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How To Prepare
for 2025’s Intelligence
Technology
A Complimentary Webinar from Aurora WDC
12:00 Noon Eastern /// Wednesday 16 December 2015
~ featuring ~
Nova Spivack JP Ratajczak

The Intelligence Collaborative
http://IntelCollab.com #IntelCollab
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Nova Spivack is a technology futurist, serial entrepreneur, angel investor, and
one of the leading voices on the next-generation of search, AI, big data, and the
Web. He was recently ranked in the top 20 futurists based on an analysis of social
and Web influence. He is a frequent speaker and blogger, and writes guest-articles
for publications such as TechCrunch, Mashable, GigaOM, and SiliconAngle. Nova
was named to Re/Code’s List of LA Power Players in Tech in 2014.
Nova is presently CEO of Bottlenose, which uses big data mining to discover
emerging trends for large brands and enterprises. He also advises and/or invests in
several startups including Klout (acquired by Lithium), The Daily Dot, Next IT,
WhoKnows, Live Matrix (acquired by OVGuide), Chronos Trading, PublishThis,
Sensentia, Cambrian Genomics, and Energy Magnification Corporation.
Twitter: @novaspivack
Blog: novaspivack.com
The Intelligence Collaborative is the online learning and networking community powered by Aurora
WDC, our clients, partners and other friends and dedicated to exploring how to apply intelligence
methods to solve real-world business problems.
Apply for a free 30-day trial membership at http://IntelCollab.com or learn
more about Aurora WDC at http://AuroraWDC.com.

The Intelligence Collaborative
http://IntelCollab.com #IntelCollab
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Taken from Why 2015 Was a Breakthrough Year in Artificial Intelligence

The Intelligence Collaborative
http://IntelCollab.com #IntelCollab
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Nova Spivack is a technology futurist, serial entrepreneur, angel investor, and
one of the leading voices on the next-generation of search, AI, big data, and the
Web. He was recently ranked in the top 20 futurists based on an analysis of social
and Web influence. He is a frequent speaker and blogger, and writes guest-articles
for publications such as TechCrunch, Mashable, GigaOM, and SiliconAngle. Nova
was named to Re/Code’s List of LA Power Players in Tech in 2014.
Nova is presently CEO of Bottlenose, which uses big data mining to discover
emerging trends for large brands and enterprises. He also advises and/or invests in
several startups including Klout (acquired by Lithium), The Daily Dot, Next IT,
WhoKnows, Live Matrix (acquired by OVGuide), Chronos Trading, PublishThis,
Sensentia, Cambrian Genomics, and Energy Magnification Corporation.
Twitter: @novaspivack
Blog: novaspivack.com
The Intelligence Collaborative is the online learning and networking community powered by Aurora
WDC, our clients, partners and other friends and dedicated to exploring how to apply intelligence
methods to solve real-world business problems.
Apply for a free 30-day trial membership at http://IntelCollab.com or learn
more about Aurora WDC at http://AuroraWDC.com.

The Intelligence Collaborative
http://IntelCollab.com #IntelCollab
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ENTER CODE: BOTTLENOSE to receive $200 Discount

Enterprise
Intelligence
December 2015
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

Data is
Exploding
and Analysts
Can’t Keep
Up
Unstructured data
projected to grow to 40
Zettabytes by 2020
(Source: IDC)
Challenge:
By 2018, the United States will
face a shortage of up to 190,000
data scientists with advanced
training in statistics and
machine learning as well as
1.5 million managers and
analysts with enough
proficiency in statistics to use
big data effectively (Source: IDC)
Zettabytes
(Trillion
Gigabytes)
Sources: “Worldwide Big Data and Technology Forecast 2015 - 2019”, October
2015,The Digital Universe of Opportunities,” April, 2014, International Data Corp (IDC).
Unlocking the Value in your Big Data,” Accenture, 2012; “Big data: The next frontier for
innovation, competition, and productivity,” McKinsey Global Institute, May 2011. and
Wikipedia https://en.wikipedia.org/wiki/Zettabyte#cite_note-12
2010 2015 2020
40
0
1
0
20
30
World Wide Web = 4 ZB in
2013
(Source: Wikipedia)
Opportunity:
International Data Corporation sees the
big data technology and services market
growing at a compound annual growth
rate (CAGR) of 23.1% over the 2015-2019
forecast period with annual spending
reaching $48.6 billion in 2019, or almost
six times the growth rate of the overall
information technology market over this
period.
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

