Artificial Intelligence Membership
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Who it's for
Who it's for
- Technology and business leaders driving AI adoption
- Service providers delivering AI solutions
- Investors and stakeholders in enterprise AI platforms and ecosystems
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What you get
What you get
- Ongoing research briefings and timely updates on AI trends
- Benchmarks, playbooks, and vendor comparisons for AI decisions
- Analyst support to provide context and guidance on strategy
- Executive connections to exchange insights on critical AI priorities
- PEAK Matrix® debriefs and State of the Market reports
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Outcomes members achieve
Outcomes members achieve
- Confidently evaluate AI models, platforms, and service partners
- Accelerate adoption of generative AI, agentic AI, and applied AI use cases
- Build and operationalize responsible AI practices
- Strengthening governance, compliance, and ethical frameworks
- Capture value from innovation while managing risk
Areas of coverage
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Consult AI
Vision and strategy for AI initiatives, maturity and readiness assessment, ROI road-mapping, business case development, partner and tool selection, explainability, bias detection, sustainability, and responsible AI. -
Build AI
Data preparation, feature engineering, pre-built model integration, custom model and agent development, and testing and validation. -
Operationalize AI
MLOps, LLMOps, and AgentOps, deployment and orchestration, monitoring and drift analysis, accelerators, applications, and pre-built agents. -
Govern AI
Responsible AI strategy, compliance and auditing, sustainability, traceability, data governance, and AI for good. -
Key AI themes
Generative AI, agentic AI, applied and industrial AI, enterprise AI platforms, AI governance, sovereign AI, AI search, and convergence of large language models (LLMs), small language models (SLMs), and world models.