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AI data analytic in smart manufacturing

AI Data Analytic in Smart Manufacturing

” 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

Revolutionize Manufacturing with deep learning AI

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

AI in manufacturing

Artificial intelligence In Smart Manufacturing

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

IOT in Smart Manufacturing

Industrial IoT roles in Smart Manufacturing

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