The document discusses the emergence of Julia, an open-source programming language that addresses the challenges of implementing advanced algorithms in Internet of Things (IoT) applications. It emphasizes the language's strong mathematical foundation, high performance, and ability to facilitate communication between engineers, data scientists, and devices. Various use cases for Julia are highlighted, including applications in healthcare predictive analytics, collision avoidance systems, and 3D printing.

1. An open platform for Smart IOT
November 2015
Proprietary and Confidential

2. Some decisions can be delegated to the edge assets. The
engines now in effect have a mind of their own.
Newer, higher order languages will become prevalent in
safety-related systems and one more barrier to innovation is
removed for machines becoming brilliant.
– Rich Phillips, Chief Architect (GE Aviation)
Source: https://www.gesoftware.com/blog/dodging-emissions-and-schrodingers-cat

3. Removing barriers to Smart IOT
 Looming Crisis
 Too many devices
 Lots of sensors
 Low level languages not suitable for advanced algorithms
 Julia
 Strong mathematical foundation
 High performance, high productivity
 Common language for engineers, data scientists, and computer
scientists
 Common language for devices and cloud

4. The Open Source Julia community
100,000 users
Nerve Centres in Bangalore and at MIT
Julia: The strategic choice

5. Analytics on the device
Speed and Safety
Cloud analytics
Scalable algorithms
Programmed by Computer Scientists
Iron and Silicon: A common language
Programmed by Engineers
Fe Si

6. Develop
algorithms
DeploymentEngineer
Months
Then
Deployment
Now
Days or Weeks
Rewrite in
low level
language
Programmers
Develop
algorithms
Engineer
The engineer is the programmer - Deploy what you develop
SiFe
SiFe

7. Julia Programs are Transparent and Auditable
Wall Street
Energy Grid

8. Julia as the
specification language
for Airborne Collision
Avoidance (ACAS-X)
Julia for collision avoidance
Source: Robert Moss https://youtu.be/19zm1Fn0S9M Fe

9. Julia for 3D Printing
Julia drives the 3D slicer that prints
this quadcopter
Source: Jack Minardi https://youtu.be/PluP562Xdv4 Fe

10. • A population based predictive
platform for healthcare costs
• Financial models based on zip
codes, insurance, utilization
rates, past volumes, revenues,
and costs
Julia for predictive analytics in healthcare
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11. • Next generation search,
pricing and commerce
algorithms
• Learning algorithms mine
data from a 300 Terabyte
data store spread over
1000+ servers on a daily
basis
Julia for search and pricing algorithms
Si

12. Thank You
Email us at: info@juliacomputing.com