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How the Internet of Things is going 
to change your product roadmap. 
Sean Gately 
Datawatch OEM
Today’s Agenda 
• Internet of Things Landscape 
• How Smart Data changes the product landscape 
• Why Your application nee...
About Datawatch 
Visual Data Discovery enabling more meaningful and timely decisions for next generation analytics. 
NASDA...
The Internet of Things 
The network of physical objects 
accessed through the Internet, 
as defined by technology 
analyst...
Where will your data come from? 
Internet of Things 
Web clickstreams 
Machine data / log files 
Enterprise applications 
...
IoT: Industrial & Consumer 
Industrial & 
Commercial Consumer
What is The Internet of things really? 
Lots of Smart Connected Data 
Fragmented 
“Data Objects” 
Seemingly 
disparate dat...
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 servic...
The Industrial Internet: Enabled by the convergence 
of technology, machines, data and connectivity 
11 
By 2020, the numb...
Smart Machines 
13 
This is what people thought when we said smart machines 
6 Billion 
“Smart Phones” 
By 2020 
“I believ...
A Very Smart Drill. 
• Accelerometer aware drill 
bits for horizontal drilling 
• Logging while drilling 
• Better use of ...
Machines are getting Smarter
Let’s Zoom In – IOT is Evolving now. 
• Utilize non traditional smart 
data. 
• Create an attractive user 
experience with...
Smart Data is Changing Industry Now 
17 
Aviation 
fuel cost saving 
in aviation 
industry 
Building 
fuel cost saving 
in...
Real Potential to Innovate 
18 
Innovation is taking two things that already exist and 
putting them together in a new way...
Savings and growth opportunities 
across every industry 
19 
$30B 
fuel cost saving 
in aviation 
industry 
$66B 
fuel cos...
20 
Your legacy applications will need to get smarter to maximize 
IOT data. 
Client Server 
Data driven 
Form Orientated ...
21 
Your legacy applications will need to get smarter to maximize 
IOT data. 
Client Server 
Data driven 
Form Orientated ...
22 
Your legacy applications will need to get smarter to maximize 
IOT data. 
Client Server 
Data driven 
Form Orientated ...
23 
Your legacy applications will need to get smarter to maximize 
IOT data. 
Client Server 
Data driven 
Form Orientated ...
24 
“It marks the transition into a new phase of the Web, where we stop searching and 
start finding.” 
“The Semantic Web ...
25 
“It marks the transition into a new phase of the Web, where we stop searching and 
start finding.” 
2.0 
3.0
26 
IOT is People 
Crowdsourcing Malaria Diagnosis 
“It marks the transition into a new phase of the Web, where we stop se...
Cloud Apps Show us a glimpse. 
• Often Platforms. 
• More likely to integrate 
information. 
• Prescribe 
Recommendations....
6 Ways to prepare your product for IOT 
Embrace the Web 
Prepare to be flexible with data 
Utilize in motion and legacy da...
General challenges to overcome with IOT 
Why, How, When, Who 
Privacy Security Big Data Infrastructure Adoption Developmen...
Internal Challenges to Overcome 
Challenges, Time to Market 
Data Blue Print Infrastructure Creating a Great Product
External Challenges to Overcome 
Time to Market, Successful Offering 
Marketing Ecosystem Adoption Agility To Change
32 
Errors can Happen (Fictional Example 1) 
Target knows your teenage daughter is pregnant before you do! 
Guest ID Numbe...
With Challenges comes rewards 
33 
$30B 
fuel cost saving 
in aviation 
industry 
$66B 
fuel cost saving 
in gas powered 
...
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...
Gartner’s 2014 Predictions 
Major changes are imminent to the world of BI and analytics 
Source: Gartner’s Predicts 2014 –...
SEAN_GATELY@DATAWATCH.COM 
linkedin.com/in/sgately 
@SeanGately11
Sean gately   internet of things
Sean gately   internet of things
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Sean gately internet of things

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Sean gately internet of things

