Guavus-IQ: Ops-IQ & Service-IQ AI/ML-Driven Analytics for Mobile

Guavus-IQ: Ops-IQ & Service-IQ AI/ML-Driven Analytics for Mobile Network Operators

Guavus-IQ Launch: What’s New Guavus-IQ portfolio provides a multiperspective analytics experience for CSPs, delivering highly correlated ‘outside-in/inside-out’ insights on customer experience, service & network operations CSPs don’t need to be data science experts – Guavus-IQ combines network and data science to offer an operator-friendly experience for users across their operations Common UX, APIs, OAM & Security Service-IQ Ops-IQ Service-IQ Guavus Reflex Unified Data Ingestion Guavus-IQ reduces compute/processing costs by 50%, provides 10M/year OPEX savings to CSPs through advanced AI-driven analytics 2 Public Cloud Data Center & Private Cloud

Guavus-IQ: AI/ML-based Analytics & Automation (AAA) Products Cloud-Native Solutions for CSPs Common UX, APIs, OAM & Security Carrier-grade performance, scalability, reliability & resiliency for communications service providers (CSPs) Pre-integrated multi-vendor data sources Real-time context-aware operational (Ops-IQ) & behavioral (Service-IQ) streaming analytics pipelines Service-IQ Ops-IQ Service-IQ Guavus Reflex Unified Data Ingestion Public Cloud Data Center & Private Cloud Low cost: compact hardware footprint Open: application programming interfaces (APIs) Flexible deployment: hybrid clouds & on-premises Centralized operations, administration, maintenance (OAM) & security Productized Analytics for CSPs No need to employ data engineers & scientists Focus on realizing business value & not the complex mechanics of collecting/processing data 3

Guavus’ Core Strength & Focus Artificial Intelligence (AI) / Machine Learning (ML) based Analytics How Users Affect the Network? How the Network Affects Users? Mobile Devices Content Provider CX-Impact Analysis Detect Network Issues Remediate & Optimize Operational Analytics 4 Network-Impact Analysis Customer Network Provider CX Customer Experience Understand User Activity Recommend Best Actions Behavioral Analytics

Service-IQ Introducing Service-IQ for Higher Revenue & Better CX Across MNO

Service-IQ: What is it? How does it work? Who wants it? Carrier-grade, ML-based, Real-time Subscriber & Device Behavioral Analytics One Flexible Data Processing Pipeline: N Sources/Inputs N Consumers/Outputs Gets Maximum Value from Network Data ServiceIQ 6 Improve marketing & provide new services through actionable insights from continuous accurate, detailed & contextual segmentation of non-cookie event data: Device type & configuration Applications executed Websites visited & content accessed Data service usage & trends Time-of-day, location & network connection Digital Digital Services Services Marketing Marketing & & Advertising Advertising Network Network Management Management IoT IoT Services Services Service Service Management Management Device Device Management Management

Service-IQ: Enterprise IoT Analytics Module Digital Services Network Mgmt. Marketing IoT Services Service Mgmt. Device Mgmt. IoT Location Data S1-MME IoT Network Activity (EDRs & DPI) Service-IQ MNO IoT Marketplace Enterprise IoT Operations IoT Account Data Business Value Intelligence services for enterprise IoT managers IoT IoT Services Services Group Group Network service visibility IoT device usage anomalies IoT security anomalies Service top-line growth Logo acquisition Customer retention & acquisition strategy: offer differentiated value-added IoT service New revenue: upsell advanced services

Service-IQ: Marketing Analytics Module Digital Services Marketing Network Mgmt. IoT Services Service Mgmt. Customer & Device Metadata Network User Activity Device Mgmt. Real-time customer behavior metrics & segmentation from Service-IQ UI Service-IQ Electronic Data Records (EDRs) & Deep Packet Inspection (DPI) Network Metadata Business Value Product Product Marketing Marketing & & Management Management Digital Digital Services Services Groups Groups Product & promotion performance Subscriber segmentation Service top-line growth Average Revenue Per User (ARPU) Individual service/content usage New rapidly growing providers Partnership & promotion performance Top-line growth in MNO-owned digital services Direct & indirect revenue from content provider partnerships Improved product/service take-up with personalized targeting: 7X demographic-based targeting Optimize market fit of product & service definitions Compare usage of MNO-owned digital services vs. competition Usage information to promote new & growing content providers

