Smart Data - The Foundation for Better Business Outcomes

Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Smart Data - The Foundation for Better Business Outcomes

Adrian Bowles, PhD

Founder, STORM Insights, Inc.

info@storminsights.com


4 Major Themes for This Series
Cognitive Computing
Smart Data and the Internet of Things
Smart Data Management
Transforming Business with Smart Data

(c) 2015 by STORM Insights, Inc.
Internet of
Everything
Analytics
Smart Data
Modern AI
Cognitive
Connections

Theme I. Cognitive Computing
“Cognitive computing is an approach to problem-solving using hardware or software that approximates the form or function of natural cognitive processes.”

0. Foundation
Experience-
Based
Learning
1. Learn
2. Interact
3. Expand
Integrate
Augmented/Virtual
Reality
Conﬁdence-
weighted
Reporting
Motivation
reﬂection
inference
Natural Cognitive Processes
deduction
Hypothesis
Generation
&Testing
reasoning
Natural
Language Processing
Cloud
…
Analytics
Data Management
Neuromorphic
Architectures
Learning
Perception
A Framework for Cognitive Computing
Copyright (c) 2015-2016 by STORM Insights Inc. All Rights reserved.

Machine Learning

Human
Sensors/

Systems
Infrastructure
Input Output
Data

Management
Alt/Neuromorphic

Hardware
Professional

Services
Machine Learning
Metamind
IBM
Ersatz Labs
Scaled
Inference
Microsoft
IP Soft
Numenta
Digital Reasoning
Google
Nervana Systems
BigML
Sentient
Technologies
VicariousSkymind wise.io
Dato
Kimera SystemsH2O
LoopAI Labs
AIBrain

Machine Learning
Human
Sensors/

Systems
Infrastructure
Input Output
Visualization
Narrative Generation
Voice/NLP
Video/Images
Reports
Gestures
Emotions
Text/NLP
Surface Structured Data
Reports
Data

Management
Alt/Neuromorphic

Hardware
Professional

Services

Machine
Learning
Human
Sensors/

Systems
Infrastructure
Input Output
Voice/NLP
Gestures
Emotions
Data

Management
Alt/Neuromorphic

Hardware
Professional

Services
Video/Images
Text/NLP
Reports

Machine
Learning
Human
Sensors/

Systems
Infrastructure
Input Output
Visualization
Video/Images
Reports
Text/NLP
Reports
Data

Management
Alt/Neuromorphic

Hardware
Professional

Services

Voice/NLP
Video/Images
Gestures
Emotions
Text/NLP
• Affectiva

• BeyondVerbal

• Emotient Apple!

• Limbic

• Nviso
• Gridspace

• IBM

• Maluuba

• MindMeld

• Nuance

• PopupArchive

• Skymind

• Viv Labs

• Wit.ai
• ABBYY

• Altilia

• Cortical.io

• IBM

• Kaypok

• Luminoso

• Maluuba

• Wit.ai
• BRS Labs

• Clarifai

• Dextro

• Madbits (twitter)

• Mindops

• Skymind

• Teradeep

• Visenze
• Narrative Science

• OnlyBoth
• APX Labs

• EyeSight

• GestureTek

• LeapMotion

• Nod

• Intel
Analytics/Visualization
• 1010data

• Adatao

• Alpine Data Labs

• Alteryx

• Altilia

• Angoss

• Attivio

• Birst

• Civis Analytics

• ClearStoryData

• Connotate

• Context Relevant

• Dataiku

• Datameer

• Emerald Logic

• Finch Computing  
(was Synthos)

• First Rain

• ForeSee

• Fractal Analytics

• Guavus

• IBM

• indico

• KNIME

• KXEN (SAP)

• LiftIgniter
• MathWorks (Matlab)

• Microsoft

• Mu Sigma Nara Logics

• NuTonian

• Opera Solutions

• Oracle

• Palantir

• Pentaho

• Prediction IO

• Predixion

• Qliktech

• Quid

• Rapid Miner

• Revolution Analytics(MSFT)

• Salford Systems

• SAP

• SAS Institute

• SiSense

• Spark Beyond

• Spotfire (Tibco)

• StatSoft (Dell)

• Teradata

• Versium

• Wolfram Mathematica

• Yhat
Data Management
• Actian

• Aerospike

• Alation

• Basho

• Caspio

• Cognizant Technology

• Couchbase

• CrowdFlower

• CumuLogic

• Data Bricks

• DataRPM

• DataStax

• DataWeb, Inc.

• DDN

• diffbot

• GigaSpaces

• GridGain

• Hortonworks

• IBM

• import io

• kimono

• MapR
• MarkLogic

• MongoDB

• NeoTechnology

• Oracle

• Paxata

• RainStor

• SAP
Alt/Neuromorphic
Hardware
• Artificial Learning

• DWave

• HRL Laboratories

• IBM

• Nervana Systems

• Nvidia

• Qualcomm

• Teradeep

Technology Builders App/System Builders
Investors Consumers/Users
Analytics/Insights
as a Service
Delivery is migrating
to a service-oriented
business model.
“app store” models call for revenue
sharing. Revenue/profit splits need to
reflect current value so contracts
should allow for changes to reflect
market conditions.
For paid subscription sites, buyers
may place a premium on owning/
licensing results with personally
identifiable data, or simply want
perpetual access to results. This will
drive new business models.
Investors are driving this
movement - no specific action
recommended.
Pay as you go analytics and
CC services will be a big market.
The insights gained during operation
hold real value, so capturing them
for future engagements should be a
strategic goal.
Analytics as a Service
Insights as a Service
Business Trend:

