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How the Internet of Things is going to change your product roadmap.
Sean GatelyDatawatch OEM
Today’s Agenda
• Internet of Things Landscape• How Smart Data changes the product landscape• Why Your application needs to get smarter• What Challenges you need to overcome to use IOT• How to be a super-data hero to your clients
About Datawatch
NASDAQ: DWCH
Pioneer in real-time visual data discovery and data preparation
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Singapore, Philippines
Extensive global customer base§ 99 of the Fortune 100§ 12 of the 15 largest financial institutions
Resold and embedded by leading vendors
Visual Data Discovery enabling more meaningful and timely decisions for next generation analytics.
The Internet of Things
The network of physical objects accessed through the Internet, as defined by technology analysts and visionaries. These objects contain embedded technology to interact with internal states or the external environment.
Where will your data come from?
Internet of ThingsWeb clickstreams
Machine data / log filesEnterprise applications
Human generatedCommercial data
IoT: Industrial & Consumer
Industrial & Commercial Consumer
What is The Internet of things really?
Lots of Smart Connected Data
Fragmented“Data Objects”
Seemingly disparate data from multiple sources to create a clearer picture
Mosaic Source Product Camp SoCal Photos
Legacy Things vs. Data Smart IOT Things
The Next Wave of Business Transformation
Analytics have been transformative in wide areas of customer and product service. Sensor enabled industrial analytic applications are the next frontier.
Source: Industrial Analytics: The Next Wave of Business TransformationGartner, March 2014
The Industrial Internet: Enabled by the convergence of technology, machines, data and connectivity
11
By 2020, the number of things connected to the internet will be approximately 7x the number of people on earth today.
BILL
ION
S O
F DE
VICE
S
TIMELINE
INFLECTION POINT
6.8 7.2 7.6
12.5
25
50Billion“Smart Objects”
WORLD POPULATION
Rapid AdoptionRate of DigitalInfrastructure:5X Faster thanelectricity andtelephony
Smart Machines
13
This is what people thought when we said smart machines
6 Billion“Smart Phones”
“I believe that at the end of the century the use of words and the general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.”Alan Turing, 1937
By 2020
A Very Smart Drill.
• Accelerometer aware drill bits for horizontal drilling
• Logging while drilling• Better use of collected data
while drilling• Modeling from data• Oil production increased
200-300 percent
Machines are getting Smarter
Let’s Zoom In – IOT is Evolving now.
• Utilize non traditional smart data.
• Create an attractive user experience with data.
• Create a flexible platform to share data.
• Prescribe Information.
Smart Data is Changing Industry Now
17
Aviationfuel cost saving
in aviation industry
Buildingfuel cost saving
in gas powered fleets
Healthproductivity
improvement in healthcare
Industryreduction in
Cap X in oil & gas exploration and development
Travelproductivity
improvement in rail industry
Smart “things” are changing every industry
Real Potential to Innovate
18
Innovation is taking two things that already exist and putting them together in a new way.
Tom Freston
Savings and growth opportunities across every industry
19
$30Bfuel cost saving
in aviation industry
$66Bfuel cost saving in gas powered
fleets
$63Bproductivity
improvement in healthcare
$90Breduction in
Cap X in oil & gas exploration
and development
$27Bproductivity
improvement in rail industry
1% savings from efficient Industrial Internet solutions could save billions in operational costs
20
Client ServerData driven
Form OrientatedData Entry
Single Data Source
Web 2.0Embedded Widgets,
Workflow DrivenMultiple Data SourcesApplication Integration
Web 3.0IOT Data
Predictive QualitiesPrescriptive Qualities
Multi-Connected EnvironmentPlatform
Your legacy applications will need to get smarter to maximize IOT data.
21
Client ServerData driven
Form OrientatedData Entry
Single Data Source
Web 2.0Embedded Widgets,
Workflow DrivenMultiple Data SourcesApplication Integration
Web 3.0IOT Data
Predictive QualitiesPrescriptive Qualities
Multi-Connected EnvironmentPlatform
Your legacy applications will need to get smarter to maximize IOT data.
22
Client ServerData driven
Form OrientatedData Entry
Single Data Source
Web 2.0Embedded Widgets,
Workflow DrivenMultiple Data SourcesApplication Integration
Web 3.0IOT Data
Predictive QualitiesPrescriptive Qualities
Multi-Connected EnvironmentPlatform
Your legacy applications will need to get smarter to maximize IOT data.
23
Client ServerData driven
Form OrientatedData Entry
Single Data Source
Web 2.0Embedded Widgets,
Workflow DrivenMultiple Data SourcesApplication Integration
Web 3.0IOT Data
Predictive QualitiesPrescriptive Qualities
Multi-Connected EnvironmentPlatform
Your legacy applications will need to get smarter to maximize IOT data.
24
“It marks the transition into a new phase of the Web, where we stop searching and start finding.”
“The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”Tim Berners-Lee
25
“It marks the transition into a new phase of the Web, where we stop searching and start finding.”
2.0
3.0
26
“It marks the transition into a new phase of the Web, where we stop searching and start finding.”
IOT is PeopleCrowdsourcing Malaria Diagnosis
Cloud Apps Show us a glimpse.
• Often Platforms.• More likely to integrate
information. • Prescribe
Recommendations. • They Learn user patterns.• Use Application data to
display information. • Break down the sharing
barrier. (Login with…)
6 Ways to prepare your product for IOT
Embrace the Web
Prepare to be flexible with data
Utilize in motion and legacy data
Think about compelling visual user experiences
Allow the user to discover their own data trends
Suggest potential outcomes
General challenges to overcome with IOT
Why, How, When, Who
Privacy Security AdoptionInfrastructureBig Data Development
Internal Challenges to Overcome
Data Blue Print Infrastructure Creating a Great Product
Challenges, Time to Market
External Challenges to Overcome
Marketing Ecosystem Adoption Agility To Change
Time to Market, Successful Offering
32
Target knows your teenage daughter is pregnant before you do!
Guest ID Number
Credit Card
Name & Email
Compared with Pregnant buyers
Data from Machine Data
Analysis of Data
Baby Coupons
“My daughter got this in the mail!” he said. “She’s still in high school, and you’re sending her coupons for baby clothes and
cribs? Are you trying to encourage her to get
pregnant?”
“I had a talk with my daughter,” “It turns out there’s been some activities in my house I haven’t
been completely aware of. She’s due in August. I owe you an
apology.”Unknown Man
Errors can Happen (Fictional Example 1)
With Challenges comes rewards
33
$30Bfuel cost saving
in aviation industry
$66Bfuel cost saving in gas powered
fleets
$63Bproductivity
improvement in healthcare
$90Breduction in
Cap X in oil & gas exploration
and development
$27Bproductivity
improvement in rail industry
1% savings from efficient Industrial Internet solutions could save billions in operational costs
How to be a Data Super Hero for your clients
6 Requirements of a Data Superhero
With Great (IOT) Data Comes Great Responsibility
Prepare for Real Time Data
Create a compelling data user experience
Predict and Prescribe outcomes
Make it easy for them
Think Automation.
Gartner’s 2014 Predictions
Source: Gartner’s Predicts 2014 – Nov 2013
Major changes are imminent to the world of BI and analytics
SEAN_GATELY@DATAWATCH.COM
linkedin.com/in/sgately@SeanGately11
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