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Copyright 2016, Microsoft Corporation Advanced Analytics and Machine Learning: Examples from other business disciplines. Bill Jacobs – Microsoft Advanced Analytics

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Page 1: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

Advanced Analytics and Machine Learning: Examples from other business disciplines.Bill Jacobs – Microsoft Advanced Analytics

Page 2: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Regarding Data…“Data is the New Electricity…”

…Joseph Sirosh, Corporate VP, Data Group, Microsoft

“Not so fast… data is more like fuel… fuel for generating knowledge. Statistical analysis is the power plant. Knowledge is the new electricity…”

…An anonymous guy in Joseph’s organization

Page 3: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Systems of Intelligence

Transform your products Engage your customers

Predictive Analytics Transforming Business

Optimize your operations Empower your employees

Page 4: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Capitalizing on a 1.6 trillion $ data dividend

Gains in $ BillionsIDC Data Dividend Study and Survey, N=2,020, April 2014

$235 $158 $456 $674 Product & Service

InnovationCustomer Facing Operations Productivity

Data DividendIncremental Gains Made by Leaders in Data and Analytics

Page 5: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

EXAMPLE SOLUTIONSAdvanced Analytics scenarios

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Copyright 2016, Microsoft Corporation

Some Examples

Page 7: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Cross-Industry AdoptionRetail & Consumer Products

Healthcare

Financial Services & InsuranceGovernmentManufacturing

Page 8: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

HealthCare

Fraud Prevention

Care Optimization

Bioinformatics

Page 9: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Transforming Healthcare with IoT and Analytics

https://youtu.be/-wVeHZNn8aU

Dartmouth Hitchcock Portal

Page 10: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Retail & CPG

Execution Optimization

Shrinkage & Loss PreventionCustomer 360 Experience360

Page 11: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Financial Services

Risk Analytics

Fraud Prevention

Customer Experience360

Page 12: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Government

Public Health

Transportation OptimizationRevenue Assurance€

Page 13: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Manufacturing

Predictive MaintenanceSupply Chain OptimizationQuality

Page 14: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

The Industrial IoT: A Data Deluge

Page 15: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

How are customers using analytics? • customers.microsoft.com

Page 16: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Predictive maintenance

We wanted to go beyond the industry standard of preventative maintenance, to offer predictive and even preemptive maintenance.ANDREAS SCHIERENBECKCEO, ThyssenKrupp Elevator

THYSSENKRUPP WANTED TO BOTH OFFER BETTER CUSTOMER SERVICE AND LOWER THEIR COSTS

Page 17: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

IoT Enabling Automotive Manufacturing

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Copyright 2016, Microsoft Corporation

Page 19: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

Page 20: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

Page 21: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

What’s new In the World?

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Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Kaizen • Kaizen – “Change for Good” – Toyota 1936

Deming • W. Edward Deming Prize – First Awarded 1951

SQC • Statistical Quality Control – 1970s

SPC • Statistical Process Control - 1980s

6ơ • Six Sigma – 1990s

IoT • IoT - Big Data – Predictive Analytics

Statistics In Manufacturing: Not New.

"PDCA Cycle" by Karn-b - Karn G. Bulsuk (http://www.bulsuk.com). Originally published at http://www.bulsuk.com/2009/02/taking-first-step-with-pdca.html - Own work. Originally developed for Taking the First Step with PDCA. Licensed under CC BY 3.0 via Wikimedia Commons -http://commons.wikimedia.org/wiki/File:PDCA_Cycle.svg#/media/File:PDCA_Cycle.svg

Page 23: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

• Burgeoning Data– Volume - Petabyte Repositories, Moving to Exabytes– Rate of Arrival – 10-100 TB / Day– Rate of Response

• Vastly Wide Data (50,000+ Features)– Marketing– Genomic Analyses

• Machine Learning Methods – Rapid Progress– Neural Networks Evolving– Image, Video, Speech Analyses

• Systems & Techniques for Tackling These

What IS New?

Page 24: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Cognitive Services

Page 25: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft CorporationCopyright 2016, Microsoft Corporation

Bot Framework - www.botframework.com

Page 26: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

Meet the Bots… Growing Collection

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Copyright 2016, Microsoft Corporation

Summary• Knowledge, not Data is Transforming Business• Burgeoning data is part 1 but predictive analytics is the key• Industries facing similar challenges may prove useful sources

– IoT – methods to deploy and manage very large sensor networks– CRM, Medicine & Biology – methods for analyzing highly dimensional data– Machine Learning – neural networks to automate human-quality inspection– Other Manufacturing Disciplines – best practices for predictive maintenance

• Microsoft as you can see, is “all in” on predictive analytics. Can we help you?

Page 28: Bill Jacobs Semicon Preso - SEMICON West | Smart … PowerPoint - Bill Jacobs Semicon Preso Author billjac Created Date 7/8/2016 5:49:33 PM

Copyright 2016, Microsoft Corporation

Some Additional Light Reading• The Data Deluge – The Economist -

http://www.economist.com/node/15579717• Dartmouth Hitchcock Healthcare Transformation – Microsoft -

https://blogs.microsoft.com/transform/2015/07/13/dartmouth-hitchcock-ushers-in-a-new-age-of-proactive-personalized-healthcare-using-cortana-analytics-suite/#sm.00001wjr8fp4ghdbkwet7ijbfp8j8

• Check out Kuka’s Automated Manufacuring at: https://www.microsoft.com/en-us/server-cloud/customer-stories/KUKA-robotics.aspx

• Using Big Data in Manufacturing at Intel’s Smart Factories – Intel (April 2016) http://www.intel.com/content/www/us/en/it-management/intel-it-best-practices/using-big-data-in-manufacturing-at-intels-smart-factories-paper.html