NEW PRESSURE
Stream
Analytics is
a Growing
Imperative
for the
Enterprise
A growing segment of the unstructured data
challenge is comprised of fast moving data
streams – what we call “stream data”.
Stream data is rapidly
growing and is likely to
become the majority of
unstructured data in
the future
Within stream data lies
vital information critical to
detecting emerging
threats and opportunities
Enterprises need to be
able to detect these
emerging threats and
opportunities in real-
time, while it is still
possible to act on them
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

THE PROBLEM
First
generation
big data
technologies
were not
designed for
stream data.
They were designed to compute in “batch mode” on
static big data sets, rather than continuous analytics
on temporal data
They require extensive IT involvement to install,
integrate, configure and use
They often require time-consuming query
construction to explore data
They don’t show moving dynamic analytics and
visualizations over time
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

THE PROBLEM
Human
analysts
cannot
keep up
with
constantly
moving
data
The velocity of streaming data overwhelms the
capacity of human brains to monitor and analyze
While analysts work on a question, so much
new data flows in that the answer is obsolete
Analyst expertise & learning is difficult to
capture, automate, and deploy
Analysts need automated intelligent
assistance to cope with streaming data at
scale
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

A Radical
Solution
is
Needed
Enterprises need a new kind of big data
technology that is natively designed for temporal
analytics on streaming data.
Make it less costly and
time-consuming to get
insights out of any kind
of streaming data
Reduce the need for
manual integration
of raw technologies
and data sources
Continuously
generate live
dynamic analytics
and visualizations
from streaming data
Automate the
discovery, learning,
and distribution
of insights to help
analysts work
more efficiently
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved

Defining Data Intelligence
Reporting
Analytics
Data Mining
Semi-Supervised Learning
Autonomous Agents
Structured Data & Metrics
Interactive Search & Dimension Aggregation
Semi-structured Data Enrichment
Clustering & Trainable Classifiers
Use-case Specific Automated Actions

Bottlenose
Enterprise
Intelligence
Solution
Our core IP automates insights by continuously mining to
find the signal in the noise and our platform makes it
radically easier to handle data variety and velocity.
Trend Detection:
• Threats
• Opportunities
• Patterns
• Relationships
• Predictions
Access Points:
• Dashboards
• Email Reports
• Email Alerts
• Other apps
Confidential, Copyright (c) 2015, Bottlenose, Inc. All Rights Reserved
Ingest Augment Store
Analyze
Learn
APIAutonomous Agents
Discovery Engine

Bottlenose Intelligence Platform
Ingest Augment Store
Analyze
Learn
Detect, Anticipate, Contextualize, Cluster, Predict
Supervised & Unsupervised Machine Learning,
Topic Modeling & Classification
API
Metrics, Dimensions, Aggregations & Query
Autonomous Agents
Discovery Engine

StreamSense™
Data Science Workbench
Enterprise AppEnterprise AppEnterprise Apps
Nerve Center™
Visualization SDK
Processing Engine
APIDiscovery Engine
Bottlenose Platform
Hydrant™
Data Push
Raw Data
Insights
Insights
Insights
Autonomous
Agents

Demo of Nerve Center

Enterprise Intelligence Trends for 2025
Intelligence Becomes Continuous
Every medium and large enterprise will need a
streaming, real-time unstructured data intelligence
process to remain competitive
Learning Will be More Automated
The enterprise intelligence process will increasingly
depend on automated machine learning
The Democratization of Data Science and
Analytics
More of what analysts and data scientists do will be
automated and provided directly to domain experts
and decision-makers
Intelligence Moves Closer to the Edge
Intelligence capabilities will be seamlessly
integrated into most workflows & applications

Key Recommendations for 2025 Enterprise
Intelligence
Deploy a data intelligence capability that can collect and
analyze all forms of structured & unstructured streaming data
Use machine learning to automate discovery and
analysis in real-time at scale
Enable domain experts to access intelligence on-demand,
without relying on human analysts, data-scientists and IT
in the middle
Integrate data intelligence into other applications and
processes, where the work actually gets done

The Intelligence Collaborative
http://IntelCollab.com #IntelCollab
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Twitter: @novaspivack
Blog: novaspivack.com
Email: sales@bottlenose.com
The Intelligence Collaborative is the online learning and networking community powered by Aurora
WDC, our clients, partners and other friends and dedicated to exploring how to apply intelligence
methods to solve real-world business problems.
Apply for a free 30-day trial membership at http://IntelCollab.com or learn
more about Aurora WDC at http://AuroraWDC.com.