Predictive analytics: the use of statistical algorithms and a set of
assumptions - the model - to identify the likelihood of future outcomes or
missing values based on patterns in historical data.
Linear regression

Logistic regression

(categorical dependent variable)

Time-series analysis

Classification trees

Decision trees…
Historical
Data
Predicted
Data
Assumptions

• Identify the assumptions
• Validate the assumptions
THERE ARE ALWAYS ASSUMPTIONS…They are often wrong
• Customers with common buying histories will have common buying futures
• Past is prelude - if consumption of a commodity has been cyclical, it will
remain cyclical
• If we find a correlation in demand (beer/diapers) we can ignore causation
Predictive analytics: the use of statistical algorithms
and a set of assumptions - the model - to identify the
likelihood of future outcomes or missing values based
on patterns in historical data.
If you’re not predicting, you’re just reporting

Theme II. Smart Data and the Internet of Things

“The Internet of Things
is the new Industrial Revolution.”
Dr. John Bates, 11/17/2015

When everything is connected…
New sources of data emerge
New sources of value emerge
Old assumptions must be challenged
The Impact of the IOT

IOT enables
New technologies
New models
New ecosystems

Intelligence can be
Local to the device
Distributed
Aggregated

Smarter Cities
IOT Meets Cognitive

Smarter Cities
Collaborative Intelligence
The Borg Lives!

Citizens
Government
Public Sensors
&
Systems
Open Data
Open Knowledge
Proprietary
Knowledge
Commercial
Enterprises:
Private Sensors
&
Systems
Commercial Proprietary
Data
Government Proprietary
Data
Voluntary
Involuntary - Includes
social media
Foundations of Cognitive Computing for Smarter Cities
from Cognitive Computing and Big Data Analytics, Hurwitz, Kaufman & Bowles, 2015
IoT As a Cognitive Enabler

Principle: The IOT creates high-value opportunities for low-latency applications.
Example: Devices that can communicate with an individual (via mobile device,
wearable, etc) can create value if they have the right information about the
individual. From variable pricing of soda in a machine to suggesting a purchase
to offering a discount if a customer walks past an item believed to be of interest,
the applications need to be able to run the analytics in time to make a
recommendation.
Implication: Data needs to be close enough to process while the results are still
valuable. Availability is critical.

Theme III. Smart Data Management

Two Things Nobody Tells You About Data…
• All data is structured 
Google used a neural network with16,000 processors to search
10,000,000 images from YouTube to identify…cats.
• Beliefs change, truth doesn’t
Representing belief as fact will eventually trip up any system
“Facts change in regular and mathematically understandable ways.”
Samuel Arbesman, The Half-life of Facts, 2012, Penguin Books.

1952 DSM I
1968 DSM II
Pervasive Developmental Disorder (PDD)
Childhood onset PDD Infantile Autism Atypical Autism
1980 DSM III
Taxonomies Evolve
The History of Autism in the Diagnostic & Statistical Manual of the American Psychiatric Association
PDD-NOS Autistic Disorder
(Not Otherwise Speciﬁed)
1987 DSM III-R
PDD-NOS Autistic Disorder Asperger Disorder Childhood Disintegrative Disorder Rett Syndrome
1994 DSM IV
2000 DSM IV-TR
Autism Spectrum Disorder (ASD)
2013 DSMV

Theme IV. Transforming Business with Smart Data

Cognitive
Commerce
The Bazaar
e-commerce
Retail
Skill-based
Standard-based
Information-based
Knowlege/Learning-based
Exchange Models
Time
Buyer
Value
Your
Opportunity
Has
Arrived

Business Model Framework
Biz Model
Market
Opportunity
Revenue
Model
Delivery
Mechanism
Operational
Keys
Goods/Svcs
Content (IP)
Business
Consumer
Business
Consumer
Commerce
Subsidy
Consumer
Data
Ads
Sponsors
Sales
Auctions
Demographics
Behavioral
Psychographics
Commissions
Transaction fees
Commissions
Transaction fees
English
Dutch
Reverse Commissions
Transaction fees
Strategy Creative/
Branding
Technology
Infrastructure
COTS
Applications
Custom Apps

Do you have a good candidate app?

Start with the hard questions!
Do you have the skills?
Do you have the data?
Are your customers ready for probabilistic or non-deterministic answers?
(can they deal with uncertainty and multiple possible answers?)
Does anybody else have the data?
Will NLP add value in the eyes of your customers?
How important is it to be able to explain how the system got an answer or made a
recommendation…? (medical diagnosis - HIGH, recommending a sweater, not so much)
How important is it for the system to improve its performance over
time? (vs consistent answers)

For more information:
adrian@storminsights.com
Twitter @ajbowles
Skype ajbowles


Upcoming Webinar Dates & Topics
February 11 A Roadmap for Deploying Modern AI in Business 
Theme: Transforming Business with Smart Data

March 10 Machine Learning Adoption Strategies

Theme: Cognitive Computing
April 14 Getting Started with Streaming Analytics and the IoT 
Theme: Smart Data and the Internet of Things

May 12 Emerging Data Management Options: Graph Databases  
Theme: Smart Data Management

June 9 Sense and Sensors- From Perception to Personality to  
Themes: Smart Data and the Internet of Things, Cognitive Computing
adrian@storminsights.com Twitter @ajbowles Skype ajbowles

Smart Data - The Foundation for Better Business Outcomes

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