为适应变化不断加速的未来，企业要能够快速决策和反应，要有高度的灵活性，并能够有序地应对变化，快速实现资源 的优化配置。《领导高绩效团队》就是要顺应未来的变化，依据员工的不同发展阶段因势利导，从领导艺术的角度来实 现人力资源的最优配置和最大效用。

In order to adapt to the accelerated change in the future, enterprises have a high degree of flexibility and be able to make rapid decisions and responses, be able to respond to changes and quickly realize the optimal allocation of resources. "Leading high-performance team" is to adapt to the future changes, according to the different stages of development of employees, to achieve the optimal allocation and maximum effectiveness of human resources.

• 2020-08-11 | 09:30 - 12:00
• online

This session covers the strategy part of B2B sales from four aspects: market, pricing, targets and coordination

• 2020-08-06 | 14:00 - 17:00
• Online (webinar link will be shared prior to the event)

中国欧盟商会与TUV莱茵学院合作开展质量管理系列培训课程，以下是8月-12月即将开展的课程清单，计划会定期更新，如有其他培训需求，请联系中国欧盟商会活动负责人莫静倩女士。

• 2020-08-03 | 09:00 - 17:00
• Guangzhou, Shenzhen, etc

中国欧盟商会与TUV莱茵学院合作开展质量管理系列培训课程，以下是8月-12月即将开展的课程清单，计划会定期更新，如有其他培训需求，请联系中国欧盟商会活动负责人莫静倩女士。

• 2020-08-03 | 09:00 - 17:00
• Guangzhou, Shenzhen, etc

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

This course will be delivered in Chinese language, 此次培训的语言是中文

This course is intended to help Government Affairs (GA) practitioners to better systematically sort out the professional working system, explore how to deal with crises related to government affairs, prepare adequately and share best practices and cases. Specifically, the program focuses on how to systematically deal with crises/ issues and government on-site inspections through building on basic capacities and effective communication with stakeholders to find the best solution.

本课程旨在帮助政府事务从业者，更好地系统梳理专业的工作体系、探讨如何处理与政府事务相关的危机事件、做好充分的应对准备，并分享相关经验和案例。课程将特别关注于如何在做好自身的基本工作的基础上，系统应对危机事件、处理现场查访，并有效地与利益相关方沟通，寻找解决方案。

• 2020-07-15 | 14:00 - 16:30
• online Zoom

This course will be delivered in Chinese language, 此次培训的语言是中文

Course Objectives 课程目标

There is no doubt that COVID-19 has brought on many challenges and uncertainty, this holds true as business regulations need continuously adapt to constant changes in government policies leaving many wondering how to best navigate this new environment. This course is designed to assist executives to better understand how the Chinese government works, gain an overview of the policy-making process, and analyze the impact of the macro regulatory environment on enterprises operating in China. During this course the trainer will also discuss the trends in policy development and how to build effective communication channels with key stakeholders from the Chinese government in order for businesses to advocate more effectively and to establish a more positive corporate image and achieve a win-win cooperation with the Chinese government.

面临着多变的国际关系和经济形势，特别是新冠肺炎疫情仍在全球不断蔓延的大环境之下，政府部门在经济活动中的角色与作用显得越来越重要，本课程旨在帮助商务人士更好地理解中国政府部门的工作，了解政策制定的流程、分析宏观监管环境对企业的影响，在系统地研究政策发展方向的同时，与重要的利益相关方建立准确的沟通渠道，为企业解决问题提出战略建议，更有效地向政府表达利益诉求、树立积极的企业形象，并获得政府与企业的双赢。

• 2020-07-15 | 09:30 - 12:00
• online Zoom