Artificial Intelligence cannot solve all the problems.
According to IDC, 92% of companies that applied artificial intelligence experienced failure, and after implementing DX, 33% of companies cited 'lack of solutions tailored to the process environment and low prediction accuracy' as the main reasons for failure in applying artificial intelligence.
Industrial sites need industry-specialized artificial intelligence that knows the process well.
In order to utilize complex and special industrial processes and a lot of process data collected in the field and derive results, an industrial AI solution with expertise and high prediction accuracy is needed. Artificial intelligence is emerging as an alternative to the challenges that the manufacturing industry must address(unstable supply of raw materials, increasing energy costs, decreasing professional workforce due to aged society) and increasing production efficiency through process optimization and supporting field workers to make better decision.
Complex industrial processes
Unstable supply of raw materials
Increasing energy costs
Decreasing professional workforce due to aged society