  1. 1. How the Internet of Things is going to change your product roadmap. Sean Gately Datawatch OEM
  2. 2. 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
  3. 3. About Datawatch Visual Data Discovery enabling more meaningful and timely decisions for next generation analytics. NASDAQ: DWCH Pioneer in real-time visual data discovery and data preparation Global operations and support § US, UK, Germany, France, Australia, Singapore, Philippines Extensive global customer base § 99 of the Fortune 100 § 12 of the 15 largest financial institutions Resold and embedded by leading vendors
  4. 4. 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.
  5. 5. Where will your data come from? Internet of Things Web clickstreams Machine data / log files Enterprise applications Human generated Commercial data
  6. 6. IoT: Industrial & Consumer Industrial & Commercial Consumer
  7. 7. 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
  8. 8. Mosaic Source Product Camp SoCal Photos
  9. 9. Legacy Things vs. Data Smart IOT Things
  10. 10. 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 Transformation Gartner, March 2014
  11. 11. 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. BILLIONS OF DEVICES 25 TIMELINE INFLECTION POINT 12.5 6.8 7.2 7.6 50Billion “Smart Objects” WORLD POPULATION Rapid Adoption Rate of Digital Infrastructure: 5X Faster than electricity and telephony
  12. 12. Smart Machines 13 This is what people thought when we said smart machines 6 Billion “Smart Phones” By 2020 “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
  13. 13. 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
  14. 14. Machines are getting Smarter
  15. 15. 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.
  16. 16. Smart Data is Changing Industry Now 17 Aviation fuel cost saving in aviation industry Building fuel cost saving in gas powered fleets Health productivity improvement in healthcare Industry reduction in Cap X in oil & gas exploration and development Travel productivity improvement in rail industry Smart “things” are changing every industry
  17. 17. Real Potential to Innovate 18 Innovation is taking two things that already exist and putting them together in a new way. Tom Freston
  18. 18. Savings and growth opportunities across every industry 19 $30B fuel cost saving in aviation industry $66B fuel cost saving in gas powered fleets $63B productivity improvement in healthcare $90B reduction in Cap X in oil & gas exploration and development $27B productivity improvement in rail industry 1% savings from efficient Industrial Internet solutions could save billions in operational costs
  19. 19. 20 Your legacy applications will need to get smarter to maximize IOT data. Client Server Data driven Form Orientated Data Entry Single Data Source Web 2.0 Embedded Widgets, Workflow Driven Multiple Data Sources Application Integration Web 3.0 IOT Data Predictive Qualities Prescriptive Qualities Multi-Connected Environment Platform
  20. 20. 21 Your legacy applications will need to get smarter to maximize IOT data. Client Server Data driven Form Orientated Data Entry Single Data Source Web 2.0 Embedded Widgets, Workflow Driven Multiple Data Sources Application Integration Web 3.0 IOT Data Predictive Qualities Prescriptive Qualities Multi-Connected Environment Platform
  21. 21. 22 Your legacy applications will need to get smarter to maximize IOT data. Client Server Data driven Form Orientated Data Entry Single Data Source Web 2.0 Embedded Widgets, Workflow Driven Multiple Data Sources Application Integration Web 3.0 IOT Data Predictive Qualities Prescriptive Qualities Multi-Connected Environment Platform
  22. 22. 23 Your legacy applications will need to get smarter to maximize IOT data. Client Server Data driven Form Orientated Data Entry Single Data Source Web 2.0 Embedded Widgets, Workflow Driven Multiple Data Sources Application Integration Web 3.0 IOT Data Predictive Qualities Prescriptive Qualities Multi-Connected Environment Platform
  23. 23. 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
  24. 24. 25 “It marks the transition into a new phase of the Web, where we stop searching and start finding.” 2.0 3.0
  25. 25. 26 IOT is People Crowdsourcing Malaria Diagnosis “It marks the transition into a new phase of the Web, where we stop searching and start finding.”
  26. 26. 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…)
  27. 27. 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
  28. 28. General challenges to overcome with IOT Why, How, When, Who Privacy Security Big Data Infrastructure Adoption Development
  29. 29. Internal Challenges to Overcome Challenges, Time to Market Data Blue Print Infrastructure Creating a Great Product
  30. 30. External Challenges to Overcome Time to Market, Successful Offering Marketing Ecosystem Adoption Agility To Change
  31. 31. 32 Errors can Happen (Fictional Example 1) Target knows your teenage daughter is pregnant before you do! Guest ID Number Credit Card Name & Email Data from Machine Data Analysis of Data Compared with Pregnant buyers 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
  32. 32. With Challenges comes rewards 33 $30B fuel cost saving in aviation industry $66B fuel cost saving in gas powered fleets $63B productivity improvement in healthcare $90B reduction in Cap X in oil & gas exploration and development $27B productivity improvement in rail industry 1% savings from efficient Industrial Internet solutions could save billions in operational costs
  33. 33. How to be a Data Super Hero for your clients
  34. 34. 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.
  35. 35. Gartner’s 2014 Predictions Major changes are imminent to the world of BI and analytics Source: Gartner’s Predicts 2014 – Nov 2013
  36. 36. SEAN_GATELY@DATAWATCH.COM linkedin.com/in/sgately @SeanGately11

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