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42

The Sky’s the Limit – The Rise of Machine Learnin

Jun 19, 2015

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Inside Analysis

The Briefing Room with Analyst Dr. Robin Bloor and SkyTree
Live Webcast on June 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=1da2b498fc39b8b331a5bbb8dea2660f

With data growing more complex these days, many organizations are looking for ways to make sense of new information sources. The goal? Sprint ahead of the competition by exploiting fast-moving opportunities. The challenge? The data volumes, variety and velocity call for significantly greater horsepower than ever before. That’s where machine learning comes into play, and it’s already fundamentally changing the Big Data Analytics landscape.

Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how advanced analytics technology can transform the enterprise. He’ll be briefed by Martin Hack, CEO of Skytree, who will tout his company’s machine learning solution for big data. Hack will discuss the critical challenges facing today’s data professionals, and present use cases to show how machine learning can help organizations leverage big data as a capital asset. He’ll specifically address the power of predictive analytics, which can help companies seize opportunities and prevent serious problems.

Visit InsideAnlaysis.com for more information.
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Transcript
Page 1: The Sky’s the Limit – The Rise of Machine Learnin

Grab some coffee and enjoy the pre-show banter before the top of the hour!

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The Briefing Room

The Sky’s the Limit – The Rise of Machine Learning

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Twitter Tag: #briefr

The Briefing Room

Welcome

Host: Eric Kavanagh

[email protected] @eric_kavanagh

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Twitter Tag: #briefr

The Briefing Room

!   Reveal the essential characteristics of enterprise software, good and bad

!   Provide a forum for detailed analysis of today’s innovative technologies

!   Give vendors a chance to explain their product to savvy analysts

!   Allow audience members to pose serious questions... and get answers!

Mission

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Twitter Tag: #briefr

The Briefing Room

Topics

2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room

This Month: ANALYTICS & MACHINE LEARNING

July: INNOVATIVE TECHNOLOGY

August: BIG DATA ECOSYSTEM

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Twitter Tag: #briefr

The Briefing Room

Analyst: Robin Bloor

Robin Bloor is Chief Analyst at The Bloor Group

[email protected] @robinbloor

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Twitter Tag: #briefr

The Briefing Room

Skytree

! Skytree offers a machine learning platform that focuses on advanced analytics

! Skytree Server includes data setup and predictive analytics modeling, and it can be installed across a cluster, locally or in the cloud

! Skytree Server is Hadoop-ready and certified on Cloudera 5

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Twitter Tag: #briefr

The Briefing Room

Guest: Martin Hack

Martin Hack is President, CEO & Co-Founder of Skytree. Mr. Hack has 20 years of experience creating new technology products, services and strategies. He has launched game changing products, driven worldwide strategies and helped set de-facto industry standards. As an expert on Trusted Computing, Virtualization and High Performance environments he became a sought-after advisor to Fortune 500 companies and government organizations. He has been involved in all aspects of the product life cycle including engineering, product management, marketing, business development and sales. He also developed and introduced products and services into commercial and government segments for organizations such as Sun Microsystems, SonicWALL and GreenBorder (acquired by Google).

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THE MACHINE LEARNING COMPANY ® 10

Game Changing Analytics with !Machine Learning

!

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THE MACHINE LEARNING COMPANY ®

SAME DATA. BETTER RESULTS.

MARTIN HACK CEO [email protected] !

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THE MACHINE LEARNING COMPANY ®

Machine learning: !The modern science of finding patterns and making predictions from data:!

!multivariate statistics, data mining, pattern recognition, advanced/predictive analytics!

Our Vision

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THE DATA DRIVEN ENTERPRISE POWERED BY MACHINE LEARNING

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THE MACHINE LEARNING COMPANY ®

Machine Learning is a Strategic Imperative!50’s-70s Mid 90’s - Today 80’s-90’s

13

1st Wave: Artificial Intelligence Pattern Recognition

Universities

Technology Evolution!

