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Field notes on AI, security, and technology strategy.

Practical, no-hype writing across applied AI and data, identity-first cybersecurity, and the executive strategy that ties technology to the bottom line.

Interim CTO: When (and How) to Bring One In
Digital Transformation

Interim CTO: When (and How) to Bring One In

Senior technical leadership at a key inflection — without the full-time cost. When a fractional or interim CTO makes sense for a mid-market firm, and how to engage one well.

4 min read
Starting Your Post-Quantum Cryptography Migration
Cybersecurity

Starting Your Post-Quantum Cryptography Migration

Quantum computers will break today's encryption, and 'harvest now, decrypt later' makes it a 2026 problem — not a 2035 one. A practical first-steps guide to PQC migration.

4 min read
Predictive Analytics for Manufacturing & Logistics
Machine Learning

Predictive Analytics for Manufacturing & Logistics

Manufacturers and logistics operators sit on more operational data than almost anyone — and use less of it. Here's where predictive analytics pays off first in 2026, and how to start.

5 min read
Tech Debt vs. Tech Equity: A CFO-Friendly Framework
Digital Transformation

Tech Debt vs. Tech Equity: A CFO-Friendly Framework

Not all technical debt is bad, and not all new tech is an asset. A plain-English framework for treating your technology estate like a balance sheet — and deciding what to pay down versus invest in.

5 min read
Identity-First Security: An ITDR Primer
Cybersecurity

Identity-First Security: An ITDR Primer

In 2026 the perimeter is identity, and most breaches start with a stolen login — human or machine. A plain-English primer on ITDR and why it now matters to the mid-market.

4 min read
Agentic Workflow Automation, in Practice
Artificial Intelligence

Agentic Workflow Automation, in Practice

Copilots answer; agents act. In 2026, the value is in multi-step workflows that run themselves — safely. Here's how to design agentic automation that reaches production.

4 min read
The FinOps of AI: Proving ROI in 2026
Artificial Intelligence

The FinOps of AI: Proving ROI in 2026

AI budgets are under scrutiny in 2026. Only a minority of firms report significant returns. Here's how to measure, control, and defend the economics of AI.

3 min read
Your Data Is Your AI Ceiling
Data Science

Your Data Is Your AI Ceiling

In 2026, RAG and agents put 100% of the performance burden on your data. Most failures are freshness and consistency — not clever retrieval. Here's how to raise the ceiling.

3 min read
AI Governance Is Now a Board Problem
Artificial Intelligence

AI Governance Is Now a Board Problem

The EU AI Act's high-risk deadline moved to late 2027, but the obligations didn't disappear. A pragmatic 2026 governance playbook for enterprises.

3 min read
Right-Sized AI: The Small-Model Shift
Machine Learning

Right-Sized AI: The Small-Model Shift

In 2026, smaller language models are quietly winning enterprise work — cheaper, faster, private, and good enough. Here's when to reach for small over large.

3 min read
Closing the 2026 AI Production Gap
Digital Transformation

Closing the 2026 AI Production Gap

Most AI pilots never reach production. Here's why the pilot-to-P&L gap is widening in 2026 — and the operating model that actually closes it.

3 min read
The 2026 Executive Guide to Agentic AI
Artificial Intelligence

The 2026 Executive Guide to Agentic AI

Agentic AI moves from chat to action — systems that plan, use tools, and complete multi-step work. Here is what leaders need to know to adopt it safely and profitably in 2026.

5 min read
Cutting Operational Costs by 60% Without Cutting Corners
Digital Transformation

Cutting Operational Costs by 60% Without Cutting Corners

Cost reduction and quality are usually framed as a trade-off. With the right strategy — and the right use of automation and global talent — they don't have to be.

2 min read
From Pilot to Production: The MLOps Checklist That Actually Matters
Machine Learning

From Pilot to Production: The MLOps Checklist That Actually Matters

Most machine-learning projects die in the gap between a promising notebook and a reliable production service. This is the checklist we use to cross it.

2 min read
Grounding Generative AI in Your Own Data: A Practical Guide to RAG
Artificial Intelligence

Grounding Generative AI in Your Own Data: A Practical Guide to RAG

Retrieval-augmented generation is the difference between a chatbot that hallucinates and an assistant your teams actually trust. Here is how we build RAG systems that hold up in production.

2 min read