Guaranteed Quality of Experience with User-Centric Customer & Service Analytics
CustomAIr is a real-time analytics product aimed at providing instant intelligence to Operators. Thanks to its out-of-the-box applications, solutions can be delivered right away, without costly and long integrations.
Open data
Ready to work with 3 rd -party applications by using different Hadoop, Spark or REST API interfaces.
Big data architecture
Leveraging distributed file system, columnar
stores and execution paradigms.
Machine learning
Built-in AI-Powered Use Cases and ML Models to enable network automation and actuation.
Cloud-native
Running on public (AWS, Google Cloud, Azure, etc.), private and hybrid clouds.
End-to-end- umbrella
Cross-domain, integrating RAN, Core, IMS, OSS and BSS data sources under a common platform.
Customer - Centric
At Zhilabs, we believe that customers must be at the center of every strategic decision. Consequently, CustomAIr solutions revolve around three main axes.
Network Intelligence.
This domain includes capacity planning, network investments or network optimization solutions.
Customer Intelligence.
To provide better promotions and up-sell opportunities, better recommendations and more targeted product-prices mixes.
Customer Experience.
How users experience Operator’s services, improve customer satisfaction, prevent churn, etc.
AI-Powered
Cloud-Native Architecture
- Container-based design, going beyond virtualization to better squeeze hardware resources. Samsung Zhilabs solution supports Docker for container creation and specification, Kubernetes for container orchestration and storage by means of persistent volumes.
- Micro-services architecture providing specialized, elastic and on-demand functionalities.
- Native support for 5G Network Slicing living up with OpenStack and NFV infrastructures.
Deployment in Kubernetes clusters either on private or public cloud environments (i.e: Amazon EKS (Elastic Kubernetes Service), AKS (Azure Kubernetes Services), GKE (Google Kubernetes Engine).
In Samsung Zhilabs we are aware that mobile networks operational management is not an easy task for operators. On the one hand MVOs must be ready to provide the latest next generation technologies to their customers, however, on the other hand MVOs need to keep monitoring and managing legacy technologies.
Aware of this complexity, Samsung Zhilabs has created CustomAIr with the main goal of simplify and homogenize in one place the big amount of analytics coming from different network interfaces and mobile networks technologies. Thanks to its flexibility, multi-technology and multi-domain characteristics, CustomAIr can be easy deployed in any MNO to centralize under the same end-to-end platform, all network data analytics and provide value added solutions on top.
Integration with all standardized interfaces
- IPv4, IPv6
- Encapsulations (e.g. MPLS, VLAN, VxLAN, PPPoE)
- Gi, SGi, Gn, Gp, S1u, S11, S3, S4, S5, S8, S10, S11, S2b
- IuPS, Gb/Gr, S1-MME/S6a
- Diameter Interfaces (e.g. Gx, Gy, S7)
- INAP, MAP, ISUP
- CAMEL
- DNS, ENUM
- Syslog, TCP/UDP endpoints
- 5G SBA Service Mesh:
- Distributed (B3) tracing and telemetry collection via istio/envoy (sidecar proxy) for K8S environments
- vTap Capture
- 5G P2P: N4 (PFCP – CUPS)
- 5G-4G Fallback: N26 (GTP-C)
- N3 (GTP-U)
- VoLTE/ViLTE/VoWIFI Stack
- SIP
- SDP
- RTP/RTCP
- Handovers
- Sv (SRVCC)
- CSFB
- Diameter-based protocols to support network elements (e.g. Cx, Sh, Ro, Rx)
- SIP Interfaces (e.g. SIP-I, SIP-T)
- Megaco
CustomAIr Application Packages
On top of the CustomAIr base platform, Zhilabs offers a wide variety of application packages to address specific MVO use cases:
Everything under a single view.
- Powered by ML technology, provides key insights for streaming video, streaming gaming and VoIP services.
Full network visibility at a glance.
- Network Performance (KPIs, KQIs)
- Network Faults (Alarms)
- VIP dedicated monitoring
- Impacted Subscribers
- Global Service Experience Index
- and more …
Everything under a single view.
- 0-10 indicator that matches network experience perception of the subscriber for the different operator services, by correlating all network information (accessibility, integrity and retainability KPIs) and subscribers’ touchpoints (NPS surveys, customer care calls, tickets, etc)
- Automatic anomaly detection and next best action.
- Network performance forecast with automatic root cause analysis.
- Automatic identification and classification of new apps.
- Prediction of subscribers’ complaints.
- AI/ML Models for NPS Prediction and Improvement
- End-to-end journey from subscriber touch points to monetization interactions.
- Advanced RAN optimization and planning
- Understanding of network issues at subscriber level. Deep end-to-end call flow visibility with unlimited access to protocols
- Machine Learning algorithms to extract key insights from encrypted video content like video definition quality, time to stream start, number of videos, stalls per video, stalls durantions, etc
CustomAIr Application Packages
On top of the CustomAIr base platform, Zhilabs offers a wide variety of application packages to address specific MVO use cases:
Everything under a single view.
- Powered by ML technology, provides key insights for streaming video, streaming gaming and VoIP services.
Full network visibility at a glance.
- Network Performance (KPIs, KQIs)
- Network Faults (Alarms)
- VIP dedicated monitoring
- Impacted Subscribers
- Global Service Experience Index
- and more …
Everything under a single view.
- 0-10 indicator that matches network experience perception of the subscriber for the different operator services, by correlating all network information (accessibility, integrity and retainability KPIs) and subscribers’ touchpoints (NPS surveys, customer care calls, tickets, etc)
- Automatic anomaly detection and next best action.
- Network performance forecast with automatic root cause analysis.
- Automatic identification and classification of new apps.
- Prediction of subscribers’ complaints.
- AI/ML Models for NPS Prediction and Improvement
- End-to-end journey from subscriber touch points to monetization interactions.
- Advanced RAN optimization and planning
- Understanding of network issues at subscriber level. Deep end-to-end call flow visibility with unlimited access to protocols
- Machine Learning algorithms to extract key insights from encrypted video content like video definition quality, time to stream start, number of videos, stalls per video, stalls durantions, etc