Application Evolution!

2nd Wave: Neural Networks

Data Mining

Science Credit scoring

OCR

Now: Machine Learning on Big Data

3rd Wave: Machine Learning:

Convergence

Sales / Marketing Finance Biotech Retail Telco

Government

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THE MACHINE LEARNING COMPANY ®

What Has Changed? !

Arrival of Big Data!o Leading companies no longer have small data !

!!

Companies now compete on predictive analytics !

o Accuracy = $  !o Speed = $    !

•  BUT these are computationally limited (in current systems)      !!

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THE MACHINE LEARNING COMPANY ®

Most Popular Machine Learning Applications!

15

Real-time!

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THE MACHINE LEARNING COMPANY ®

15,000% increase in Data Scientists job postings. (source: FICO)!140,000 – 190,000 open Data Scientists positions. (source: VentureBeat)!

!16

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The War Of The Algorithms!

!q  Best Algorithm wins!q  Zero Sum Game, Winner Takes all!q  There is no second place!

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THE MACHINE LEARNING COMPANY ®

Global Leaders Select Skytree

WORLD’S  LEADING:  

Anomaly detection

Logis3cs  &  Shipping  Content recommendation

Consumer  Electronics  

On-board destination recommendation

Automobile  

Web  Portal  Ad targeting

Customer lead scoring, fraud, credit risk scoring

Financial  Services  &  Credit  Card  

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THE MACHINE LEARNING COMPANY ®

Operations Optimization !

•  Business Challenges:!–  Healthcare organizations often staff!for peak load.!

•  Very expensive, not driven by data &!predictive analytics.!

•  Business Opportunities: !–  Several leading healthcare organizations are working with Skytree to apply Machine

Learning & Predictive Analytics to staffing schedules.!»  Will optimize utilization and minimize cost.!»  Will allow for the redeployment of resources to other locations (related

hospitals/clinics/labs) for better utilization.!

!

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THE MACHINE LEARNING COMPANY ®

Lead Scoring!

•  Business Challenges:!–  Leading businesses need to improve!their lead targeting methods.!

•  At present, businesses are approaching many !attractive customers w/ campaigns that do not resonate !with the target, and !•  businesses are approaching customer prospects!who are less attractive than their analysis indicates.!

–  Result: They often miss on truly attractive customer leads and win customers who are not the most profitable. !

•  Business Opportunities: !–  Skytree is enabling next generation lead generation for a leading financial services

organization.!

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THE MACHINE LEARNING COMPANY ®

Use Case: Micro Targeting!

Speed = Accuracy = Revenue Global Financial Institution!

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1,250x Speedup

BEFORE:!

1,200 Cores @100 Nodes !Runtime: 100 Minutes!Accuracy: 57%!

100!

Runtime (minutes)!

12 Cores @1 Node!!Runtime: 8 Minutes!Accuracy: 60%!

NOW: SKYTREE!

8!

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THE MACHINE LEARNING COMPANY ®

Fraud Detection!

•  Business Challenges:!–  Fraud perpetrators continue to get more sophisticated.!

•  The issue has exceeded the ability of investigators & !analysts to manage the issue.!

•  Business Opportunities: !–  Skytree is working with customers to apply Machine Learning & Predictive Analytics

to:!»  Better anticipate & detect fraud,!»  Mitigate impact,!»  Improve detection systems over time.!

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THE MACHINE LEARNING COMPANY ® 23

Self-Aware Algorithm Selection ­Examines the context of your data and selects the best fitting algorithm from our extensive algorithm library.  

Information Auto Sensing   ­Automatically detects whether your data is text, table, series (time series, forecasting) or network data, ­just point and click.  

Instant Interactive Reports   ­Generates science-based, interactive reports that are defensible and "Boss Ready".

Ease of Use – Smart Machine LearningAutomation through AI!

Graphical user interface

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THE MACHINE LEARNING COMPANY ®

Machine Learning = Faster Time to Insight!

