AI & MACHINE LEARNING
The Impact on Tooling
Leading businesses rely on the power of Artificial Intelligence and Machine Learning to make the best use of their voluminous and unstructured data and identify hidden patterns and relationships within the datapoints.
eMoldino’s AI and Machine Learning powered platform utilizes dynamic tooling data to build classification, predictive, and diagnostic solutions that provide insights into the tool’s production efficiency, remaining useful life, and its health status. Leveraging the power of AI and ML algorithms on the data we collect through our sensors, we provide solutions such as predictive maintenance of tools, delivery risk forecast, and part quality prediction.
What is
Tooling Digitalization?
TECHNOLOGY
AI & Machine Learning
Train and deploy your AI & Machine Learning to eMoldino experienced platform.
#AI
AI & MACHINE LEARNING
Conventional vs.
Machine Learning
Traditional algorithms severely fail in finding patterns and non-linear relationships within big data. On the other hand, ML algorithms find rules to classify data or make predictions based on learned patterns without being explicitly programed to do so.
Another significant difference is the amount of data that can be processed. For the sake of accuracy, the larger the data volume, the higher the accuracy of the machine learning based models since the algorithms train on larger sets of observation and are less prone to overfitting. For traditional algorithms including statistical methods, more data means more difficulty as generalizing a rule becomes more difficult due to the presence of stochastic processes in large sets of observation.
AI & MACHINE LEARNING
Tooling Big Data
Leading businesses embrace the idea of Artificial Intelligence(AI) and Machine Learning because they provide a direct solution to; overwhelming data, endless data-flow, and inability to identify hidden patterns and correlations among large amount of data.
eMoldino's AI and Machine Learning algorithms examine tooling data gathered over a long period of time. This enables the system to learn how to identify and classify patterns in large volumes of data and build a predictive model. Compared to the conventional method, machine learning can automatically refine the current algorithms for higher accuracy and to reach optimal results.
MEET OUR EXPERTS
Join the journey of
AI and machine learning advancement with eMoldino
Korea Institute of Industrial Technology (KITECH) focuses on research and development of manufacturing technology using IT and artificial intelligence. eMoldino partnered with KITECH, to utilize big data and cutting-edge AI & Machine Learning technology in the field of smart molds & dies.
Dr. Jason Kim, Ph.D. of KiTECH is the Chief Technology Advisor of eMoldino who leads a team of experts responsible for the implementation of AI & Machine Learning into eMoldino platform. With the support and leadership of Dr. Kim, eMoldino has invested over two years in co-developing the industry leading tooling big data platform powered by AI & machine learning technology.
Our goal is not only to provide a service but also drive the industry forward in technological advancement.
HOW AI & MACHINE LEARNING
ACTUALLY WORK?
Glad you asked. Let us show you!