Data, collaboration and life on the edge – Meet the Catalyst winners
At Digital Transformation Asia this week, 17 Catalyst teams demonstrated their solutions to common telecoms industry challenges. Read on to find out which teams won awards.
Arti Mehta
14 Nov 2019
Data, collaboration and life on the edge – Meet the Catalyst winners
At Digital Transformation Asia this week, 17 Catalyst teams demonstrated their solutions to common telecoms industry challenges. Read on to find out which teams won awards. Catalysts are member-driven, proofs of concept that bring together communications service providers (CSPs), suppliers, developers and others from around the world to create rapid-fire solutions to key challenges. Indeed, many of today’s innovative commercially deployed solutions began life in the Catalyst program.
The teams demonstrating at the event in Kuala Lumpur comprised more than 60 companies and over 200 individuals. Their projects covering artificial intelligence (AI), customer experience, virtual reality (VR), blockchain, 5G and much more were judged by a panel of 13 industry experts.
Participants: Axiata Digital Labs, Apptium, Ericsson, Huawei
With collaboration at the forefront of industry success, this Catalyst created an online marketplace, not unlike the Android Play store or the Apple App store, where telcos are able to come together, discuss experiences, share success stories and find common ground.
This the first of its kind for telcos and incorporates a standard framework to facilitate application porting and deployment across telco environments seamlessly. The framework includes necessary functions such as management of application program interfaces (APIs) and service orchestration, resource orchestration, order management, catalog management and charging management.
Within 5G, edge use cases have varying characteristics and thus require different edge implementations to be efficient and cost-effective. It is crucial that firms are able to scale beyond public, private and hybrid clouds to extend automated lifecycle management to the edge.
This team created blueprint for an edge cloud lifecycle manager. The solution focuses on how the workloads of edge locations can be managed centrally from the lifecycle service orchestrator, and is applicable to different edge implementation approaches.
Champion: China Unicom Participants: BUPT, SI-Tech, Whale Cloud
With the commercialization of 5G, CSPs will face the problem of fast and massive real-time data stream processing. This project uses technologies such as AI, machine learning and edge calculation to analyze the basic consumption characteristic data of different users.
It simultaneously performs user portraits through user-specific consumer behaviors for different users in different usage scenarios and provides personalized adjustments to personalized traffic quotas.
Champion: China Telecom Participants: AsiaInfo, BOCO, Huawei, ZTE
This project processes data from multi-vendor networks using unique data quality control technology, standardized data cleansing and quality analysis to ensure that the data is ready for ready for AI model training. Once a relevant AI model is selected, the next move is to embed an accurate anomaly detection algorithm without fixed threshold onto cells in order to discover any network capacity and congestion issues. Where there are issues, an organization would then establish a long-term and short-term AI forecast model to predict cell capacity, to then be able to create a viable proposal for capacity expansion.