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Skytree Machine Learning Better, Faster Results

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THE MACHINE LEARNING COMPANY ® 25

Company Overview!

Prof. Michael Jordan, UC Berkeley: machine learning ‘godfather’!Prof. David Patterson, UC Berkeley: systems (inventor RISC, RAID)!Prof. Pat Hanrahan, Stanford: data visualization (Tableau, Pixar)!Prof. James Demmel, UC Berkeley: high-performance computing (LAPACK)!

TECHNICAL !ADVISORY!

BOARD!

EXECUTIVE TEAM!

Martin Hack, CEO & Co-Founder Sun, GreenBorder (Google)!

Prof. Alexander Gray, PhD, CTO & Co-Founder National Expert on Large-Scale, Fast ML Algorithms!

Prof. Leland Wilkinson, PhD, VP Data VisualizationCreator of Grammar of Graphics, SYSTAT (SPSS/IBM)!

Burke Kaltenberger, VP Worldwide Field Operations Infochimps/CSC, MapR, ParAccel!

Jin H. Kim, PhD, VP MarketingTom Sawyer Software, Vitria, Mentor Graphics!

Jon Skogland, VP Finance Silicon Graphics, Kontagent, Intuitive Surgical!

!

!

!

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THE MACHINE LEARNING COMPANY ®

Skytree Hadoop Distribution Architecture!

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1.x

HDFS and MAPR Data Platform

Spark

2.x/YARN

ZooKeeper

Web Services Graphical User Interface

Data Sources / Targets

OLTP / EDW

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THE MACHINE LEARNING COMPANY ®

Skytree Server Enterprise ready and easy to deploy!

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Big Data Sources •  Flat files •  Data Warehouse •  RDBMS •  NoSQL •  Hadoop

Outputs •  Business

reports •  Systems

monitoring •  Client

application

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THE MACHINE LEARNING COMPANY ®

Demo!

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THE MACHINE LEARNING COMPANY ®

SAME DATA. BETTER RESULTS.

Thank You. !

29

MARTIN HACK CEO [email protected] !

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Twitter Tag: #briefr

The Briefing Room

Perceptions & Questions

Analyst: Robin Bloor

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Machine Learning!?

Robin Bloor, Ph.D.

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There MAY be some Big Data applications that are not about

data analytics.

Big Data and Analytics

If so, nobody is talking about them…

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The Driving Force: Insight

Insight comes from

DATA EXPLORATION

Foresight

Oversight Hindsight

INSIGHT

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The Latency Issue

u  In data analytics latency is time to value…

u Traditional analytic latencies: •  Data access •  Data preparation •  Model development •  Execution •  Implementation •  Model audit & update

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Computer vs. Human

First they beat us at chess.

Then they beat us at Jeopardy.

Now they’re gonna beat us at running

a business!

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The Impact of Machine Learning First you need to organize for it

Then you need to architect for it Then you need to test and experiment Then you need to DEPLOY!

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The Future of Analytics

There is no question that machine learning will dominate data analytics

The question is: Who will implement it EARLY and

implement it WELL?

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u  Some people recommend a gradual approach to increasing BI sophistication. They suggest that the next step for most organizations is predictive analytics. What do you think?

u  Do you need “Data Scientist” skills to properly exploit machine learning?

u  What is the typical design and implementation process?

u  Why not just use the open source code that is available?

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u  What is your performance advantage? Please provide details.

u  Are there areas of data analytics where machine learning is not applicable?

u  How does this capability integrate with existing BI solutions?

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Twitter Tag: #briefr

The Briefing Room

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Twitter Tag: #briefr

The Briefing Room

Upcoming Topics

www.insideanalysis.com

2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room

This Month: ANALYTICS & MACHINE LEARNING

July: INNOVATIVE TECHNOLOGY

August: BIG DATA ECOSYSTEM

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Twitter Tag: #briefr

The Briefing Room

THANK YOU for your

ATTENTION!