Enterprise Architecture

Lightning Round: Security Priorities 2026

This presentation breaks down the five initiatives from the Security Priorities 2026 report to stay resilient in uncertain times.

AI Fatigue 

​Between constant headlines, shifting expectations, and endless new tools, many IT leaders are struggling to navigate AI fatigue, balance competing demands, and make...

Pit Stops, Not Heroics: Technical Debt for Product Leaders​

This presentation uses a motor sports analogy to explain how hidden costs can accumulate when speed and short-term gains are prioritized. The result is technical debt that...

Lightning Round: Infrastructure & Operations Priorities 2026

This presentation explores what I&O must get right to thrive in 2026, based on five key priorities from the Infrastructure & Operations Priorities 2026 report.

Lightning Round: Data Priorities 2026

This presentation explores key data initiatives from our Data Priorities 2026 Report that IT leaders must put front and center as they harness data as a strategic asset.

Build a Better Enterprise Architect Storyboard

A framework that walks EA leaders through a full methodology for defining, assessing, and developing the enterprise architect role.

Enterprise Architect Skills Assessment Tool

An Excel-based template that gives EA leaders a structured way to identify, prioritize, and evaluate current EA skills across individual architects or the broader practice.

​​Build a Better Enterprise Architect​

Not all enterprise architects are created equally. The enterprise architect role is context-sensitive, and what works in one organization may be the wrong posture in...

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Enterprise Architect Role Profile Template

A deck that helps document the enterprise architect's purpose, value, and development plan and makes the case to stakeholders who may not yet see the opportunities...

Boomi: Activate Your Data for Agentic Autonomous Enterprise

Boomi, long known as a tool for connecting business software systems, is shifting its focus to making enterprise data trustworthy enough for AI to use. Most failed AI...

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