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Next Generation Automation – A Case Study Vikas Kukreja Sr. VP Head Automation Center of Excellence

Next Generation Automation A Case Study · eNodeB, Small Cell, DAS, Backhaul, FTTx, Wifi) Network Elements and Technology Multiple workflows for each stage in the network planning,

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Next Generation Automation – A Case StudyVikas Kukreja

Sr. VP

Head Automation Center of Excellence

Next Generation Automation - a case study

• Outlining the challenges for Mobile Network Operators

• Defining the key priorities with Network Automation?

• What are the main benefits of Automation?

• What does the evolutionary path from Manual to Automated Network Operations looks like?

• What is the ultimate goal of Network Automation?

NETWORK LIFE CYCLE MANAGEMENT SERVICES

Plan to Build Build to Operate Operate to Acquire

Campaign/LoyaltyManagement

Site RolloutManagement

Surveys &Field Collections

Field ForceManagement

ContractManagement

Fault & TicketManagement

Field Tests &Validations

ConfigurationManagement

ServiceAssurance

Product LifecycleManagement

Customer Care &Self-service

Channel partnerManagement

MaterialManagement

CustomerExperience

InventoryManagement

▪ Error prone manual data entry by fieldexecutives, with no validation at point ofinput

▪ Disparate systems used for data collection,validation, analysis and reporting

Data QualityManagement

▪ Frequent handovers between multiplestakeholders with unclear accountability

▪ Lack of visibility into project executionstatus across regions

ProcessManagement

▪ Huge task of managing a large on-fieldworkforce

▪ Employees, OEMs, Partners andoutsourced staff need to have a singlesystem for all transactions

Mobile WorkforceManagement

▪ Error prone Manual Reporting as thereis no database, but mostly a pdfrepository of checklists

▪ No Transparency as cannot track SLA /OLAs

Reporting

▪ Single system for rollout of multipletechnologies and Network elements (eNodeB, Small Cell, DAS, Backhaul, FTTx,Wifi)

Network Elements and

Technology

▪ Multiple workflows for each stage in thenetwork planning, construction,installation, commissioning andacceptanceWorkflows

PLAN TO BUILD CHALLENGES

Atoll

GIS

Asset

Mentum

PlanetTeMIP

NetCool

UNMS

Mycom

Aircom

NetAct

Drive Testing

Accuver

Tems

Nemo

PlanningPerformanceManagement

NE

Granite

Condis

NetckrackerEMS

K2

ARIS

Optimi

Aircom

Remedy

HPSM

BUILD TO OPERATE CHALLENGES

Limited ability to correlate events across Network functions to build a 360o view of User Experience

FaultManagement

Inventory &Topology

ConfigurationManagement Workflow

Optimization

Change Management

OPERATE TO ACQUIRE CHALLENGES

Customer ExperienceNo correlation of Customer KPIs with Service and Network KPIs

Customer Care No view of Network health to the customer Care agents

Churn ManagementNeed integrated Network and Customer view for Churn Management

Limited visibility to Customer experience

Network performance on the user device is the last-mile in Delivering a superlative user experience

ReceivedSignal Strength

UploadThroughput

Received SignalQuality

DownloadThroughput

End-Customer

KEY PRIORITIES FOR NETWORK AUTOMATION

“Real-time metrics & automation to maintain a high quality network for superlative customer experience”

One stop toolboxIntegrated toolkit for network

Management and analysis

Closed loop automationAutomating E2E problem

Resolution life cycle

Intuitive visualizationsAdvanced analytics andGIS based visualizations

Big Data analyticsCorrelate multiple dataStreams at huge scale

ScalableAble to scale horizontally with the growth of network and customers

Secure Access Easy and secure web Access from office, home or while travelling

Fast Response Fast response times motivating people to use the platform

User Management With roles and profiles to give access to all employees and partners

BENEFITS OF AUTOMATION

Transformational activity for every one connected to Network and Customers

Customer Carecan digitally engage with customers and resolve thecomplaints in first call with shorter call handling time

Planningcan make the investments based on verified impacts

Salescan monitor the channel sales and correlate it to network performance of that area

Network Operationscan focus on customer Impacting Issues andquickly resolve the most important incidents

Optimization teamcan Link Network behavior with Customer behavior via Analytics and in turn Improve customer experience

