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Enhancing Digital Twin with AIoT

by cclee

What are the applications of Digital Twin? Can Digital Twin helps in the Manufacturing? The discussion continued in the “Sembang AIoT” session episod 45 on 19th of April 2024 presented by the AIoT Team leaders Mr. CC Lee and Tan Kien Leong. What is Digital Twin? Imagine having a virtual clone of a real-life object, like a car or a building. This virtual copy is constantly updated with real-time data from its real counterpart, so you can monitor, analyze, and even predict its behavior or performance without actually touching or seeing the physical object. It’s like having a magical mirror that shows you everything about something, even if it’s miles away! That’s basically what a digital twin is: a virtual representation of a physical thing, helping you understand and manage it better. In manufacturing, digital twins are used extensively for… Read More »Enhancing Digital Twin with AIoT

predictive analytic in smart manufacturing

AIoT predictive Analytic for Smart Manufacturing

by cclee

There were several discussion that touched about deep learning AI and Industrial IOT in manufacturing. Predictive analytic in Smart Manufacturing is the focus point in the Live chat in AIoT presented by Axiomtek Malaysia on the 12th of April. Why Predictive analytics is crucial in making sure the production plant is in smooth running condition? Predictive analytics plays a crucial role in ensuring the smooth running of production plants for several reasons: Early Detection of Issues: Predictive analytics allows for the early detection of potential issues or failures in machinery or processes by analyzing historical data, sensor readings, and other relevant information. By identifying problems before they escalate, production downtime can be minimized or even prevented altogether. Optimized Maintenance Scheduling: By analyzing data on equipment performance and wear and tear, predictive analytics can help optimize maintenance schedules. Instead of relying on… Read More »AIoT predictive Analytic for Smart Manufacturing

AI Data Analytic in Smart Manufacturing

by editor

” Sembang AIoT” live session was hosted by Axiomtek Malaysia again on the 6th of April 2024. In this session, AI Data Analytic for smart manufacturing was discussed in a greater depth where the challenges of applying AI data analytic was put on the table for discussion. What could be the main challenges in the application of AI data analytic in Smart Manufacturing? Data Quality and Availability: Manufacturing data may be noisy, incomplete, or of varying quality. Ensuring data accuracy and availability for training AI models is crucial. Interoperability and Integration: Manufacturing environments often use diverse systems and equipment, leading to interoperability challenges when integrating AI analytics across different platforms. Complexity of Processes: Manufacturing processes can be complex, involving numerous variables and interactions. Developing AI models that accurately capture and optimize these processes requires deep understanding and expertise. Real-time Decision… Read More »AI Data Analytic in Smart Manufacturing

Fog computing complements Edge and Cloud

by cclee

The “Sembang AIoT” live session took place on March 29, 2024. Once again, the Axiomtek Malaysia AIoT Team shared insights into fog computing and its role in enhancing both Edge and Cloud computing for the Industrial IoT ecosystem. Why is fog computing crucial in the construction of the entire industrial transformation system? Why does it often receive less attention in digital transformation infrastructure discussions? Fog computing serves as an intermediary layer that shares similarities with both edge devices and cloud servers. However, upon closer examination, it emerges as a valuable enhancer and complement to Edge and Cloud computing. Why fog computing in Smart Manufacturing:- Real-time Data Processing: In smart manufacturing, numerous sensors and devices generate vast amounts of data. Fog computing enables the processing of this data in real-time, allowing for immediate insights and decision-making at the edge of the… Read More »Fog computing complements Edge and Cloud

commoditize your data with the help of AIoT

by cclee

Join us for a live session hosted by Axiomtek Malaysia, your premier AIoT partner, on March 22, 2024. Discover the immense value of data in shaping the future, particularly in the context of commoditizing or monetizing your data right at your shop floor, especially within the manufacturing process. In the age of digitization, with advancements in AI and IoT technologies, datasets are gaining unprecedented utility. The availability of robust computing power enables deep data analytics and machine learning, enhancing the value of data sets. Those who have diligently maintained their historical data stand at a significant advantage, as they can leverage this data to optimize their processes with AI assistance. Moreover, such data holds immense value for others engaging in similar processes or initiating startups in related domains, as they can learn from and kickstart their operations with pre-trained AI… Read More »commoditize your data with the help of AIoT

