Jakarta, INTI - Factory machine problems are often discovered only after production has come to a halt. NEC Indonesia is offering an alternative through artificial intelligence (AI) technology designed to detect early signs of abnormalities before equipment actually fails.
The technology, known as System Invariant Analysis Technology (SIAT), was showcased at the Indonesia 4.0 Conference & Expo 2026, held on October 13–14, 2026, at Hotel Bidakara in Jakarta.
Under the theme “AI Powered Industry – Shaping the Future of Intelligent Enterprise,” the exhibition brought together industry players, government representatives, academics, and technology providers to explore the future of intelligent manufacturing.
AI Solutions for Machines and Human Workflows
SIAT detects anomalies in industrial systems to support predictive and prescriptive maintenance. Predictive maintenance helps anticipate potential equipment failures, while prescriptive maintenance provides recommendations for corrective actions.
NEC also presented Work Process Recognition (WPR), an AI-powered solution designed to analyze video footage to understand and optimize manual work processes. By using cameras and algorithms to analyze how workers perform tasks, the technology aims to identify opportunities for improving operational efficiency.
However, questions remain regarding worker privacy and data governance. NEC’s announcement did not specify how employee recordings are stored, who can access them, or whether the analysis focuses on individual workers or broader work processes.
Asset Management and Workforce Transformation
NEC partner PT IFS Solusi Integrasi presented its Enterprise Asset Management solution, which is designed to optimize asset utilization, streamline maintenance processes, and improve overall operational efficiency.
Meanwhile, ABeam Consulting Indonesia participated in the “Warehouse of Idea” session to introduce smart manufacturing solutions.
Workforce development was another key topic at the event. NEC Indonesia participated in a panel discussion titled “Workforce Transformation in the Age of Intelligent Industry,” addressing the changing role of workers as industries increasingly adopt intelligent technologies.
NEC Indonesia President Director Akifumi Katano stated that AI, automation, and data-driven solutions would make significant contributions to improving national industrial productivity and competitiveness.
He added that NEC remains committed to strengthening industrial workforce capabilities and accelerating the government’s Making Indonesia 4.0 vision.
Measuring the Impact of Making Indonesia 4.0
Launched by the Indonesian government in 2018, Making Indonesia 4.0 is a national industrial roadmap that aims to position Indonesia among the world’s 10 largest economies by 2030.
NEC’s technology offerings address two key industrial challenges: unexpected machine downtime and inefficient manual processes, both of which can reduce productivity.
However, the company’s announcement did not provide specific performance figures, pricing information, investment values, or percentages showing reductions in machine downtime. It also did not identify Indonesian factories currently using SIAT or WPR.
As a result, the claimed efficiency benefits cannot yet be independently assessed based on the available information.
NEC has maintained a presence in Indonesia since opening its representative office in Jakarta in 1968. Over the past 58 years, the company has expanded its portfolio to include telecommunications networks, biometric identification, banking and financial services, public transportation and logistics, manufacturing, and government and enterprise applications.
In manufacturing, NEC promotes a Human-Centric Digital Transformation approach that combines digital technologies with improvements in industrial processes and workforce capabilities.
Conclusion
NEC Indonesia is showcasing AI-powered solutions to improve industrial productivity through predictive maintenance and work process optimization. While SIAT and WPR offer potential benefits for smart manufacturing, measurable performance data, implementation costs, and worker data privacy remain important considerations. Their long-term impact will depend on effective implementation and the ability to demonstrate tangible improvements in Indonesia’s industrial efficiency and competitiveness.
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