SCM team can digitize their procurement process a and manage contracts, POs, and warehouses to support networkfunctions

Better Network QualityDue to proactive identification

of network issues

Process Driven operationsNetwork operations less dependent

on the skill set of the engineers

Lower OPEXDue to reduced manpower

for network operations

TransparencyThe complete organization

sees the same data and reports

SMARTFREN AUTOMATION JOURNEY

Pursue Digital Transformation as Only digital will thrive

• Passive SDK for crowd sourcing

• Drive Testing

• Speed Tests

• Open and Intelligent

• Vendor and domain agnostic

• Automated and scalable Big data analytics platform

• Instant access to actionable insights, symptoms, root causes

& recommended actions

• Standardized Processes

• More Accountability and SLAs

• Automated

• Simplified & Rationalized

• Robust Task Management

• AI engine integrated with Foresight

• Social collaboration

• WIKI - Knowledge sharing

• Forums and Spaces

Next Generation OSS

Measure customer experience Siteforge Business Process Modelling platform

Mobile companion of Smartflow and ForesightTribe

Automation Intelligence & Workflow Orchestration

NetworkRoll-Out

Site Tower Management

Logistics and InventoryManagement

Document Management

Project Management

Workflow Management

Property Management

Rollout Management

Analytics and Dashboards

Knowledge Management

Team Management

SLA and OLA Managementwith Vendors

Coverage Layers

Boundaries & Morphology

Management

Network Topology

Coverage Holes

identification & Remediation

Big Data Cycle

Management Components

Over shooter &

Interference analysis

Analytics & Reporting

framework

Data Integrity, Operations

and monitoring framework

Regulatory &

compliance reporting

FORESIGHT INTEGRATED FEATURE SET

Customer

Care

Site

Visualizations

BPM & Workflow

Management

Muting

Analysis

Performance

Management

Configuration

ManagementCapacity

Management

Fault

Management

Customer based

Network Analytics

Trial

Management

DOMAIN & VENDOR AGNOSTIC FRAMEWORK

360 Network visualization Coverage Layer Capacity Management Interference mitigation

Change management Audit & Compliance User Management Small Cell Planning Customers QoE

PM CM FM Cell Traces D- SON

CountersAnd KPI

Parameter readand write

Trap &Alarms

GeolocatedEvents

Recommendations& Algorithms

Cross Domain(RAN, IP / Transport, Core)

Vendor Agnostic(Huawei, Nokia, Ericsson, ZTE, Cisco)

Infrastructure Tools

• Telecom Library• BI toolkit• BPMS

Platform Services

• Cross Domain co-relation• Closed loop automation• Integrated RCA

Parsers Protocol convertors Adaptors

Use caseRealizations

Service &VendorAbstraction

ProprietaryImplementation

Tribe App

Collaboration Wiki

Forums Tasks

NetVelocity App

Enterprise Consumer

Speedtests Drives

TECHNICAL ARCHITECTURE

Web Portal

Administration Interface

StreamsObservations,Alarms, UDRs

Batch FilesLogs, Counters,

Events

APIsMobile, Push,

Pull

Data StoresRDMS, Dumps,

Configs

Micro Services

ETLDesigner

RuleEditor

ProcessBuilder

MLStudio

BPMNModeler

GIS Visualizations

ConfigurationManagement

Rich Interactive UI

Application Server Gateway BI Engine

Business Logic &Services

Data Access, Caching &Validations

BPM WorkflowOrchestration

Data collection& preprocessing

API Integrations

GIS & Data Queries

GIS Visualization

ConfigurationManagement

Rich Interactive UI

Hadoop Cluster

Data Storage

Unstructured Structured

Raw Processed

Batch Analytics

DataProcessing

MapReduce

Algorithms Aggregation

Stream Processing

StructuredStreaming Structured

Raw Processed

RDBMS Cluster

Queues

Event Processing

Patterns

Time Correlation

Causality

Process Runner

Process Management

Provisioning Pipelining

Provenance Routing

Process Orchestration

Data Ingestion

Filters Transforms

Protocols Producers

AI/ML Toolkit

Build, Model & Integrate

Material Design

RESTful Web Service & SecurityOWASP Standards l SDX Compliant l SAML based SSO l Role based Access

