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HOUSTON │OSLO │ PALO ALTO
Social Convergence of Machine Learning in IIoT
IoT With the Best – 29 October 2016
Today’s Talk
| Copyright © 2016. Arundo Analytics. All rights reserved2
• Who am I? Who is Arundo? Why am I talking? Why this matters
to you?
• Machine learning – where we are in the space?
• What is “social convergence” anyway?
• Some examples.
Me.
| Copyright © 2016. Arundo Analytics. All rights reserved3
• Actually an antennas/controls person (Ph.D.
in electromagnetics/stochastic methods)
• Diverse software development experience
• Triathlete
• Previous employers:
• Intel
• Toshiba
• Siemens
Arundo.
| Copyright © 2016. Arundo Analytics. All rights reserved4
Not the invasive plant…
5
Industrial experience All employees have a MSc or PhD
We have a unique diverse team
Locations and Notable Logos
| Copyright © 2016. Arundo Analytics. All rights reserved6
Three offices to meet global growing demand
of data science in oil & gas and marine
industries
Ongoing work with many clients, a couple I can
mention here…
A post data science, data science company
| Copyright © 2016. Arundo Analytics. All rights reserved7
In addition to building new algorithms, deploying models, and solving big data problems for
customers…
.. We are beginning to ask questions about how data science is being communicated and used
within companies in order to not only make an impact but also to scale the impact.
Therefore, from our learnings, we realize there are several challenges ahead with regard to
implementing data science solutions…
… because of the amount of people, machines, and data that the solution must impact and the
amount of coordination it will take across these aforementioned stakeholders
So – we do data science and have placed a good amount of focus on the “social convergence”
(including machines) of data science solutions for big data problems.
What are we seeing?
Music that makes you dumb…
Why are Facebook posts dropping?
Facebook can watch you fall in love…..
The anticipation of the industrial internet
| Copyright © 2016. Arundo. All rights reserved12
Expects the Global IIoT to
be $220Bn in 2020
Expects the Global IIoT to
be $14.4Tn by 2022
Collection of data – even in Iiot
| Copyright © 2016. Arundo. All rights reserved13
Machine Learning
Images from iconfinder.com and pixabay.com
Several groups and people with different objectives
| Copyright © 2016. Arundo. All rights reserved14
Machine Learning
Images from iconfinder.com
How do we connect every source to maximize impact for all?
| Copyright © 2016. Arundo. All rights reserved15
Machine
Learning
Machine Learning
Actions/decisions
Products for turning data into value
16
Data
Real-time failure
predictions and
performance
optimization
Real-time data
Historical asset
performance
Batch data
Annotations and
interaction across
assets and
companies
Meta data
LiveQ
Q
DeepQ SocialQ
Arundo DeepQ generates insight from historical data
17
Arundo SocialQ is data drive collaborative problem solving over the
cloud
18
An analysis and collaboration of people solving around data science
| Copyright © 2016. Arundo. All rights reserved19
Our approach is unique*
20
Enabling our customers to get control of all data across equipment and sensors,
on all assets - even industry wide
* Patent pending
1. System-wide and equipment
agnostic deployment
2. Enhanced predictability
through model-sharing*
3. Industrial network
infrastructure
Copyright © 2016. Arundo. All rights reserved

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Social Convergence of Machine Learning in IIoT - Jeffrey Jensen

  • 1. HOUSTON │OSLO │ PALO ALTO Social Convergence of Machine Learning in IIoT IoT With the Best – 29 October 2016
  • 2. Today’s Talk | Copyright © 2016. Arundo Analytics. All rights reserved2 • Who am I? Who is Arundo? Why am I talking? Why this matters to you? • Machine learning – where we are in the space? • What is “social convergence” anyway? • Some examples.
  • 3. Me. | Copyright © 2016. Arundo Analytics. All rights reserved3 • Actually an antennas/controls person (Ph.D. in electromagnetics/stochastic methods) • Diverse software development experience • Triathlete • Previous employers: • Intel • Toshiba • Siemens
  • 4. Arundo. | Copyright © 2016. Arundo Analytics. All rights reserved4 Not the invasive plant…
  • 5. 5 Industrial experience All employees have a MSc or PhD We have a unique diverse team
  • 6. Locations and Notable Logos | Copyright © 2016. Arundo Analytics. All rights reserved6 Three offices to meet global growing demand of data science in oil & gas and marine industries Ongoing work with many clients, a couple I can mention here…
  • 7. A post data science, data science company | Copyright © 2016. Arundo Analytics. All rights reserved7 In addition to building new algorithms, deploying models, and solving big data problems for customers… .. We are beginning to ask questions about how data science is being communicated and used within companies in order to not only make an impact but also to scale the impact. Therefore, from our learnings, we realize there are several challenges ahead with regard to implementing data science solutions… … because of the amount of people, machines, and data that the solution must impact and the amount of coordination it will take across these aforementioned stakeholders So – we do data science and have placed a good amount of focus on the “social convergence” (including machines) of data science solutions for big data problems.
  • 8. What are we seeing?
  • 9. Music that makes you dumb…
  • 10. Why are Facebook posts dropping?
  • 11. Facebook can watch you fall in love…..
  • 12. The anticipation of the industrial internet | Copyright © 2016. Arundo. All rights reserved12 Expects the Global IIoT to be $220Bn in 2020 Expects the Global IIoT to be $14.4Tn by 2022
  • 13. Collection of data – even in Iiot | Copyright © 2016. Arundo. All rights reserved13 Machine Learning Images from iconfinder.com and pixabay.com
  • 14. Several groups and people with different objectives | Copyright © 2016. Arundo. All rights reserved14 Machine Learning Images from iconfinder.com
  • 15. How do we connect every source to maximize impact for all? | Copyright © 2016. Arundo. All rights reserved15 Machine Learning Machine Learning
  • 16. Actions/decisions Products for turning data into value 16 Data Real-time failure predictions and performance optimization Real-time data Historical asset performance Batch data Annotations and interaction across assets and companies Meta data LiveQ Q DeepQ SocialQ
  • 17. Arundo DeepQ generates insight from historical data 17
  • 18. Arundo SocialQ is data drive collaborative problem solving over the cloud 18
  • 19. An analysis and collaboration of people solving around data science | Copyright © 2016. Arundo. All rights reserved19
  • 20. Our approach is unique* 20 Enabling our customers to get control of all data across equipment and sensors, on all assets - even industry wide * Patent pending 1. System-wide and equipment agnostic deployment 2. Enhanced predictability through model-sharing* 3. Industrial network infrastructure
  • 21. Copyright © 2016. Arundo. All rights reserved