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Most AI initiatives fail before launch because key decisions are never made. Learn the four choices required before AI makes decisions for you.
Nick Chase
January 20, 2026

Why Most AI Strategies Break Before They Ever Ship

Most AI initiatives stall not because models underperform, but because organizations fail to decide how AI behavior will be evaluated, governed, corrected, and explained. This article outlines the four foundational decisions every team must make before AI starts making decisions on their behalf, and why skipping them quietly breaks AI strategies long before anything ships.

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Choosing AI tools too early locks in hidden assumptions. Learn why architecture, risk, and governance must come before tools.
Nick Chase
January 13, 2026

AI Tools Come Last. Here’s Why That Matters.

Starting AI projects by picking tools feels like progress, but it often hard-codes architectural decisions before teams understand their risks. This article explains why tools should come last, and how treating them as replaceable implementations leads to more resilient, future-proof AI systems.

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Discover how Agent Event-Driven Architecture is transforming serverless applications. Highlights from TDC São Paulo 2025, including a live AWS demo, cost savings, and insights on the future of intelligent cloud-native systems
Marcos Henrique
October 1, 2025

Bringing Agent Event-Driven Architecture to Life at Developer's Conference

Insights from TDC São Paulo 2025 on Agent Event-Driven Architecture: autonomous agents, event-driven design, AWS demo, resilience, and 73% cost savings over microservices.

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Learn how to manage and reduce AI costs in large language model (LLM) systems. From token caps and orchestration guardrails to cultural shifts and organizational ownership, discover best practices for building cost-efficient AI without sacrificing perform
Nick Chase
October 1, 2025

Building Cost-Aware AI Systems: A Guide for both Technical and Non-technical Decisions

A practical guide for technical and non-technical leaders on building cost-aware AI systems, balancing performance with sustainable spend.

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Discover why modernization isn’t just a tech upgrade — it’s the key to staying competitive. Learn how to achieve velocity, reliability, and cost efficiency with cloud-native strategies.
Nick Chase
October 1, 2025

Modernization Means Staying Competitive

Modernization keeps you competitive. Learn how velocity with guardrails, cloud-native maturity, and cost-aware platforms drive speed, reliability, and ROI.

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Learn how to transform your business into an AI-first enterprise. Explore a step-by-step roadmap covering data readiness, executive fluency, process audits, AI platforms, open source strategy, and scaling AI responsibly.
Nick Chase
September 30, 2025

Building up to an AI-First Enterprise: Charting a Roadmap to Smarter Automation

AI transformation requires more than tools — it needs strategy, leadership, and cultural change. This roadmap breaks down the journey to becoming an AI-first enterprise in six clear stages.

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Discover how AI coding tools reshape the software development life cycle (SDLC). Learn the benefits, risks, and best practices for using AI effectively without creating technical debt.
Nick Chase
September 30, 2025

AI Can’t Build Good Software By Itself. Here's Why, and What You Can Do About It.

AI is changing how we write and maintain code. But without the right guardrails, AI-powered SDLC can become a “$6 haircut.” Learn where AI helps, where it fails, and how to adopt it responsibly.

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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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Discover why small language models deliver faster, cheaper, and more secure AI solutions for business. Learn how right-sizing AI creates efficiency, privacy, and sustainable competitive advantage
Nick Chase
August 27, 2025

Right-Sized AI: When Small Language 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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Up in Time, Down in Cost.
Intermediate
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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.
Beginner
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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.
Intermediate
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Foundations and Strategies for AI Security

Nick Chase
Chief AI Officer
David Fishman
VP Products & Services

Get your data, applications, and infrastructure ready for the AI revolution

Get your data, applications, and infrastructure ready for the AI revolution

Take your DevOps practices to the next level with Cloud Native & Platform Engineering

Take your DevOps practices to the next level with Cloud Native & Platform Engineering