Service-IQ: Marketing Analytics Module Digital Services Marketing Network Mgmt. IoT Services Service Mgmt. Device Mgmt. Location Data S1-MME Network User Activity (EDRs & DPI) Service-IQ Marketing Automation Systems Targeted Ads Customer & Device Metadata Business Value Marketing Marketing & & Advertising Advertising Business Business Unit Unit Customer browsing & app habits indicate interests & intentions APIs deliver targeted customer lists by intention/interest with location Advertising revenue Improved product take-up with personalized targeting: 7X demographic-based targeting Targeted (location-based) advertising: e.g. automobile, baby clothes and game shoppers

Service-IQ: Network Analytics Module Digital Services Marketing Network Mgmt. IoT Services Service Mgmt. Device Mgmt. Customer & Device Metadata Network User Activity (EDRs & DPI) Service-IQ Network Metadata Business Value Near real-time network views Mobile Mobile Core Core Network Network Operations Operations Network capacity utilization per packet data network gateway (PGW) Device & application trends/PGW Network availability Network performance KPIs Predict traffic trends per application – right-size network Optimize CX & cost Anticipate hot spots & problems Support business case work

Service-IQ: Operations Analytics Module Digital Services Marketing Network Mgmt. IoT Services Service Mgmt. Device Mgmt. Location Data S1-MME Network User Activity (EDRs & DPI) Service-IQ Ops-IQ Many uses Identify service trends Raise alarms Identify network elements under stress Network Metadata Business Value Network Network Operations Operations Ops-IQ integration Network KPI anomaly detection Root cause analysis MTTR Service Service Operations Operations Service KPI anomaly detection Rapid time to identify poor CX causing issues Service top-line growth Service CX Boost CX scores with faster identification of CX issues Reduce network costs by identifying, pinpointing & then fixing problems faster Ensure high-quality CX to boost Net Promoter Scores & service revenue

Service-IQ: Device Management Analytics (DMA) Module Digital Services MSC MME HSS Marketing Network Mgmt. Thales Gemalto Device Management Center (DMC) Device Metadata DMC Events DMC Device-DB IoT Services Service-IQ Service Mgmt. UX/Connector Device Mgmt. DMC/DMA Back Office Enhanced device management reports & analytics Business Value DMC DMC Managers Managers Marketing Marketing Operations Operations Product Product Managemen Managemen tt Revenue Revenue Assurance Assurance Real-time (vs. static) device reports with multiple filtering options Subscriber segmentation options Trend analysis & top X reporting AI/ML-based fraud detection Connectors/tools for business intelligence & automation Device/product adoption, abandonment & brand loyalty Revenue leak detection/prevention Improved device/product launch & offer management through personalized campaigns Better network & subscriber visibility Device/product strategy validation Revenue assurance

AI/ML-based Behavioral Analytics for Higher Revenue & Better CX Digital Digital Services Services Marketing Marketing & & Advertising Advertising Network Network Management Management IoT IoT Services Services Service Service Management Management Device Device Management Management Real-Time Insights Service-IQ Service-IQ Customer/Device Customer/Device Metadata Metadata Subscribers User Devices IoT Devices 1 3 4G/5G RAN Network Network Metadata Metadata Mobile Internet Transactions 2020 Guavus - Confidential EPC Layer-7 Metadata IP Aggregation Fixed Internet Transaction s WiFi Broadband Subscribers User Devices IoT Devices

Ops-IQ Introducing Ops-IQ for Operational Efficiency to Lower OpEx & Better CX

Ops-IQ: What is it? How does it work? Who wants it? Stakeholders AI/ML-based Operational Analytics for Self-healing 4G & 5G Networks Outages Failures Preve nt Network Network Operatio ns Service Operatio ns Field Field Operatio ns Security Operatio ns Detec t Degradation Root Cause & Remediate Network Planning Customer Care *per 50B of annual revenue 1 5 Annual Value to MNO* 51.2M 40.6M 41.5M TBD TBD TBD

