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PUBLIC
Shailendra Kumar, Chief Evangelist, SAP
October 10, 2018
Becoming an Intelligent Enterprise to
Make Money Out of Data
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Changing Times
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The Digital Era is evolving into The Intelligence Era
ENABLING TECHNOLOGIES
CUSTOMER VALUE CREATION
• Mobile & Smartphone ubiquity
• Cloud Computing• Social Networks• Big Data
Cloud, Mobile & Big Data2000s - 2010s
Digital Transformation
• Widespread PC adoption• Broadband Internet• ERP and business process
technologies
Client Server & Internet1990s - 2000s
Business Process Automation
Mainframe & PCs1960s – 1980s
• Transistors & silicon revolution
• Large scale Mainframe Computing adoption
• Emergence of PC’s• Plant floor automation
Industrial Automation
• Machine learning (ML) and artificial intelligence (AI)
• Internet of things (IoT) and distributed computing
• Blockchain
Intelligent Technologies2010s - 2020s
Intelligent Enterprise
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The ability of a machine, to facilitate interactions with humans & machines, by utilising unstructured,
semi-structured or structured data. The process also involves the application of self-learning or
machine learning models for predicting outcomes beforehand
Hu
ma
n In
tera
cti
on
s
Structured Data
Semi-Structured
Data
UnStructured Data
Ma
chin
e L
ea
rnin
g
Bringing it all together
Data Center
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Motor accident can cause a lot of grief and claiming process can be scary
Weeks to Examine / Manual Process
Policy Holder meets with an
accident
Calls the Call Center, waits
in the Call Queue
Surveyor is assigned who
assesses the vehicle
Surveyor sends report to
the repair garageRepair work is done
• The accident process requires manual intervention insurance companies human capital to
evaluate the amount of damage on the car involved in an accident, which is both expensive
and time consuming
Tra
ditio
nal
Motor Claim Process
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Insurance companies are now utilising advanced analytics techniques like
deep learning to change customer experience, saving huge amount of
money along with providing a seamless experience to their customers
Completed in minutes
Policy Holder meets with an
accident
Take pictures & uploads to
website, tow truck on its way
Deep Learning techniques are applied to collected Pictures,
Weather data, GPS data to evaluate the extent of damage within seconds. Report is sent to garage before the car arrives
Repair work is done
• Insurers are now able to save tens of millions of dollars just by applying these innovative technique
Inn
ova
tive
Value through innovation $10M +
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What is an Intelligent Enterprise?
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The Intelligent Enterprise
1
2
3
Intelligent Suite
Intelligent Technologies
Digital Platform
THE INTELLIGENT ENTERPRISE features 3 KEY
COMPONENTS:
AI/ML | IoT | Analytics
CustomerExperience
Manufacturing& Supply Chain
Digital Core PeopleEngagement
Network & SpendManagement
Intelligent Technologies
Digital Platform
DataManagement
CloudPlatform
Intelligent Suite
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AI Definition 2018
Internet
of Things
Big Data
Data
Intelligence
Blockchain
Analytics
Machine
Learning
Orchestration
Automation
( RPA)
Artificial
Intelligence
Machine
Learning
Conversational
Bots
“The orchestration of a set of knowledge-embedded technologies
when used together augment or automate a complete task
of a specialist or a professional knowledge worker”
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Structured and active Unstructured and dark
Data that’s coming
• Customer records
• Transactional systems
• Predictive models
• Institutional expertise
• Operational systems
• News
• Events
• Social media
• Weather
• Geospatial information
• Internet of Things (IoT)
• Sensory data
• Images
• Video
Data outside your firewallData you possess ++
by 2020 over 70% of all enterprise’ data will come from non-transactional sources
Semi-Structured
Additionally, Data Types are Growing Intelligent Systems require bi-directional integration and speed
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Business
Process
Intelligent
Insights
Data is being used to create
processes for digital transformation
and AI will help answer data questions
Digital Transformation Collapses Processes into DataAn integrated Data Ecosystem changes everything
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Google Data Center Optimisation
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Every five minutes, the cloud based algorithms pulls a snapshot of the data
center cooling system through thousands of sensors
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The information is fed into deep neural network models which then predicts
the future of energy efficiencies and temperature based on proposed actions
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The model then selects the best action that satisfies the safety constraints
and minimizes future energy consumption
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Optimal actions are then sent back to the data center, where the local system
verifies them against its own safety constraints before implementation
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It’s now delivering energy savings of 30 percent on average, compared to the
data centers’ historical energy usage
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Cirque Du Soleil
PUBLIC
We have a huge opportunity to shape the future together
Contact information:
▪Shailendra Kumar
▪Chief Evangelist Analytics | Leonardo
@meisShaily
linkedin.com/in/shaily
CognitiveToday.com
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