KT "Leading Digital Innovation with 4 Major Converged AI Technologies"

Utilizing Network AI and GigaTwin
Driving Industrial AI Market in Non-Communication Fields
Resolving Challenges in Manufacturing, Transportation, and Logistics Sites

[Asia Economy Reporter Koo Chae-eun] "Leveraging KT's artificial intelligence (AI) technology as a foundation, we aim to enhance productivity and efficiency not only in telecommunications but also in non-telecommunications industrial sectors."

Hong Kyung-pyo, Head of KT Convergence Technology Institute (Executive Director), stated at the KT Industrial AI Convergence Press Briefing held on the 14th, "We will lead KT's unique digital innovation." KT's four core AI engines are ▲Network AI ▲GigaTwin ▲Robo Operator ▲Machine Doctor. KT revealed its plan to lead the industrial AI market in manufacturing, transportation, and logistics sectors by utilizing these four technologies beyond telecommunications. Executive Director Hong said, "KT possesses not only interface AI technologies such as voice recognition but also convergence AI engines specialized for industrial sites, along with industry-specific data resources and platforms. By leveraging these, we can lead digital innovation."

◆Driving AI Digital Innovation = According to KT, the first of KT's four AI engines is 'Network AI.' It learns tens of thousands of equipment alarm patterns to accurately predict failures in industrial sites. It has a self-correcting capability that allows AI to detect and resolve issues before customers report them to the call center. The second AI engine, 'GigaTwin,' helps optimize industries using predictive data. It can predict traffic flow changes two hours ahead with approximately 88% accuracy. Utilizing this can improve traffic congestion by 20% at intersections across 10 metropolitan areas.

Additionally, 'Robo Operator' quickly learns complex equipment structures to provide optimized control solutions. It is used for energy savings in heating and cooling systems, power facilities, production equipment, machine tools, and renewable energy facilities. Currently, it is applied in six buildings including KT Gwanghwamun Building East, LS Tower, and Daejeon Save Zone, achieving up to 18% energy savings. 'Machine Doctor' analyzes data such as sound, vibration, and current to learn machine defects and directly diagnose which parts need repair. It is equipped with a self-learning function.

To rapidly apply these four AI engines in industrial sites, KT has also established KT Brain Hub. This is to share information on AI training data, collect it, and provide processed data. When developers access AI training data, they can learn about data collection and processing methods. They can also view research cases and data processing know-how from other developers who have used the same AI training data.

◆Leading the AI Market = Actual AI demand in industrial fields is rapidly increasing. The spread of COVID-19 has established a non-face-to-face, untact culture, raising interest in industrial optimization, safety enhancement, and cost reduction through AI technology. A KT official said, "The four AI engines are innovative technologies that provide practical help to companies in various industries regarding their business situations," adding, "We will strengthen expertise in telecommunications, manufacturing, transportation, and logistics businesses, optimize industries, and create new value for companies using these technologies."

Meanwhile, according to global IT consulting firm Atos, worldwide companies were predicted to invest a total of 52 billion euros (approximately 71 trillion KRW) in AI and cognitive automation systems in 2021. Among various industries, the sector receiving the largest capital investment for AI was finance and insurance (13.7 trillion KRW), followed by manufacturing (10.8 trillion KRW), distribution and logistics (10.6 trillion KRW), public sector (10.2 trillion KRW), and healthcare (6 trillion KRW).

This content was produced with the assistance of AI translation services.