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.
Beyond the Model: What Enterprise AI Implementation Actually Requires
A model is one component. Six readiness questions turn a promising demo into a service that keeps working in production.
How AI Fits into the Enterprise Technology Stack
Separate the components of an enterprise AI application by responsibility to make architecture and buying decisions clearer.
From Assistance to Action: Understanding AI Agents and Automation
An assistant that drafts an email and a system that sends it do not have the same authority. Define what an agent may decide and do.
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.