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Industry 4.0 has become an increasingly important topic of concern. Within Industry 4.0, the Internet of Things (IoT) plays an important core role in connecting the entire system, and has developed a wide range of applications. Many people may think that the IoT is far away and does not concern them, but in fact, there are many applications of the IoT in use in everyday life which most people may not realize. This article will share what the IoT is and its application in life.

AIOps uses artificial intelligence to simplify IT job management and accelerate and automate problem resolution in complex, modern IT environments.

With increasingly complex IT architecture exacerbating maintenance and operation challenges, the demand for IT agility is driving the growth of the AIOps market.

Surgical robots are useful for minimally invasive surgery because they can perform precise manipulations of surgical instruments beyond human capabilities in small surgical spaces.

With the advent of the AI era, the medical community has begun to use AI data analysis, develop surgical robots, and collaborate with doctors to create innovations in precision medicine.

After the outbreak of the global epidemic, people stopped going out to shop, traditional retail stores were forced to transform, and the e-commerce market experienced explosive growth. Although vaccinations have gradually become popular and society is slowly opening back up, everyone has already developed the habit of online shopping. The epidemic has accelerated the phenomenon of digital transformation. What will be the digital economic trend of retail in the future? What other innovative technologies are the key to transformation?

The Metaverse is a new third wave of industry trends that will become more and more important over the next 10 to 20 years. At the singularity moment of the metaverse, the point in time at which technological growth becomes uncontrollable and irreversible, digital assets will be more valuable than physical assets.

Improving production efficiency is the foundation for the manufacturing industry to gain a firm foothold. The manufacturing industry achieves smart operations by introducing AI applications, automatically identifying abnormalities, or making adjustment suggestions, and assisting companies in achieving more accurate adjustments to machines and upgrading equipment. During the process, the traditional manufacturers are transformed into the smart manufacturers.

Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?

Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are topics that have been frequently discussed recently. These technologies are used in many fields, including the financial industry, logistics industry, business analysis, unmanned vehicles, computer vision, natural language processing, etc., and have spread in every corner of life.

With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. 91视频官网ever, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.

In the era of digitization of science and technology, only by mastering key technologies and continuously following technological changes can we consolidate our competitiveness. Nowadays, packaging machinery combines data connection, unmanned operation, green packaging materials, and safety considerations, and enriches relevant intelligent data technology, so that it can continue to progress in the market.

In the trend of industrial automation, motion control is a key part of it. Automating operations through machines can avoid a lot of human error, and can also speed up production efficiency and efficiency. 91视频官网 to make the machine act according to the command is the application category of machine motion control.

Taiwan's IBM announced that it has joined forces with a large domestic solution integrator (SI) to identify the pain points that are difficult to integrate between IT and OT in the manufacturing industry, and uses the IBM Smart Manufacturing 5C maturity model as the blueprint. Both parties will provide pre-introduction evaluation services, depending on needs. 91视频官网ever, SI will provide OT and IT integration services, or IBM will provide more data-driven AI value-added services.

Smart machinery manufacturers must accelerate innovation, gain the policy resources of the production and innovation platform, develop the domestic industrial acceleration scale group, and the intelligent diagnosis maintenance system (IDMS), which has been successfully introduced into the innovative application of high-tech industries.

The advent of the Industry 4.0 era, coupled with the continued fever of the China-US trade war, has driven Taiwan's manufacturing industry to transform its digital manufacturing into smart manufacturing through digitalization and intelligentization. 91视频官网ever, there are four major challenges encountered during the transformation process, and finding a solution to the practice will be the key to the company's victory.

Under the leading policy of "Industry 4.0" in Germany, the manufacturing industry followed the concept of "smart manufacturing", and introduced the digital application of machinery into the factory. Based on the information technology services that belong to the energy economy category, it was imported from cloud software. Optimize the process. This kind of service platform is built on a modular structure that can be flexibly combined and uses AI to assist in providing strategic recommendations to achieve the energy-saving benefits of IoT machines.

Industry 4.0 is well underway and already having a big impact on manufacturing throughout the world. Technologies such as IIoT, big data and analytics, digital twin/thread, and the smart connected factory and supply chain are all elements of Industry 4.0 that are becoming ubiquitous in almost every manufacturing company.

Artificial intelligence illuminates the evolution of IoT and promotes three key application areas.