AIBDT

Although the relatively young AIBDT was founded in 2018, members of the company boast over 24 years of AI-related data analysis experience in semiconductor manufacturing fabs. Their expertise ranges from process, yield improvement, and productivity to product design, AI, big data, IT, and other key areas. Additionally, AIBDT has more than 15 years of practical experience in the field of decision-making and analysis, and has long been engaged in the development of big-data-driven smart analysis t... o help companies effectively identify process abnormalities. Features of the Company: (1) Offers an analysis and decision-making platform with comprehensive solutions; (2) Assists enterprises to introduce smart manufacturing in accordance with Industry 4.0; (3) Boasts cloud computing platforms based on AI and big data technologies; (4) Helps solve problems related to yield rate and quality optimization in the production/manufacturing processes; and (5) Helps clients reduce production/manufacturing costs significantly by identifying the solution in the shortest time possible. AIBDT provides a variety of solutions and analysis services with smart big data technology as the core. We provide systematic solutions for enterprise analysis and decision-making purposes. The goal is to assist customers in solving yield and quality issues regarding the engineering process, with the specialization in yield improvement. We are also a leading brand that helps launch clients into the field of smart manufacturing by introducing smart decision-making (in accordance with Industry 4.0). AIBDT's analysis services and solutions can accelerate success for the clients. Leveraging AI big data, we seek to assist enterprises to optimize the analysis and decision-making process in response to any emergencies related to product, equipment, environment, and any other form of interactions in the production process. The ultimate goal is to improve yield rates. Tapping into the tools of digitization, automation, and smart transformation, we can help clients save time, human resources, and operation/opportunity costs with high-performance computing mechanisms. As a result, the corporate competitiveness will be greatly improved in terms of data collection, analysis, early warning, prediction, and decision-making.More