Purchasing cost analysis, and cost management are most important tasks of purchasing people. How to achieve transparent purchasing cost? How to get reasonable price to achieve a win-win situation with the suppliers, without directly bargaining and damaging the relationship with suppliers? Through this course, we will address these problems. This course, which is designed for purchasing engineers, supervisors, managers etc.will help trainees systematically understand the purchasing cost analysis and the use of relevant tools, so as to realize transparent purchasing cost and achieve the target of purchasing cost reduction. Combined with case studies and practices, trainees will not only learn the theories, but also know how to apply the tools to tackle the real problems they have met or will do.

• 2020-09-11 | 09:00 - 17:00
• Innosapace Nanjing

每个企业都有自己的KPI指标，希望自己的生产运营达到更好的质量、更好的交期以及更低的成本。但是在现实的运营过程中，总是会遇到不同的挑战，客户的需求波动越来越大，每个产品的型号变化也越来越多，传统的产线就很难满足客户当前的需求等，于是，大部分的企业就会考虑以精益的方式来设计新产线或者优化传统产线，在这个过程中，很多精益的原则就需要导入到产线设计中，但是在实际的执行过程中，由于缺乏系统的方法论以及实际的指导方针，导致执行结果参差不齐。

• 2020-08-20 | 09:00 - 17:00
• GAMI全球先进制造研究所

As one method in the wide field of Artificial Intelligence, Machine Learning is a data analytics technique based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Growing volumes of available data as well as cheaper and more powerful computational processing allow a deeper understanding of manufacturing processes, which can lead for example to an earlier identification of risks or a better fulfillment of customer demands. Through the application of Machine Learning, it will be possible to gain even bigger insights to the captured data, since it enables a generation of models that can analyze bigger, more complex data and deliver faster, more accurate results. Today, Machine Learning applications can be found in various areas: From financial services for credit scoring and algorithmic trading over biology for tumor detection or drug testing to manufacturing industry for predictive maintenance through image and pattern recognition.
In order to learn more about Machine Learning to get familiar with a methodology how to implement Machine Learning projects and to get insights from case studies in industry, the European Chamber Nanjing chapter co-organized with GAMI to hold a 1.5 days training together with their partners wbk, amtc and Solomon on July 21 and July 23, 2020. This will include an online and an onsite session, to share with you knowledge and know-how on Machine Learning.

• 2020-07-23 | 09:15 - 17:00
• KIT China Branch, SUZHOU

Affected by the epidemic, economies around the world have been hard hit, forcing many companies to face difficult HR challenges. In these uncertain times, companies must efficiently allocate their human resources by adjusting their internal organization structure and salary structure in order to guarantee long term sustainable development. However, the tasks involved in these adjustments, such as downsizing and salary reduction, are not your common everyday tasks done by your HR team. Many companies lack experience dealing with these types of matters and can open themselves up to legal risks if not handled properly.

受新冠病毒的影响，全球各地的经济都遭受了沉重打击。许多企业都面临着人力资源方面的挑战。在这些不确定的时期，企业必须通过调整内部组织结构和薪资结构来有效地分配以及解决当下所面临的困难和挑战，以确保企业的长期可持续发展。然而，企业所面临或涉及的的挑战以及需要作出的调整计划，仅靠企业本身的人力资源团队无法支撑以及满足其所需。许多企业缺乏处理此类事件的经验，如若企业处理不当，或将会面临法律风险。

• 2020-07-23 | 14:30 - 16:30
• Huaihai Human Resources Service Industry Park

As one method in the wide field of Artificial Intelligence, Machine Learning is a data analytics technique based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Growing volumes of available data as well as cheaper and more powerful computational processing allow a deeper understanding of manufacturing processes, which can lead for example to an earlier identification of risks or a better fulfillment of customer demands. Through the application of Machine Learning, it will be possible to gain even bigger insights to the captured data, since it enables a generation of models that can analyze bigger, more complex data and deliver faster, more accurate results. Today, Machine Learning applications can be found in various areas: From financial services for credit scoring and algorithmic trading over biology for tumor detection or drug testing to manufacturing industry for predictive maintenance through image and pattern recognition.
In order to learn more about Machine Learning to get familiar with a methodology how to implement Machine Learning projects and to get insights from case studies in industry, the European Chamber Nanjing chapter co-organized with GAMI to hold a 1.5 days training together with their partners wbk, amtc and Solomon on July 21 and July 23, 2020. This will include an online and an onsite session, to share with you knowledge and know-how on Machine Learning.

• 2020-07-21 | 13:30 - 17:30
• Zoom online

移动互联网发展至今，人们获取产品信息和购买的渠道越来越丰富，行业之间的竞争越来越激烈，新媒体已经成为企业营销的主阵地。但是很多企业对新媒体的认识很不足，虽然而布局了新媒体渠道渠道但学是传统的营销思维在运营。本课程将从新媒体运营的本质说起，引导学员如何根据“社交化、本地化、移动化、个性化”消费行为特征，通过用户运营、产品分析和活动策划，持续输出引发受众兴趣的内容，并通过创意内容营销企业的产品和服务、扩大品牌的影响力。

• 2020-07-16 | 09:15 - 16:45
• European Chamber Nanjing Office

The European Chamber has received a first draft of the Product Quality Law. Although this draft is not publicly available for comments, the European Chamber would like to invite you to a closed-door session where the Chamber will share this first draft and members will have the opportunity to provide initial comments on it.

• 2020-07-10 | 09:30 - 11:30
• Zoom

The European Chamber is delighted to invite you to a joint working group meeting on the updates of the Classified Cyber-security Protection Scheme (CCPS) and other related cyber-security laws and regulations with Mr. Wang Xinjie, CEO if Power Times and Member of the SAC/TC260, and Mr. He Ruijun, Managing editor of Joint Publishing Centre between PT Press/Taylor & Francis Group.

• 2020-06-16 - 2020-06-16 | 14:00 - 15:35
• Online - Zoom (Link to be sent upon confirmation)

For a long time, the field of technical standardisation was confined to a reduced circle of experts and received little widespread coverage. However, with the increasing polarisation of the world, the strategic dimension of standards-setting has acquired new relevance. The European Union Chamber of Commerce, in cooperation with the US-China Business Council (USCBC), is pleased to invite you to our next Working Group meeting, where two experts will discuss both the geopolitical aspects of Chinese standardisation and the perspective and experiences of US businesses when it comes to China’s standards-setting system.

• 2020-06-12 | 14:30 - 16:00
• Zoom Meeting

The European Union Chamber of Commerce in China, in cooperation with Roland Berger, will release its European Business in China Business Confidence Survey 2020 on 10th June.

• 2020-06-10 | 10:30 - 12:00
• Zoom Online