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衡量真正重要的事:将人工智能洞察转化为服务成果 [THR3242].pdf

上传人: Fl****zo 编号:971281 2025-11-08 21页 1.57MB

1、 Measuring What Matters:Turning AI Insights into Service OutcomesTHR3242The following is intended to outline our general product direction.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,a

2、nd should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Safe harbor statement2Copyright 2025,Oracle and/or its affiliates

3、|Copyright 2025,Oracle and/or its affiliates3Seth SingerSenior Product Manager,Oracle ServiceVimal ChopraSenior Director of Product Management,Oracle Service4Copyright 2025,Oracle and/or its affiliatesService teams have measured the same KPIs for yearsOperational EfficiencyAverage Handle TimeFirst C

4、ontact ResolutionService Rep ProductivitySRs resolved per agentCost per transactionCustomer ExperienceCSATNPSQuality AssuranceError rateAudit adherenceCopyright 2025,Oracle and/or its affiliates5As AI in enterprise operations matures,effective measurement is mission criticalThe value of AI measureme

5、ntValidate investmentVerify alignment with business goalsContinually optimize service processesCopyright 2025,Oracle and/or its affiliates6The cost of inactionAs AI in enterprise operations matures,effective measurement is mission criticalUnrealized opportunities for operational efficiencyCustomer d

6、issatisfactionCompetitive disadvantageThe AI measurement maturity curveCopyright 2025,Oracle and/or its affiliates 7UsageUnderstand where and how often AI features are usedEffectivenessDetermine how well an AI feature achieves its intended functionImpactValidate that AI features are providing value

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根据《Measuring What Matters: Turning AI Insights into Service Outcomes》的内容,以下是全文关键点的概括: 1. **AI测量的重要性**:随着企业中AI的成熟,有效的测量变得至关重要,以验证投资、确保与业务目标一致,并持续优化服务流程。 2. **AI测量成熟度曲线**:包括使用、有效性和影响三个阶段,用于跟踪AI功能的采用、效果和价值。 3. **测量类型**: - 使用:了解AI功能的使用频率和地点。 - 有效性:评估AI功能实现预期功能的效果。 - 影响:验证AI功能是否提供价值。 4. **测量序列**:从回顾性(“发生了什么?”)到预测性(“接下来可能发生什么?”)再到规范性(“如果我们调整,会发生什么?”)。 5. **AI测量矩阵**:包括AI的采用和使用的预测、AI提案的接受率、KPI改进和成本节约的预测等。 6. **AI测量和数据分析**:通过洞察生成助手即时发现异常,使用清晰的流程可视化追踪瓶颈和减速,识别根本原因并高效应用批量修复。 7. **服务会议和演示**:提供多个关于AI在服务中的应用和优化的会议和演示。
"AI测量成熟度曲线揭秘" "AI如何提升服务效率?" 企业转型的关键指标!"
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