Data Management Challenges
With continued adoption of 5G networks, the industry will see an explosive growth of data. That is in part because 5G provides the foundation for new value creation coming from new vertical industry applications. Use cases like automatic network management, network fault prediction and solution, and personalized user experience remain significant scenarios. But a data platform for 5G networks is needed to build a service indication system for end vertical industry use cases (e.g., augmented reality/virtual reality, smart homes, Industrial Internet of Things [IIoT], Industry 4.0, etc.) and to provide relevant analysis and management capabilities.
Further, Communication Service Providers (CSPs) increasingly seek to use data in business processes and decision making for sustainable productivity growth as a source of competitive advantage. Consequently, the foundation of data management is evolving to include new data formats, new analytics, and Artificial Intelligence (AI)/Machine Learning (ML) techniques. This brings about three major challenges:
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