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AI & automation:Tackling the human challengeSaša NijemčevićHead of Network and Services Management

FutureNet World, March 2019

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Challenging the status quoExpectations are changing

Hours

& days

Seconds &

minutes

Automation

Create, deploy and restore services more rapidly

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Machine-assisted human activity

Repetitive tasks Creative tasks

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Machine-assisted human activityCreating time for more creative tasks

C R E AT I N G T I M ERepetitive tasks Creative tasks

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Adoption of technology: The accelerated pace of changeUpskilling needed

Technical skills

AI/ML, NFV, programmability,

DevOps, open source, Netconf,

YANG, model-driven, …

Soft skills

Complex problem solving, critical

thinking, creativity, coordinating

with others, people management,

negotiation, emotional

intelligence, …

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Roadblock on the automation journey

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Automation can help!

Small mistake…… big impact!

90 minutes to solve the issue

Monday's outages reinforce how precarious

connectivity really is, and how certain aspects of

the internet's architecture—offering flexibility and

ease-of-use—can introduce instability into what

has become a vital service.

“

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ConfidenceTrust but monitor and keep control

Full automationManual validation

Roll back

Pause

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Insight-driven automationClosing the loop between intent and outcome

Analytics Network

Control

• Programmable carrier SDN

• Software programmability

• Flow-driven telemetry

• Analytics correlation engine

• Deduction & recommendation

Information

ActionInsight

Intent

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Automation at every stage of the network lifecycle

Zero touch

provisioning

Anomaly prediction &

automated resolution

Automated traffic

steering

Traffic

optimization

Service

provisioning

Network

assurance

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Service

provisioning

Network

assurance

Traffic

optimization

Zero touch

provisioning

Anomaly prediction &

automated resolution

Automated traffic

steering

Automation at every stage of the network lifecycle

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Benefits • Improve network availability

• Fix problems before they arise

• Detect silent failures

• Accelerate troubleshooting

…and get better with time!

Network and service assuranceArtificial Intelligence and Machine Learning

Problem It’s impossible to process the

volume, velocity and variety of

streaming data to anticipate

or fix network issues

Real-time data

• Alarms

• Test results

• Environmental data

• Route, state and

configuration changes

Network

Events storm

Network state

• Equipment inventory

• Configuration

• Network topology

• Service topology

Operator

Recommendation

Manual

Action

Automated

Feedback=

Learning!

Solution Let the machine learn how to

correlate events to assist in

predicting, detecting and solving

incidents

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raw events per day29 000 situations per day10

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raw events per day29 000 situations per day10

Classification &

recommendation

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Great potential for Automation and AI

• Making the network more responsive

• Completing complex tasks

Their implementation is more a human than

technical challenge

• A shift in mindset and skills required

• Visibility and control are key

for human to feel more comfortable and

for machines to make the right decisions

Summary

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Questions?