Interest in learning machine learning has skyrocketed in the years since Harvard Business Review article named ‘Data Scientist’ the ‘Sexiest job of the 21st century’. But if you’re just starting out in machine learning, it can be a bit difficult to break into.

The US-China trade war has triggered a major reshuffle of the supply chain. The global manufacturing industry is facing unprecedented challenges. In the process of transforming smart manufacturing, the biggest problem is the integration of operating technology (OT) and information technology (IT). Only by working with the smart manufacturing ecosystem can we have a chance to survive in the changes and seize future business opportunities.

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. However, SI will provide OT and IT integration services, or IBM will provide more data-driven AI value-added services.

As discussed in Tech Trends 2019: Beyond the Digital Frontier, technology forces that are increasingly dependent on advanced connectivity capabilities also are reshaping enterprise architecture.

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.

Additive manufacturing is playing an increasingly important role in the manufacturing industry and is mainly used in toolmaking and prototype construction.

In recent years, with the development of Industry 4.0, factory automation has become a future trend.

Today, the Internet of Things is still a hot topic in many industries. Emphasizing the benefits of adopting this technology, Fortune Business Insights estimates that by 2026, the global Internet of Things market will reach 1102.6 billion US dollars.

One of the main tenets of Industry 4.0 is data collection. Machine tools will have sensors that will collect many different kinds of data, including data on how much the machine has operated, the conditions it has operated in, and the condition of the components of the tool.

Industrial 4.0 revolution swept through the entire manufacturing industry. Various countries and regions are actively deploying Industry 4.0 and smart manufacturing. How does Taiwan respond? How to combine your own advantages to gain a competitive advantage in this global 4.0 manufacturing revolution? Industrial reform involves not only technology, but also the integration and breakthrough of ideas.

"Link" and "Optimization" are the core spirits of Industry 4.0. To create these two key elements, it requires extensive use of automated production, Internet of Things, intelligent robots, supply chain interconnection, and big data.

After "Cloud Computing", a new term "Fog Computing" has been added in recent years. It mainly comes from the phrase "fog is a cloud closer to the ground".

Edge computing is a distributed computing architecture that moves applications, data, and services from the central node of the network to the logical edge nodes of the network for processing. Edge computing decomposes large-scale services that were originally processed by the central node into smaller and more manageable parts, and is distributed to the edge nodes for processing.

Driven by the German government's national policy, Industry 4.0 has become the most high-profile manufacturing issue in the world. Therefore, countries have successively launched corresponding smart manufacturing policies. With the help of 5G, the world is facing an uncompleted and perfect 5G environment to respond to smart manufacturing Yes, and Taiwan still has many opportunities and challenges in 5G smart manufacturing. Taiwan ’s 5G commercialization is imminent, and it is still expected that the government, telecommunications operators, and automation industry will work together to accelerate the full implementation of 5G.

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

With the advent of Industry 4.0, countries have also adjusted their industrial manufacturing strategies to enhance their smart manufacturing capabilities.

Do you know the new words about tooling 4.0? Here we provide some introduction and example that manufacturers can know and follow the direction. Tooling 4.0 improves all about using technology to turn "clumsy" products into "smart" products.

According to each exhibition of EMO Hannover, it can be observed that smart production will be the future of the industry, and smart manufacturing will drive the improvement of industrial technology and effectiveness, which will be another turning point for industrial development.