Revolutionize Manufacturing with deep learning AI

by editor

In the Episode 40th live session on March 15th, 2024, we delved deeply into the realm of deep learning AI. We explored the fundamentals of deep learning, recognizing its significance as a breakthrough in AI applications. Deep learning AI, a subset of artificial intelligence (AI), has rapidly gained prominence since its inception. Initially introduced and popularized in the early 2010s, deep learning gained traction due to its remarkable ability to process and analyze large volumes of data with unparalleled accuracy. Its rise to popularity can be attributed to significant advancements in computing power, the availability of vast datasets, and breakthroughs in neural network architectures. These factors have collectively fueled the widespread adoption of deep learning across various industries, including manufacturing. In manufacturing, deep learning AI is revolutionizing traditional processes by enabling predictive maintenance, quality control, and automation. By leveraging sophisticated… Read More »Revolutionize Manufacturing with deep learning AI

Artificial intelligence In Smart Manufacturing

by editor

Axiomtek Malaysia AIoT Team led by Mr. CC Lee and Tan Kien Leong presented another live session on the 8th of March 2024 again and this is episode number thirty-nine. During the session, we shared the fundamentals of AI in manufacturing. An overview of different types of AI methods and verticals were discussed such as Vision AI, Machine Learning AI for Big Data, LLM ( Large Language model), and Generative AI. What are the types and concepts of AI that can be applicable in Manufacturing? We touched on that in more detail in terms of the Operation level behind the AI process and we set up a demonstration of Axiomtek AIS in Vision AI for the manufacturing process. The concept of Artificial Intelligence (AI) in the manufacturing industry involves leveraging advanced technologies to create intelligent systems that can perform tasks… Read More »Artificial intelligence In Smart Manufacturing

Industrial IoT roles in Smart Manufacturing

by editor

Delving deeper into the Industrial Internet of Things (IIoT) within the context of Industry 4.0, Mr. CC Lee and Tan Kien Leong, distinguished technical experts from Axiomtek Malaysia and Accredited HRDC trainers at AIoTmission, recently conducted the thirty-eighth session of “Sembang AIoT.” This session delved into the foundational aspects of the Internet of Things (IoT) in the industrial sector, elucidating the pivotal role played by IoT in fostering Industry 4.0 and driving digital transformation. As primary suppliers of industrial computers and PCs, Axiomtek Malaysia is actively engaged in pioneering innovations in the realms of Artificial Intelligence (AI) and IoT applications, specifically focusing on industrial transformation. Our live session in AIoT garnered an overwhelming response from our partners and followers. We extensively covered AIoT applications, spanning from the foundational levels to the most advanced stages of implementation and integration. As a token… Read More »Industrial IoT roles in Smart Manufacturing

Industry 4.0 vs 5.0 and the AIoT

by cclee

In the recent ” Sembang AIoT” session, Mr. CC Lee and Kien Leong from Axiomtek Malaysia did a deep dive into the fundamentals of Industry 4.0. The history of the Industrial Revolution was discussed and the basic principles of IR4 were discussed. Industrial Revolution 1.0: The Age of Mechanical Production with Steam Engine The first industrial revolution, which began in the late 18th century, marked the shift from agrarian and manual labor-based economies to mechanized, factory-based production. Key innovations included the steam engine, textile machinery, and iron production. This era revolutionized manufacturing processes, leading to increased efficiency and the rise of factories. Industrial Revolution 2.0: The Age of Mass Production with Electricity The second industrial revolution, spanning the late 19th to early 20th century, introduced electrification and the assembly line. The development of the telegraph and the expansion of railroads… Read More »Industry 4.0 vs 5.0 and the AIoT

AI and IOT in Dataspace

by cclee

During the live session in ” Sembang AIoT” episode 35, Axiomtek Malaysia brings to the audience the AIoT application with Dataspace. The term “Data Space” (often styled as “Dataspace”) in information technology and computer science refers to an architectural framework aimed at providing a flexible approach to data management. The concept focuses on creating a unified data management architecture that can accommodate a wide range of data types and sources, including structured, semi-structured, and unstructured data, without needing full integration or uniform formatting across these diverse datasets. In simple terms, think of a Dataspace as a digital library or storage room. It’s a place where you keep all your digital “books” and “items,” which means all kinds of data, organized so you can easily find, use, and store them again. Just like in a physical library or warehouse, there’s a… Read More »AI and IOT in Dataspace