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3057 - 利用 IBM 决策智能将业务决策与业务目标保持一致.pdf

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1、IBM TechXchange 2025 conference 3057-Aligning business decisions to your business objectives with IBM Decision IntelligenceIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeStephane MeryStephane MeryIBM Distinguished EngineerCTO,Decision IntelligenceIBMLenny BrombergLenny BrombergProgram DirectorD

2、ecision Product Management LeadIBM2Notes Here is the abstract for this session IBM Decision Intelligence is the new platform to automate data-based and policy-based operational decisions.Beyond automating the decision,this session will explore how we apply analytics and leverage data gathered from a

3、utomated decisions and from their business effects to reveal insights on how these decisions contribute to business objectives.After identifying improvement opportunities,we will then simulate enhanced decisions and compare the results with the previous situation,fostering a continuous improvement l

4、oop to better align decisions to business objectives.It talks about thing we dont have in the product today.We will have to frame it as“vision”and distinguish what we have in IBM DI and what is visionIBM TechXchange|2025 IBM CorporationWhy Decisions Matter95%of financial performance tracks back to d

5、ecision effectiveness1but decisions are more complex,frequent&data-intensive than ever3and businesses need faster,scalable&compliant decision-making41.9x1.9x1.3x1.3x3x3xlikelier to launch disruptive new products2likelier to meet financial targets2more likely to satisfy customers223%23%greater revenu

6、e growth2Companies with well-defined&effective decision-making areIBM TechXchange|2025 IBM Corporation3SYSTEMS/AGENTSSYSTEMS/AGENTSCHANNELSCHANNELSDECISIONSDECISIONSDATADATAREGULATIONSREGULATIONSThe complexity of modern decision-making More data,more decisions,more channels Regulation and customer e

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根据《IBM TechXchange2025 conference》中的内容,以下是全文关键点的概括: 1. **决策的重要性**:95%的财务绩效与决策有效性相关,但现代决策更加复杂、频繁且数据密集。 2. **决策复杂性**:数据量增加、决策频率提高、渠道增多、法规和客户期望增加。 3. **决策智能**:IBM Decision Intelligence是一个新平台,用于自动化基于数据和政策的运营决策。 4. **决策智能的优势**:提高决策速度、可扩展性和合规性,通过分析决策效果来揭示对业务目标的贡献。 5. **IBM Decision Intelligence**:提供低代码的决策模型构建器和无代码的决策助手,支持简单政策或复杂企业用例。 6. **决策代理**:在基于代理的应用程序中自主执行操作决策。 7. **持续改进**:通过捕获决策结果、评估性能和反馈改进决策逻辑。 8. **市场趋势**:预计到2027年,50%的商业决策将由AI代理进行增强或自动化。 9. **IBM愿景**:通过“混合AI”实现自主决策,结合LLM、ML、规则和优化算法。 10. **案例研究**:IBM帮助组织提高效率、改善客户结果和降低风险。
企业增长新引擎?" "AI赋能,决策自动化未来如何?" "从政策到决策,IBM如何引领变革?"
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