The document discusses the integration of IoT and machine learning, highlighting its potential to drive business value through data-driven decision making. It presents various use cases, including predictive maintenance in industries such as automotive and oil & gas, showcasing significant operational improvements and cost savings. The emphasis is on creating a connected ecosystem that maximizes insights and actions through advanced analytics.

1. “The Art of the Possible”: IOT & Machine Learning
Tripti Sethi
Women in Technology Conference
March 2017

2. ©2016 Avanade Inc. All Rights Reserved.
Agenda
 Meet Avanade Analytics
 Tying together the Internet of Things and Machine Learning
 Exploring the “Art of the Possible”: Inspiring Use Cases
2

3. ©2016 Avanade Inc. All Rights Reserved.
Avanade represents a 15 year, Power of Three alliance delivering client value
9 consecutive Microsoft Alliance Partner of the Year wins
$2B+ in revenue
18,500 Microsoft certified professionals
3

4. ©2016 Avanade Inc. All Rights Reserved.
Analytics helps businesses drive value through data driven decision making
[ˌanəˈlidiks]: NOUN
The means by which one can inform or be informed to make a decision or take an action
Amazon, Facebook
recommend products
Your bank notifies you of a
potential credit card fraud
Doctors predict
treatment outcomes
Insurers rate policies in
minutes rather than weeks
All these require analytics and machine learning solutions
Make a decision. Drive a decision.
 What decisions does your client | business need to make?
 What decisions does your client | business want their customers to make?
Machine learning automates analytical model building
Machine learning represents algorithms that iteratively learn from data to find hidden insights without being
explicitly programmed where to look
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5. ©2016 Avanade Inc. All Rights Reserved.
3000+
man years of Analytics
experience
Meet Avanade Analytics
Avanade
Analytics
Analytics Experience
specialization where data
visualization and data
interpretation
drive business
insight
Industry &
Technology
accelerators to
jumpstart &
accelerate delivery
43%
of our customers are
in the Global 500
Analytics for:
Internet of
Things
Managed Services
for On-Premise,
Cloud and Hybrid
environments
Analytics
as a Service
Analytics
Application
Development
Factory
Analytics
Innovation
Lab
Industry leading
Avanade Modern
Analytics Platform
On Azure
70
Locations
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Countries
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Analytics customers
across all industries
4000+ Analytics professional WW
1000+ Data Engineers & Scientists
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Analytics:
driving digital
innovation and
business outcomes
5

6. ©2016 Avanade Inc. All Rights Reserved.
The journey from data to insight to action involves four simple steps
UNIFYING Data ENRICHING Data
ENABLING
Experience
UNLOCKING INSIGHT
via Analytics
UNIFYING the data that
matters to shatter data silos
and connect your business
with your customers
ENRICHING that data with
more data from trusted 3rd
party sources to expand insight
UNLOCKING insights
and providing them to
every person and app
that needs it
ENABLING plans and
actions based on
insights, not guesses
6

7. ©2016 Avanade Inc. All Rights Reserved.
Agenda
 Meet Avanade Analytics
 Tying together the Internet of Things and Machine Learning
 Exploring the “Art of the Possible”: Inspiring Use Cases
7

8. ©2016 Avanade Inc. All Rights Reserved.
Why is the Internet of Things (IoT) so relevant today?
What’s being said about
the potential for IoT
 Gartner: “By 2020 25
Billion connected devices”
 McKinsey: “the market for
IoT could reach $11
trillion by 2025”
 Machine generated data is
growing by 15x
8
2020
4
Billion
$4
Trillion
25+
Million
25+
Billion
50
Trillion
Connected
People
Revenue Opportunity Apps Embedded and
Intelligent Systems
GBs of Data
What’s the value of IoT to your business?

9. ©2016 Avanade Inc. All Rights Reserved.
Connecting devices, sensors and systems to collect IOT data and using
machine learning to analyze it can uncover game-changing insights
Intelligent Products and Resources
 To create a connected IoT ecosystem that maximizes business value,
all the right pieces need to be connected: technologies, data,
process, insight, action and people
 The capture and consolidation of IOT data and application of
specialized advanced analytics & alerts improves the efficiency of
operations resulting in improved planning, uptime, and production
Communicate via
an IOT platform
and notifications
and alert engine
Analyze
and Visualize via
advanced analytics
& machine learning
Sense and Act via
sensors and other
data sources
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10. ©2016 Avanade Inc. All Rights Reserved.
Predictive maintenance uses machine learning to predict equipment failure
before it happens to help businesses take preventive actions
Condition Based Maintenance on
IOT Data
Business ImpactAdvanced Analytics & Machine
Learning
 What is the probability that an equipment will fail in the near future?
 What is the remaining useful life of the equipment?
 What are the causes of failures and what maintenance actions should be performed to fix these issues?
What Business Questions are Answered?
Upto 75% reduction in breakdown
elimination
Sources: http://reliabilityweb.com/articles/entry/unleash_the_power_of_predictive_analytics
10
35%-45% downtime reduction
20%-30% maintenance & inventory
cost reduction
Reduced travel costs
Simplified spare parts management

11. ©2016 Avanade Inc. All Rights Reserved.
Agenda
 Meet Avanade Analytics
 Tying together the Internet of Things and Machine Learning
 Exploring the “Art of the Possible”: Inspiring Use Cases
11

12. Premium Car Brand
Predictive Maintenance on camshaft drive
chain failures
Realized cost
savings through
predictive
maintenance
Increased
Customer
Satisfaction
Big Data Platform to ingest, analyze and process massive
car sensor data
Predict extensions of camshaft drive chains and identify
potential root causes
Recommend predictive maintenance action to replace or
adjust camshaft driving chains during routine workshop
Reduce visits to save costs, warranty cases and increase
customer satisfaction
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13. Large Oil & Gas Company
Prediction of equipment failure to reduce
costly, unscheduled downtime
Collecting and Ingesting IOT data from 10,000 wells
across 700 facilities and 500 fields
Predictive and real time event detection for pump failure
in hours, days or weeks based on historic and current
streaming sensor information from ESP lifted wells
Helped the client understand the precursors of failures
and optimize logistical maintenance scheduling around
well maintenance and repair
3 months to value with a 10% reduction in downtime
and 20% reduction in operational costs
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14. Williams Martini Racing
A tire optimization application to mine data
for real time insight
Connected Formula One cars with 1000 different
channels of data coming off a car generating 60-80 GB
worth of data from each car over the whole race
weekend
A tire optimization application to isolate the
performance of its tires from the raw lap time data it
receives during races by the use of proprietary
algorithms
Unlocking the value of existing data in an intuitive,
highly visual interface to help improve car design and
track performance as well as empower Williams’ staff to
make better, data-driven decisions.
Real-time collaboration on data between Williams
staff at headquarters and trackside anywhere in the
world with strategists now spending 10% of their time
manipulating data vs. 70% before
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15. ©2016 Avanade Inc. All Rights Reserved.
Using biometrics to add science to Williams Martini racing pit stops
https://www.youtube.com/watch?v=U7wEsFrGcWM
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