Artificial Intelligence Membership

Turn AI disruption into competitive advantage
Your face complex AI challenges every day. This membership gives you the research, benchmarks, and expert support you need to make more confident decisions
11 5 2025 Artificial Intelligence Insights Membership
Overview of the membership
Everest Group understands artificial intelligence. We provide research, strategy guidance, and best practices across the AI value chain, from consulting and building to operationalizing and governing AI. Members gain access to published resources to guide strategic thinking, analyst support through inquiries and contextualized insights, and executive connections to address fast-evolving AI markets, technologies, and risks. 

 

  • Who it's for

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    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 
  • What you get

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    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 
  • Outcomes members achieve

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    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

  • 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. 

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