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通过 AWS 实现餐饮制造业转型:全球食品安全的数字创新.PDF

上传人: 拾亿 编号:751882 2025-07-29 17页 3.39MB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Transforming F&B Manufacturing through AWSDigital Innovations for Global Food SafetyGo OzawaIndustrial Technology Partnerships Lead Asia Pacific&JapanShaping the future of F&B manufacturing 2025,Amazon Web Services,Inc.or its affili

2、ates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Transforming F&B mfg through AWSDigital Innovations for Global Food SafetyGo OzawaIndustrial Technology Partnerships Lead Asia Pacific&Japan2025 May 2025,Amazon Web Services,Inc.or its affiliates.All rights r

3、eserved.Session SpeakerGo Ozawa(gozawa)Industry Technology Partnerships,Asia Pacific&Japan(Japan Lead)Amazon Web Services Japan,G.K.Seasoned industry veteran with nearly 30 years of experience spanning product planning,product management,and head of strategy at major telecommunications companies and

4、 semiconductor prior to join AWS in 2017Go leads technology partnerships for industrial and manufacturing category,working with a comprehensive technology stack from hardware,software and advanced cloud analytics,helping Asia Pacific and Japan customers accelerate their transformation journeys to be

5、come truly data-driven organizations3 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.1.Transformation happening in Food&Beverage Industry2.Technology Trends at Hannover Messe 20253.AWS and Siemens our strategic collaboration and Hybrid architecture 4.SummarySession Agenda4 2025,A

6、mazon Web Services,Inc.or its affiliates.All rights reserved.Challenges around Food SafetyChallenges on the GroundChallenges across entire Supply ChainSingle Source of TruthImprove worker safety/healthFleet management and compliancePrevention of oversightsTransparency and traceability across multipl

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本文介绍了AWS如何通过数字化创新助力全球食品安全,推动食品饮料制造业的转型。关键点如下: 1. **行业挑战**:食品安全和供应链透明度是行业面临的主要挑战,涉及工人健康、车队管理和合规性等方面。 2. **技术趋势**:AWS与西门子的战略合作,展示了工业AI和数字孪生解决方案,旨在提高生产线效率和质量控制。 3. **AI应用案例**:泰森食品借助AWS将AI开发时间从1年缩短至6周,实现了牛肉分类和鸡块视觉检查的精确度提升。 4. **数据追踪与透明度**:尼希莱物流在冷冻仓库中实现了97%的跟踪成功率,利用区块链在供应链中保持数据透明。 5. **数据整合与分析**:工业数据织物(IDF)连接孤立系统,通过生成式AI将数据转化为企业价值。 6. **SaaS与云服务**:西门子与AWS的合作推动了工业软件SaaS化,包括在AWS上提供PLM、CAE等SaaS解决方案。 核心数据引用: - 泰森食品AI开发时间缩短至6周,仅1次误识别。 - 尼希莱物流在冷冻仓库中实现了97%的跟踪成功率。 - 西门子与AWS的战略合作,通过生成式AI服务缩短开发周期。 总结:文章强调了通过生成式AI和云服务实现工业自动化和数据驱动的组织转型的重要性。
"食品业如何实现AI革新?" "AWS如何助力全球食品安全?" "工业数据化带来哪些业务价值?"
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