ieg 201402 flutura m2m data science

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Information Excellence Group 2014 Spring "Business Analytics Industry Summit", M2M Data Science, Ganesh Parthasarathy, Sr Director, FLUTURA

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Page 1: IEG 201402 Flutura M2M Data Science
Page 2: IEG 201402 Flutura M2M Data Science

FLUTURA:

Unlocking the

M2M

Data ScienceGanesh

Parthasarathy

Page 3: IEG 201402 Flutura M2M Data Science

Unlocking The Next Industrial Revolution – M2M Data Science

Flutura Decision Sciences and Analytics

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DATA SCIENTIST

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FLUTURA’S PACK OF DATA SCIENTISTS

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What my mom thinks I do

What my friends thinks I do

KEEP CALM AND DIG DEEP INTO

DATA

What I actually do

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3 HATS OF A DATA SCIENTIST

MATH TECHNOLOGY BUSINESS

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Smart

Infrastructure No span of steel will tolerate…neglect. But if service by generations who use it and spared manmade hazards, such as war, it should have life without end

- Joseph Strauss, Chief Architect, Golden Gate Bridge

7

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Tension

Temp

Service Strain

Incline

Behind the Scenes

Integrity Monitoring

• Alarm Patterns • Strain Trends • Maintenance Data

Raw Data Hypothesis

testing

EDA

Load Balancing • Equilibrium • Load point cluster • Prediction Models

Preventive Maintenance

• Damage Detection • Classification • Real time Alerts

Page 11: IEG 201402 Flutura M2M Data Science

Smart Infrastructure

Integrity Monitoring

• Alarm Patterns • Strain Trends • Maintenance Data

Load Balancing • Equilibrium • Load point cluster • Prediction Models

Preventive Maintenance

• Damage Detection • Classification • Real time Alerts

Page 12: IEG 201402 Flutura M2M Data Science

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Smart Assets powered by Cerebra

“Enabling strong responses to weak signals at the last mile” is the key to sustainable “Zero unsafe behaviours and conditions” and to ensure our People are safe, our Environment is protected, our Assets are secure, and indeed our Reputations are intact - Srikanth M, Co-Founder of Flutura

Page 13: IEG 201402 Flutura M2M Data Science

Voltage

Temp

Crrnt Events

Service

Behind the Scenes

Raw Data

Hypothesis testing

EDA

Device Safety

• How healthy is the device? • Which device needs

attention? • Is there any device that are

critical? • Which parameters are

making the device unhealthy?

Page 14: IEG 201402 Flutura M2M Data Science

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Smart Grids powered by Cerebra

"An analysis by the Electric Power Research Institute estimates that the implementation of smart grid technologies could reduce electricity use by more than 4 percent by 2030. That would mean a savings of $20.4 billion for businesses and consumers around the country..." - President Obama White House Press Release- October 2009

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Smart Meter

DTR

SCADA Tamper Events

Outage Events

Behind the Scenes

Raw Data

Hypothesis testing

EDA

Peak Load Stress

• You can save 3% on your energy bill for every degree you lower your thermostat

• U.S. power plants emit roughly 2.4 billion tons of CO2 per year, approximately 40% of the nation’s total global warming pollution

Frequent Outages

• $188 Billion estimated value of economics losses per year in USA

• July 2012 India blackout was the largest power outage in Indian history

• 620 million people, about 9% of the world population

Page 16: IEG 201402 Flutura M2M Data Science

Smart Grids

Peak Load Stress

• You can save 3% on your energy bill for every degree you lower your thermostat

• U.S. power plants emit roughly 2.4 billion tons of CO2 per year, approximately 40% of the nation’s total global warming pollution

Frequent Outages

• $188 Billion estimated value of economics losses per year in USA

• July 2012 India blackout was the largest power outage in Indian history

• 620 million people, about 9% of the world population

Page 17: IEG 201402 Flutura M2M Data Science

M

FLUTURA’S M2M MANTRAS

M M

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Mantra-1 : Think “MVP-Minimum Viable Product”

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Mantra-2 : Think “Biz backward … NOT Tech forward”

1. What is the business problem you are solving ? Tightly framed ?

2. Why is important to solve this problem ?

3. Is the business pain acknowledged ?

4. How would the end user “feel”?

5. Are budgets allocated ?

6. What is the actual use case to solve the pain ?

Connect with business @ a deeper level !

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Mantra-3 : Think “Data Signatures”

• Text Mining

• Collaborative Filtering

• Scoring Model

• Clustering

• Decision Trees

ML Algorithm can SPOT many Signatures

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Mantra-4 : See Value in the Data

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Mantra-5 : Think “Triangulation”

The “Real Juices”

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Mantra-6 : Think “Data Products”

Focus on Actions Not Just Insights

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Mantra-7 : “It’s not only science”

End User is always a human being

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It’s not only science Data Products

Triangulation

Biz backward … NOT Tech forward

Data Signatures

See Value in the Data

FLUTURA’S M2M MANTRAS

Minimum Viable Product

ANY QUESTIONS?

Email: [email protected]

Page 26: IEG 201402 Flutura M2M Data Science

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Knowledge Share

Accelerated Learning

Collective Excellence

Distilled Knowledge

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Validation / Brainstorm platform

Mentor, Guide, Coach

Satisfied, Empowered Professional

Richer Industry and Academia

About Information Excellence Group

Progress Information Excellence

Towards an Enriched Profession, Business and Society

Page 27: IEG 201402 Flutura M2M Data Science

About Information Excellence GroupReach us at:

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