

Imagine browsing a marketplace where you can discover, evaluate, and deploy marketing AI components like app store applications. A/B test different attribution models. Swap persona...

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From Prototype to Production: Simulating AI Solutions with AI

By Daniel Jaye | Jun 12, 2025

How do you test complex, interconnected AI systems before they go live? I've been experimenting with something that initially sounded absurd but has become indispensable: using AI ...

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The Architecture Revolution: Building Chainable AI Systems

By Daniel Jaye | Jun 11, 2025

I had a realization last month: I was spending more time thinking about orchestration than implementation. That's when it struck me - we're experiencing the same architectural tran...

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Sampling, Elicitation, and Completions: The New Vocabulary of AI Orchestration

By Daniel Jaye | Jun 10, 2025

The organizations that master these new approaches via a new vocabulary - sampling, elicitation and completions - will architect the systems that define the next generation of AI-p...

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MCP as the Open API Standard for the AI Era

By Daniel Jaye | Jun 9, 2025

I've been thinking a lot about Model Context Protocol (MCP) for months now, and I keep returning to one thought: MCP is to generative AI what Open API and Swagger were to the moder...

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How to Build a Custom Analytics Solution

By Wes Marsh | Oct 8, 2024

Your custom solution should be able to analyze all inputs to create compelling data visualization and drive decision-making. Explore key components and capabilities of a custom ana...

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Data Processing at Scale: Why Reliability Matters More Than You Think

By Daniel Jaye | Oct 7, 2024

The need for scalable, reliable data processing systems has never been greater. Many organizations turn to Apache Spark for its ability to process large datasets in a distributed f...

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Revolutionizing Data Storage: A New Approach to Row and Columnar Architecture

By Daniel Jaye | Sep 25, 2024

Learn about Aqfer's Row-Comunar Model for data storage. This hybrid approach enables efficient compression of data to cut costs, while still allowing for lightning-fast data retri...

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The True Costs of Technical Debt (and How to Avoid it)

By Claire Glisson | Mar 15, 2023

The term “technical debt” is used to describe the cost of making technical decisions with a short-term mindset. While short-term solutions provide temporary fixes that allow pr...

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