... pilots to measurable ROI. Determine your organization’s AI maturity Take the guided AI maturity assessment questionnaire to gauge your current capabilities in seven core AI pillars. This provides a starting point for your AI roadmap. Prioritize your AI initiatives Identify the gaps and opportunities between ...
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... affects model accuracy, relevance and inference costs •How to monitor and govern GenAI consumption as adoption scales across the enterprise Generative AI has rapidly become a cornerstone of the modern digital workplace, empowering employees by democratizing access to knowledge, lowering skill barriers ...
... •How customer adoption of AI is likely to influence CRM processes and technology over the next three years •What the next generation of AI‑infused CRM platforms may look like •How AI is reshaping customer growth strategies and competitive dynamics •How to build a three‑year CRM roadmap to drive high‑ ...
... unique risks associated with AI agents in production •How to establish reusable governance practices that can be embedded into engineering and operational workflows •Implement a scalable framework for maintaining accountability, oversight, and control as AI adoption grows As AI agents move beyond experimentation ...
... the impact of AI on customer service journeys and customers' use of and preferences related to GenAI. Gartner experts share data-driven insights to help leaders better understand customer behaviors, trust factors and adoption preferences. Learn how these insights can inform more effective AI deployments ...
... AI 提效只是第一步，如何让效率提升真正转化为业务成果，是企业实现 AI 价值落地的关键。本次研讨会将分享一套实用框架，探讨企业如何通过流程重塑、团队结构调整以及优化采购与供应商决策，将 AI 带来的效率提升转化为可衡量的业务价值。参会者将通过实际案例，了解 AI 价值落地的关键环节和优先事项，并获得切实可行的行动建议，帮助企业持续释放 AI 带来的业务价值。 •解析 AI 提效为何难以直接转化为可衡量的业务价值 •探讨如何通过流程重塑、团队结构调整及采购决策释放 AI 价值 •分享一套用于确定优先级、衡量并持续释放 AI 业务价值的实用框架 返回此页面收看本场研讨会，如您在注册和观看中有任何问题请联系 ...
... announcement. As the line between AI assistants and AI agents begins to disappear, organizations must establish governance models that account for both AI outputs and AI actions. Traditional approaches focused on prompts and responses may no longer be sufficient when AI systems can take actions, make decisions ...
... •How to build reliable AI agents out of unreliable parts •Understand why AI agent autonomy must be earned through demonstrated reliability •Determine what "reliable enough" means based on an agent's scope, usage and risk context •Apply practical approaches to improve reliability through design, oversight ...