AI & High-Tech Research
Research on AI and emerging technology for the leaders who have to decide.
Practical analysis of AI strategy, governance, security, data and operations. Written to help you adopt what works, govern what matters and avoid expensive mistakes.
Six research areas
Every topic page explains the issue, why it matters, what good practice looks like, common pitfalls and the questions leaders should ask.
AI Strategy & Adoption
Choosing where AI creates value, funding it and preparing your people.
Generative & Agentic AI
Foundation models, copilots, agents and the knowledge systems that ground them.
AI Governance, Risk & Compliance
Regulations, frameworks, risk assessment, vendor AI risk and assurance.
AI Infrastructure & Operations
Compute, MLOps and LLMOps, evaluation, monitoring and cost.
Where leaders are focused now
AI Regulations
Where the EU AI Act and US state AI laws stand, including the 2026 changes to deadlines.
Deepfakes & AI-Enabled Fraud
Why a convincing voice or video should never be enough to move money.
Certifications
Build credible AI governance skills
AI certifications now exist for governance, audit, security, risk, project and engineering roles. Our guides explain what each one covers, who it is for and how to prepare.
Which AI Cert for Which Role
IAPP, ISACA, ISO/IEC 42001, PMI and cloud vendor credentials compared.
Research Reports
Reports, ebooks and guides connected to this topic.
Latest insights
Free articles on AI strategy, governance, security, data and operations.
When Should an Enterprise Self-Host an AI Model? A Break-Even Framework
Compare managed inference, provisioned capacity, and self-hosted AI models using fully loaded cost, utilization, quality, latency, and security.
RAG or Long Context? A Decision Framework for Accuracy, Cost, and Latency
A practical enterprise decision framework for choosing RAG, long context, or a hybrid based on grounded accuracy, maintenance, and total cost.
The Real Cost of an AI Agent: Measure Dollars per Completed Task, Not per Token
A practical framework for measuring the true cost of AI agent work—across tokens, tools, retries, human review, and successful business outcomes.
Start with the decision in front of you.
Pick a research area, read the topic page and use the questions to frame your next conversation with your team, vendors or board.