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Moving analytics to ClickHouse is scoped as a data project and paid for in the application. What changes in the code, where it breaks, and how to run it as governed changes.
Carter Holmes
October 13, 2026

OLTP to OLAP Is a Database Decision. The Bill Lands in Your Application.

Moving analytics from a transactional database to a column store is a good decision that gets scoped as a data project and paid for as an application project. This is about the second half.

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Build went from weeks to hours and the process did not move. What is measurably shifting in the software lifecycle, what drives it, and what to plan 2027 against.
Carter Holmes
October 13, 2026

By 2027 Your Software Will Run as a Loop. The Open Question Is Who Operates It.

Build went from weeks to hours. The process did not move. This is the argument behind our 8 December session on what the AI-native SDLC becomes in 2027, and who runs it.

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Executives drown in dashboards but still lack a single view of the business. Here’s why fragmented data models drift from the business model—and how knowledge models create clarity, consistency, and trust in enterprise analytics.
David Fishman
September 2, 2025

How Your Business Model Got Lost in Your Data Model – and where to find it

Dashboards don’t align, AI misleads, and ERP models drift from the business itself. Knowledge models restore clarity by encoding shared meaning at the core of analytics.

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Most AI agents are over-engineered for real business needs. Learn how SMBs can save costs and reduce risks by matching automation complexity to actual requirements with human-in-the-loop strategies.
Nick Chase
September 2, 2025

The AI Agent Complexity Trap: A Decision Framework for SMBs

A guide to building AI agents that fit business needs—simple, reliable, and cost-effective instead of over-engineered.

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A step-by-step framework helping business leaders choose the right AI approach—from automation to foundation models—while ensuring governance, compliance, and sustainable business value.
Nick Chase
September 1, 2025

The AI Implementation Spectrum: A Decision Framework for Business Leaders

A practical decision framework to guide AI adoption, align technology with business needs, and build governance for long-term success.

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When do smaller models outperform large ones? Cost, latency, privacy and accuracy trade-offs for small language models in production systems.
Nick Chase
August 27, 2025

Small Language Models: When Smaller Models Beat the Giants

Smaller AI models can outperform industry giants by offering speed, efficiency, privacy, and adaptability for real-world business use.

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CloudGeometry integrates AI agents directly into Slack, cutting friction and boosting productivity with HR, content, and sales enablement automation.
Carter Holmes
August 21, 2025

Why We Put AI Agents Where Our Team Already Lives: CloudGeometry's AI-First Transformation

Discover how CloudGeometry boosts productivity by embedding AI agents directly in Slack, streamlining HR, content, and sales operations.

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Discover how AWS Bedrock Agents help automate AI model documentation at scale. Part 1 of this series explores their role in solving real-world challenges in model openness.
Nick Chase
July 31, 2025

What are AWS Bedrock Agents? Documenting model openness in 3 parts: Part 1, Introduction

Explore how AWS Bedrock Agents help solve the complex challenge of maintaining up-to-date AI model data at scale using open-source tools like Mistral.

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Not all technical debt is created equal. Learn how to distinguish revenue-blocking strategic debt from engineering noise—and prioritize tech investments that actually grow the business.
Nick Chase
July 30, 2025

Strategic Debt vs. Stupid Debt: The Prioritization Framework Your Board Needs

Stop treating all tech debt equally. Learn how to identify and eliminate the technical constraints that are blocking revenue, deals, and innovation.

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AI success isn’t about buying tools — it’s about building long-term capability. Learn why real transformation means owning your AI agent platform, not renting “smart” features from vendors.
Michael Philip
July 28, 2025

AI Business Transformation Isn’t a Leap, It’s a Natural Evolution

Why real AI transformation means evolving your systems — not just adding AI features. Discover why agent platforms are becoming the new enterprise core.

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Which AI agent tool fits your use case? The five agent types from simple reflex to learning agents, what each is for, and how to choose safely.
Nick Chase
July 23, 2025

5 Types of AI Agents Every Business Leader Should Understand

Avoid AI overkill (or underkill). This guide breaks down the 5 AI agent types every business leader should understand—and when to use each one for maximum impact.

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Discover how new AI agent protocols—Model Context Protocol (MCP), Agent2Agent (A2A), and Networked Agents and Decentralized AI (NANDA)—are redefining the future of AI infrastructure. Learn why adopting these standards is critical for scalable, composable,
Nick Chase
June 30, 2025

Building AI Agent Infrastructure: MCP, A2A, NANDA, and the New Web Stack

Explore how MCP, A2A, and NANDA are setting new standards for scalable, composable, and interoperable AI agent infrastructure, ushering in the next era of the intelligent web stack.

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Organizations are investing millions in fast dashboards, yet data science insights are slowing down. Discover why rigid infrastructure constrains discovery and how flexible data platforms can drive true innovation.
Nick Chase
June 27, 2025

Why Your Data Scientist Needs a "Flexible Data Canvas," Not Just an Optimized Dashboard

Faster dashboards don’t mean faster discoveries. Discover why the key to true data science innovation is flexible, discovery-driven infrastructure—not just optimized reporting tools.

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Nick Chase delivers a 1hr Fundemental Crash Course on what you need to know for AI Agents. Stay ahead of the curve and leverage the latest insights.
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AI Agents Business Crash Course

Get a Custom Course for your management team, to get the latest update on the stage of AI in your industry.

This course explores the foundational components required to design and deploy effective AI agents. It walks through the technology stack—from data handling to LLM integration—and highlights real-world use cases and infrastructure considerations in modern AI development.
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AI Agents: From Design to Tech Stack

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Up in Time, Down in Cost.
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Balancing Kubernetes Reliability vs. Cost Optimization in the Real World  

Alex Ulyanov
CTO
Anton Weiss
Chief Evangelist
PerfectScale
Is it true that artificial intelligence can make business intelligence a little bit more... well, intelligent? The challenge: Get system data from one business process to tell you more about your other systems and business processes — using reports and dashboards you already have (even unstructured data). Rewatch experts Rob Giardina of Claritype Founder and Nick Chase of Cloudgeometry in a deep dive unlock the power of LLMs with a Standardized Data Model.
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AI for Better BI with the Data you Already Have

Nick Chase
Chief AI Officer
Rob Giardina
Founder
Claritype
This three-part series introduces the principles of securing AI systems. It covers foundational AI security concepts, provides a strategic overview of secure GenAI system deployment, and addresses future-proofing techniques to ensure safe and resilient AI architectures.
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Foundations and Strategies for AI Security

Nick Chase
Chief AI Officer
David Fishman
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