There are already hundreds of manufacturing companies' pain points. Where is yours?

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      Hello CIOs, I have communicated with you about the Xuelang Conference before. After several months of preparation, the framework of the conference has begun to take shape, and I will also make a report with you here.

 

      The conference will be held from June 25th to July 1st at the Wuxi Convention and Exhibition Center, with an exhibition area of ​​10,000 square meters. The conference will last for two days and will consist of a main forum and 30 sub-forums. The planned scale of the conference is 1 10,000 people. ITValue is the main preparatory team member.

 

      There are a lot of conferences now. In order to make a different product, we initially set a few rules:


  •  1. Manufacturing plays the leading role;

  •  2. Share questions and answers, not grades;


      In order to achieve this, the ITValue team spent several months visiting and researching more than 100 manufacturing companies, obtained valuable first-hand survey data, and gained a very intuitive understanding of the specific pain points faced by manufacturing companies. Questions vary, here is a sample of some of the questions we solicited in our research:

  • Data standardization is low, how to do data analysis?

  • How to solve the problem of difficult standardization and integration caused by device diversity

  • How to integrate information systems? How to keep data online?

  • How to analyze and utilize data in the face of massive information?

  • How to realize data connection between physical equipment and information equipment

  • Can IoT really connect and control production equipment?

  • Can the maintenance of remote equipment only be solved by telephone, network and resident engineers?

  • How to protect data security after enterprises migrate to the cloud?

  • Under the condition of semi-mature intelligent equipment, how can enterprises embrace intelligent manufacturing?

  • How to integrate multiple systems that can only be achieved by front-end intelligence in the industry?

  • Is there an appropriate intelligent manufacturing management model for discrete and complex enterprises?

  • What technologies can replace manpower for remote control and maintenance of overseas equipment?

  • How can artificial intelligence improve the fabric production process?

  • How to use and summarize the data after completing the data collection with the MES system?

  • How to reduce the offline programming of the robot from 5 mm to 2 mm?

  • How to realize segmented fast programming to reduce the time of workpiece machining programming

 

      The Xuelang Conference hopes to provide a place where manufacturing can ask questions and technology companies can find scenarios for technology applications.

 

      雪浪小镇的方向,就是成为落实科技与产业对接的平台,他们为此专门成立一家工业互联网创新平台公司,并且说服阿里云工业大脑的总经理九卿加盟负责这件事情。

 

      我们深切感受到,科技与产业的鸿沟越来越大,同时产业对于科技的需求也变得越来越迫切。

 

      我觉得大家可以结合自己的需求,从这几个方向想一想,如何利用这个大会和雪浪小镇的平台做些事情,达到共赢:


  • 1. 担任创新平台的专家,用自己多年的经验帮助制造企业解决实际问题,收获声望和价值;

  • 2. 对接落地场景,为自己企业或者相关资源的科技能力找到用武之地;

  • 3. 提交自己的问题,寻求最广泛的可能性答案;

  • 4. 担任演讲嘉宾,分享自己的经验和思考;

  • 5. 推荐优秀案例,展示自己企业或者相关企业的品牌;

  • 6. 推荐优秀科技公司,让好的创业公司找到更好的机会。

 

      目前,我们还在进行线上问卷调研过程中,如果您在企业数字化转型过程中也遇到一些类似或者完全不同的具体痛点问题,也可以通过填写问卷来告诉我们。

 

      问卷地址:请点击【阅读原文】或直接扫描二维码:


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      问卷中的每个问题都将关系到分析的准确性,并且每个选择都会延伸出不同的问题,您认真填写的过程中也是一次对于企业数字化转型的痛点的自我诊断。

 

      您在问卷中所提交的问题将会与我们面访企业的问题一起出现在《2018年中国制造业痛点分析报告》中,为全球优质科技创业公司所了解,最大程度增加问题解决的可能性。

 

      同时,您也可以免费获得《2018年中国制造业痛点分析报告》一份,对标同行业,大开脑洞,发现一些全新的问题和解决方案。

 





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