DevOps FrameworkAudit l Balance l Control l Data Integrity l SLA tracking l Monitoring l Compliance l Real-time Insights

BIDesigner

FAULT MANAGEMENT

NOC Incident Manager

Active Alarm Visualization

• Active Alarm window

• Incident Management

• FM Trouble Ticketing

❖ Work force Management

• Alarm Correlation – Self, Suppression, Count,

Intermittent, Hanging cells, Sleepy cells

• Topology Correlation

• Spare Part Management

• Real Time alarm visualization for RF Engineers

• Active alarm and Alarm History reports

• Alarm Dashboard

❖ Network availability Reports

• MTTR Reports

COVERAGE LAYERS

• GIS map-based visualization for

Planned & On-Air Sites• Visualization of predicted layers imported from

planning tools for web display

• Measured coverage layer based on

Netvelocity Passive data

• Classification of Passive data of Netvelocity

based on algorithms• Visualization of competitor coverage

based on 2nd SIM of Customers phone

• Intelligent Coverage with Planned Prediction

Plots, Measured/Observed & Smoothened

estimates

Predicted Coverage Measured Coverage Intelligent Coverage

Measures network performance

where it matters, on the device

NETVELOCITY

Speed & Performance Test

Passive SDK

IP & Web Performance Tools

Youtube Analyser

Customer Care Enablement

Customer Experience Management

Layer 3 Analytics

Recipe Builder

SSVT Certification

In-Building Survey

Drive Test Capabilities

Competitive Benchmarking

Coverage

Analytics

Regulatory

Tooling

Wi-Fi

Analyzer

Visualization &

Analytical Layer

Multi-Technology

& Platform

Customer feedback &

Net Performance

Score

Device

Management

Enterprise Collaboration

TRIBE

TRIBE

People

Forum Spaces

Wiki

Documents Newsfeed

Tasks GenieKnowledge

Center Tools

Maintenance Network

Performance

Tickets

AUTOMATION LADDER

Deploy a scalablearchitecture

Collect all possible data ina single platform

Insure Data Integrity –Trusted source of Data

Automate Correlation –Dash boarding & Visualization

Enable teams to build theirown correlation logics

Apply Machine learningto drive new Insights

Integrity l Positive Attitude l Commitment l Continuous Improvement l Innovative l Loyal

Model

FORESIGHT - ORCHESTRATING AI/MACHINE LEARNING WITH BIG DATA

Orchestration ability of Machine learningAlgorithms over Big data

Out-of-the-box Integrationof industry prevalent AI& ML framework

Drag & drop interface to stitch flows thereby abstracting underlying complexities

Leverage all open source platforms & toolkits

Business Analyst Data Scientists Dev Ops Engg.

• Online Drag & Drop Interface• Data Wrangling/ETL/Correlations• Complex event processing & Rules• Integration adaptors & BI builder

Model Configure Monitor Audit

Forecast & Orchestrator ML Models

Forecasting

Scoring

Recommend

Clustering

AI / ML frameworkAnd libraries

Storage & processing Infrastructure

Dat

a Tr

ansf

orm

atio

ns

AP

ILaye

r

PredictiveAnalytics

IntelligentActions

Proactive Alerts

Visual Analytics

Kafka

AWS

3rd Party sys.

RDBMS

Al Driven ServicesIngestion & Enrichment

ImageStreaming

Retrieve FilterCriteria

Filter Image

Load Image ImageProcessing

Retrieve MataInfo

Persist Data

Notification

ContentSearch

Visual modeller & mgmt. interface

• Build, Model & Integrate• OOB Algo. implementations• Deployed to petabyte scale• Geo Spatial Correlations

Integrated AI/ML components

Coverage, HSI, & Voice

CEM

Collaboration Channel for Enhancing

WorkforceProductivity

SOCIAL TRIBE

Indoor/Outdoor Classification Engine

ADVANCEDGEOLOCATION

3D Indoor Planning

AUGMENTEDREALITY APP

MACHINELEARNING

HYPER-DENSECOVERAGE PLANNING

BEHAVIOURANALYTICSIdentify Social

Influencers for Churn

Automated Problem Understanding and

Response

GENIE MULTI-SOURCEDATA HACKING

PROBLEMNINJA

Artificial Intelligence enabled problem

identification

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Let’s discuss!Thank you