The telecom industry market is more competitive than ever before and operators are trying to survive in the global market by not only about providing customers with technological updates and maintenance, but also about delivering premium customer service and experience.
Lately, Machine Learning is booming the telecom industry. Machine Learning is a subfield of artificial intelligence and computer science that allows software applications to be more accurate in predicting results. The prime objective of Machine Learning technology is to build algorithms that can get input data and leverage statistical analysis to predict an acceptable output value. Telco industry works with big data and thus, it must be intensively involved in Machine Learning processes to upgrade.
For network operators, competition has increased and new deals are continuously coming to the marketplace. To cope with this situation, Machine Learning algorithms are being developed to learn from new data to understand why subscribers bail, to build a new strategy for customer retention.
In Korea, SK Telecom has launched the OSS, TANGO that monitors and manages customer experiences in real time. TANGO is a next-generation OSS (operational supporting system) of SK Telecom which has been commercialized in South Korea in December 2016 and serves 25 million customers so far. TANGO supports comprehensive telco operation for end-to-end layer by open source platform. It is an adaptive solution, therefore can be applied to any operator. Recognizing the excellence of TANGO, SK Telecom and Bharti Airtel signed a strategic partnership to transfer OSS technologies and solutions. Under the partnership, SK Telecom will apply TANGO solutions to the nationwide telecommunication network operated by Bharti Airtel across all regions of India by 2019.
Another type of Machine Learning that SKT have deployed is Machine Learning(ML) based positioning system. SKT’s Positioning System utilizes a variety of wireless signals, such as GPS, WiFi and Cell to deliver accurate positioning results and user safety under all situations and regions. To improve positioning results, SKT has developed deep learning based WiFi positioning technology that is acquired by crowdsourced measurements, reflecting the inconstant NW environment and computes improved positioning results with numerous refined criteria optimized through Machine Learning. It also developed ML based Hybrid positioning technology providing complex signal information (GPS, WiFi, base station) that is raised by the user with Machine Learning techniques and evaluates reliability between different positioning methods.
SK Telecom is running its 'Youth Technology Class' as part of its CSR activities, which shares knowledge on ICT (Information Communication Technology) such as AI and Big Data at Youngjae and Science High Schools in South Korea. YT class consists of working-level lectures on global ICT trends and introduction of SK Telecom's ICT status. The first event was held at Chonnam Science High School on July 24. SK Telecom's AI technology unit manager Hyun-ah Lee introduced AI technology trends in South Korea and foreign countries and conducted hands-on lectures on using 'Tensor Flow' software that is used for deep learning and Machine Learning. SK Telecom plans to continue to visit Youngjae High School and Science High School nationwide for the YT class. "We have created YT class in hopes of helping develop ICT in Korea," said Yoon Yong-chul, director of the Communication Center. "We will explore ways to support teenagers' dreams based on their interests." SK Telecom will host its second ‘Youth Technology Class’ at Gyeonggibuk Science High School in September later this year.
In addition, SK Telecom is operating an AI Research Center to study various technologies of the AI field preemptively and to confirm the possibility of commercialization. The research center is comprised of three research organizations including, ‘T-Brain’, ‘Tech Prototyping’ group and ‘Data Machine Intelligence’ group.
Further to this, as part of its effort for development of human resources, SK Telecom has established an internal policy for the AI Research Center declaring that it will not limit the scale of employment and has also begun the recruitment of global talents. The organization attended the ICML (International Conference on Machine Learning) and NIPS (Neural Information Processing Systems), that are two major global academic conferences in the Machine Learning industry and initiated the hiring process of global AI talent.
To ensure sustainable long-term growth, SK Telecom will revamp the telecommunications industry’s business structure and takeoff as a comprehensive ICT company, bringing about fundamental changes in the overall business structure.