iot & machine learning

“The Art of the Possible”: IOT & Machine Learning

Tripti Sethi

Women in Technology Conference

March 2017

©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

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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

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Analytics helps businesses drive value through data driven decision making

[ˌanəˈlidiks]: NOUNThe 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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3000+ man years of Analytics experience


AvanadeAnalytics

Analytics Experience specialization where data visualization and data interpretationdrive 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

Analyticsas a Service

Analytics Application Development Factory

AnalyticsInnovationLab

Industry leading

Avanade Modern Analytics PlatformOn Azure

70 Locations

22Countries

550+ Analytics customers across all industries

4000+ Analytics professional WW

1000+ Data Engineers & Scientists100+ Big Data Consultants

Analytics: driving digital innovation and business outcomes

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The journey from data to insight to action involves four simple steps

UNIFYING Data ENRICHING DataENABLINGExperience

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

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Agenda




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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 15x8

20204

Billion$4

Trillion25+

Million25+

Billion50

Trillion

ConnectedPeople

Revenue Opportunity Apps Embedded andIntelligent Systems

GBs of Data

What’s the value of IoT to your business?


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 notificationsand alert engine

Analyze and Visualize via

advanced analytics& machine learning

Sense and Act via sensors and other

data sources

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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

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35%-45% downtime reduction

20%-30% maintenance & inventorycost reduction

Reduced travel costs

Simplified spare parts management

http://reliabilityweb.com/articles/entry/unleash_the_power_of_predictive_analytics


Agenda




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Premium Car BrandPredictive 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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Large Oil & Gas CompanyPrediction 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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Williams Martini RacingA 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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Using biometrics to add science to Williams Martini racing pit stops

https://www.youtube.com/watch?v=U7wEsFrGcWM

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http://players.brightcove.net/2103045685001/ryfVT8tf_default/index.html?videoId=4109302667001

http://players.brightcove.net/2103045685001/ryfVT8tf_default/index.html?videoId=4109302667001

https://www.youtube.com/watch?v=U7wEsFrGcWM

Thank You!