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用AI重塑客户和员工体验.pdf

上传人: 表表 编号:614349 2025-02-19 14页 4MB

1、Reimagining Client&Employee Experiences with AIShankar Kalyana,CTO,Stantec2Have you experimented with generative AI tools,such as ChatGPT,Midjourney or others?POLL3R E I M A G I N I N G C L I E N T&E M P L O Y E E E X P E R I E N C E S3The promise of Generative AI is excitingThis house does not exis

2、tEmma SumrowAnna Fixsen via MidjourneyCourtesy Matsys Design4R E I M A G I N I N G C L I E N T&E M P L O Y E E E X P E R I E N C E S4The promise of Generative AI is excitingAll images by Nikita Kalyana,via Midjourneydark spiral bauhaus inspired environmentspastel bauhaus inspired environmentsmod bau

3、haus oskar schlemmer garments minimalism5 5R E I M A G I N I N G C L I E N T&E M P L O Y E E E X P E R I E N C E SOptimizing routes and delivery schedules based on traffic and weather conditionsPredictive maintenance of equipment by analyzing sensor dataDL models,trained on thousands of images,can i

4、dentify minute defects in products with high accuracyGenerate new product designs and features,based on parameters and constraintsBut AI is more than Generative AIArtificial IntelligenceMachine LearningDeep LearningGenerative AIAI can shift us from Sense+Respond to Predict+Preempt6From+AI to AI+(ada

5、pted from IBMs AI Ladder)Collect,Organize,Grow dataAdd AI to applicationsAutomate workflowsReplace,Reimagine workflowsAI performs work/augments humans+AI AI+R E I M A G I N I N G C L I E N T&E M P L O Y E E E X P E R I E N C E SAI can shift us from Sense+Respond to Predict+PreemptEmployee Experience

6、HR/Talent ManagementIT processesSales&MarketingOperationsFinanceAEC USE CASE POSSIBILITIES7Customer ExperienceDesign Automation and OptimizationPersonalized DesignPredictive MaintenanceSite SafetyProject Lifecycle AutomationEnergy Efficiency.R E I M A G I N I N G C L I E N T&E M P L O Y E E E X P E

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本文探讨了生成式人工智能(AI)的应用及其对客户和员工体验的影响。文章指出,生成式AI如ChatGPT和Midjourney等工具的潜力令人兴奋。AI不仅能优化路线和配送时间表,预测设备维护,还能识别产品微小缺陷,生成新的产品设计和特性。AI的应用范围超越了生成式AI,还包括机器学习、深度学习和人工智能。AI可以从“感知+响应”转变为“预测+预防”,并在多个行业领域(如建筑、客户体验等)带来变革。到2028年,AIops市场预计将达到640亿美元,AI和IT领导者中有62%认为AIops对于数字化转型至关重要。文章还提到了视觉编程语言ComfyUI,以及AI生命周期中数据的核心作用。最后,文章提到了AI在行业投资、气候变化、量子计算、数据隐私等方面的最新进展和挑战。
"AI如何重塑客户与员工体验?" "生成式AI工具在设计中的应用前景如何?" "AI在预测和预防方面的潜力有多大?"
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