How the Internet of Things is going to change your product roadmap. Sean Gately Datawatch OEM

Transcription

1 How the Internet of Things is going to change your product roadmap. Sean Gately Datawatch OEM

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 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 of the 15 largest financial institutions Resold and embedded by leading vendors

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 Where will your data come from? Internet of Things Web clickstreams Machine data / log files Enterprise applications Human generated Commercial data

6 IoT: Industrial & Consumer Industrial & Commercial Consumer

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 Mosaic Source Product Camp SoCal Photos

9 Legacy Things vs. Data Smart IOT Things

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 The Industrial Internet: Enabled by the convergence of technology, machines, data and connectivity By 2020, the number of things connected to the internet will be approximately 7x the number of people on earth today. BILLIONS OF DEVICES INFLECTION POINT WORLD POPULATION Billion Smart Objects Rapid Adoption Rate of Digital Infrastructure: 5X Faster than electricity and telephony TIMELINE 11

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13 Smart Machines 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,

14 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 percent

15 Machines are getting Smarter

16 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.

17 Smart Data is Changing Industry Now Smart things are changing every industry 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 17

18 Real Potential to Innovate Innovation is taking two things that already exist and putting them together in a new way. Tom Freston 18

19 Savings and growth opportunities across every industry 1% savings from efficient Industrial Internet solutions could save billions in operational costs $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 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

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

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

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

24 The Semantic Web is not a separate Web but an extension of the current one, in which information is given welldefined meaning, better enabling computers and people to work in cooperation. Tim Berners-Lee It marks the transition into a new phase of the Web, where we stop searching and start finding. 24

25 It marks the transition into a new phase of the Web, where we stop searching and start finding. 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

27 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 )

28 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

29 General challenges to overcome with IOT Why, How, When, Who Privacy Security Big Data Infrastructure Adoption Development

30 Internal Challenges to Overcome Challenges, Time to Market Data Blue Print Infrastructure Creating a Great Product

31 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 Number Credit Card Name & 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? Data from Machine Data Analysis of Data Compared with Pregnant buyers Baby Coupons 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

33 With Challenges comes rewards 1% savings from efficient Industrial Internet solutions could save billions in operational costs $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 33

34 How to be a Data Super Hero for your clients

35 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.

36 Gartner s 2014 Predictions Major changes are imminent to the world of BI and analytics Source: Gartner s Predicts 2014 Nov 2013

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