Ops-IQ: Fault Analytics Module Prevent Root Cause & Remediate Core Feature: Alarm Prioritization & Filtering Alarms & Tickets Separate false alarms from real alarms Detect Auto-dismiss false alarms Prioritize true alarms for action Business Value Network Operations Alarm prioritization Alarm noise filtering MTTA, MTTD & MTTR (Mean Time to Acknowledge, OpEx per alarm Diagnose & Resolve) 52 minutes MTTR (5-hour average) 140% true incidents found

Ops-IQ: Fault Analytics Module Prevent Detect Root Cause & Remediate Core Feature: Root Cause Analysis Open Trouble Ticket Alarms & Tickets Separate alarms into families Identify first alarm in each family Identify root alarm & feed family data Business Value Network Network Operations Root cause analysis Consolidate alarms MTTA, MTTD & MTTR Service Operations Operations Root cause analysis Faster diagnosis Service MTTD, MTTR & availability Time/OpEx per incident Faster alarm triage MTTR Network uptime OpEx

Ops-IQ: Fault & Service Experience Analytics Modules Prevent ore Feature: Autonomous Anomaly Detection, Fault Correlation & Impact Analysis Detect Root Cause & Remediate Many Uses Alert on service impact Detect security anomalies Correlate with faults Network & Service Telemetry Analyze metrics e.g. per-app sessions Identify anomalies and correlate them with faults across network & service planes Identify alarmcausing anomaly Business Value Network Operations Service Service Operations Operations Field Operations MTTA, MTTD & MTTR Detect anomalies Determine service impact Service MTTD, MTTR & availability Likely fix action MTTR outages MTTA & MTTD OpEx MTTR Network uptime Service quality CX Cost to fix & Productivity Truck-roll optimization

Ops-IQ: Fault & Service Experience Analytics Modules Prevent Detect Root Cause & Remediate ore Feature: Multi-Domain Root Cause, Likely Fix & Impact Analysis Machine Identifies Service-impacting issue Root cause Likely fix category Alarms, Tickets Network & Service Telemetry Analyze with 360-degree view Remediate with trouble ticket generation or orchestration Identify root cause & likely fix Business Value Network Operations Service Service Operations Operations Field Operations Root cause analysis Multi-domain root cause analysis CX impact-based prioritization Likely fix MTTA, MTTD & MTTR Service MTTD, MTTR & availability MTTR outages MTTD & MTTR OpEx & Productivity MTTD & MTTR Churn OpEx Truck roll optimization

Ops-IQ: Fault & Service Experience Analytics Modules Prevent Root Cause & Remediate Core Feature: Predictive Maintenance Alarms, Tickets & Telemetry Data Identify patterns indicating impending failures e.g. temperature Asset ID Risk 1 N17003 0.35 2 N01794 0.81 3 N35978 0.27 4 N79304 0.65 Status Major Uses RAN analytics Optimize field operation schedules Avoid downtimes Stop no-fault-found Score each network asset & assign to risk bucket Business Value Network Operations Failure prediction Service Operations Likely fix Remote maintenance Field Operations MTTA, MTTD & MTTR Network uptime Service MTTD, MTTR & availability Service availability MTTR Detect OpEx Truck roll optimization

AI/ML-based Operational Analytics for Lower OpEx & Better CX Network Operations Service Operations Actionable Insights Ops-IQ CX Scoring Metrics Service Impact Metrics Likely Fix Recommendation Root Alarm Identification Root Alarm Evidence CX-Based Alarm Prioritization Probable Cause Categorization Big Data Analytics & Machine Learning Streaming Analytics, Advanced ML Algorithms Data Enrichment Correlation, Classification, Context Real-Time Streaming Data Ingestion Cleansing, Wrangling, Formatting Subscriber Metadata Network Engineering Real-Time Notifications, Real-time Dashboards, AutoTicketing, Recommended Actions, Autonomous Actions Multi-Domain Root Cause Analysis Operation Systems Alerts & Alarms 2 1 Customer Care Field Operations Network Telemetry Network Management Impending Failure Prediction Autonomous Anomaly Detection OSS/BSS Database s