标签归档 2021上海水磨实体店

How to digitalize the supply chain and meet the market demand?

Dr. Hendrik Witt, Chief Product Officer of TeamViewer

Affected by the epidemic situation and geopolitical challenges, all walks of life have set off an upsurge of digital development, and the manufacturing industry is no exception. According to PricewaterhouseCoopers (PwC), British manufacturers are facing the worst shortage of workers since 1989, and efficiency has become more important to the current manufacturing industry than ever before. In order to meet the supply demand, digital transformation has become the top priority of British manufacturers. However, the opportunity of supply chain digitalization has just sprouted.

Face the supply chain problem directly

Although labor shortage has had many impacts on manufacturers, there is still a lot of work to be done to solve this problem. Manufacturers must first know something about digitalization and understand the potential it can bring to the industry. In 2021, the research committee of German Business Daily and TeamViewer found that only 33% of logistics companies in Europe have formulated digital transformation strategies. Even more surprising, according to TeamViewer’s research data this year, only 45% of manufacturing and logistics workers think that their industry will be closely linked with digital communication technology and collaboration software.

Enterprises need to make digital investment in the whole supply chain to make it more flexible and flexible to cope with the dynamic and changing global economy. Front-line workers should get the support of digital technology and complete the corresponding work to meet the supply demand. If the right solutions are not deployed, enterprises are likely to fall behind because they fail to give full play to their digital potential. What else can we do to realize the digitalization of the front line?

Smart glasses, smart work

Workers in manufacturing and logistics industries can wear smart glasses to improve their daily work performance in the workshop. The working principle of smart glasses is to use augmented reality (AR) technology to directly project instructions into workers’ vision, just like heads-up displays in cars, to assist front-line workers to work efficiently and safely. Smart glasses can also automatically record work steps, free workers’ hands and improve their ability and productivity.

In addition, smart glasses can also be applied to the food industry, through artificial intelligence technology, using image recognition to verify the quality of goods. In this process, the software running on the smart glasses will compare the actual state and the target state of the products produced, so as to improve the accuracy of workers and optimize the product quality of customers.

Another important application of smart glasses in the food industry is to support the maintenance of health and safety standards. The glasses can check whether employees are wearing mandatory sanitary gloves and help improve the safety of food and workplace.

Smart glasses can improve the work performance of front-line workers, improve their ability, efficiency and work accuracy to meet the supply chain needs of enterprises.

Deploy artificial intelligence

The purpose of deploying artificial intelligence for front-line workers is to improve the daily working life and routine working procedures of workers in manufacturing and logistics industries. By deploying artificial intelligence in the workshop, the working accuracy and efficiency of the workers in manufacturing and logistics industries will be improved.

There are many advantages to deploying artificial intelligence, such as automation and quality control. Artificial intelligence can automatically alert workers to problems in the workplace, such as the whereabouts of goods in the warehouse. It can also check and confirm the working steps, thus optimizing the quality control in the process and greatly improving the working accuracy.

Therefore, deploying artificial intelligence in the front line can not only improve business efficiency, but also improve employee satisfaction and maintain health and safety standards. All these are important factors to retain employees, and this is the great challenge faced by enterprises in this industry.

Empowering the future-oriented supply chain with Industry 4.0

By combining artificial intelligence with wearable technology to create "enhanced intelligence", enterprises can give full play to the potential of their supply chain, and more importantly, their front-line employees. As we all know, enhancing intelligence will change our business situation. In the future, with the advancement of Industry 4.0, enterprises around the world will soon use it in different scenarios. Enterprises need to ensure that they can keep pace with new technologies such as wearable devices, so as to guarantee future production lines, alleviate labor shortage and lead the industry into a new digital era.

About TeamViewer Company

TeamViewer is a top technology company in the world. By providing a powerful connection platform, it supports users to remotely access, control, manage, monitor and repair any type of equipment, from laptops and mobile phones to industrial machinery and robots, and truly realizes barrier-free connection. TeamViewer’s private non-commercial use is all free, and at the same time, it has over 620,000 subscribers, helping companies of all sizes and industries to digitize key business processes through seamless connection. Against the background of global equipment proliferation, automation and new working forms, TeamViewer not only makes a far-sighted digital transformation, but also continues to innovate in the fields of augmented reality, Internet of Things and artificial intelligence. Since its establishment in 2005, TeamViewer’s software has been installed on more than 2.5 billion devices worldwide. Headquartered in G? ttingen, Germany, the company has about 1,400 employees worldwide. In 2021, TeamViewer achieved a turnover of 548 million euros. TeamViewer AG (TMV) is listed on Frankfurt Stock Exchange and has been included in MDAX index.

Disclaimer: The market is risky, so you should be careful in your choice! This article is for reference only, not for sale.

Red Hat and IBM Research Institute released AI community project to lower the threshold of enterprise IT automation.

Red Hat recently announced the cooperation with IBM Research to launch the first community project "Project Wisdom", which aims to build intelligent functions and natural language processing capabilities for Ansible and IT automation industries. This project uses artificial intelligence (AI) model to improve the productivity of IT automation developers, and helps IT professionals with different skills and backgrounds to practice and understand IT automation.

According to the survey of IDC, a market research organization, by 2026, 85% of enterprises will combine human skills with AI, machine learning (ML), natural language processing (NLP) and graphic recognition to build forward-looking thinking, and improve the productivity and efficiency of employees by 25%. In addition, technologies such as machine learning, deep learning, natural language processing, graphic recognition and knowledge map are also providing insights, predictions and suggestions that are more accurate and scene-aware.

However, becoming an automation expert requires a lot of effort and resources over time, and needs to explore different fields by using the learning curve. Therefore, the two parties jointly launched Project Wisdom project, which aims to eliminate the gap between Ansible YAML program code and human language. Users can generate program code with correct grammar and automatic functions only by simple English sentences.

Project Wisdom is derived from IBM’s AI basic model "AI for Code". Users only need to input simple English sentences to generate instructions. Project Wisdom then parses sentences and builds automated workflow required by users, and wrITes it in Ansible Playbook form to automatically perform any number of IT tasks.

At the same time, Project Wisdom can assist the system administrators who usually provide local services, and use natural language to generate Playbook instructions, so as to create, configure and operate across domains in other environments. Developers who are familiar with how to build applications, but are not familiar with their cloud computing configuration, can also use Project Wisdom to improve their proficiency in related fields and realize business transformation. In addition, novices in different departments can immediately produce content without relying on the traditional teaching mode, while still accumulating basic knowledge.

According to Red Hat, unlike other AI-driven program code tools, Project Wisdom does not focus on application development, but helps enterprises solve enterprise IT challenges that have become increasingly complex due to the expansion of hybrid cloud adoption. Enterprises can lower barriers to entry and solve the challenge of gradually expanding skill gap through intelligent solutions.