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1 © Nokia 2019
AI & automation:Tackling the human challengeSaša NijemčevićHead of Network and Services Management
FutureNet World, March 2019
2 © Nokia 2019
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?
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