In this informative webinar, we explore the connected car industry and how they are using modern data and analytics architectures to fully leverage their IoT ecosystem data. You’ll see how Cloudera and Knowi work together to deliver powerful data management, data blending, and natural language data visualizations to help you rapidly leverage your sensor data for machine learning and operational analytics. If you'd like a copy of the slides, please contact ashley@cloudera.com.

1. How to Solve the Data Challenge in
Connected Transport

2. © Quanta Networks, LLC - All rights reserved.
Housekeeping
• You are muted – please use Q&A to type in your questions
• This session is being recorded
• You will receive the recording and slides shortly after the live event
• Plenty of time for Q&A at end

3. © Quanta Networks, LLC - All rights reserved.
Today’s Speakers
• Manny Ezegwula
– Manny is a solutions engineer at Knowi. With deep
technical and analytics knowledge, Manny helps
customers onboard to the Knowi platform and be
successful.
• Ashley Tarver
– Ashley’s helped Cisco launch several smart solutions
(smart-cities, transportation, energy, healthcare and
more). Ashley currently influences Cloudera’s big data
initiatives involving self-driving autonomous vehicles and
is also involved in other IoT projects focused on
predictive analytics, anomaly detection, cloud, and
machine learning.

4. © Quanta Networks, LLC - All rights reserved.
A little about us
• Augmented analytics platform
• Connects to any data,
anywhere
• Combines AI + NLP to create
intelligence needed for
anyone to make decisions
• Analytic partners with Verizon
ThingSpace
• Predictive Analytics Solutions
• Customized ML Algorithms
• IoT Consulting and Services
• Smart-Anything Expertise
• Modern platform for analytics
and machine learning
optimized for the cloud
• Enterprise Data Cloud for all
data types
• Edge-to-AI data control

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Advanced-driver-assistance-Systems (ADAS)
A better life for
our future?
Or the beginning
of a robot
apocalypse?

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Self-Driving Autonomous Vehicles Agenda
What are the implications of an autonomous society?
Explain how a self-driving autonomous vehicle operates
The impact to data management and analytics
01
02
03

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Self-Driving Autonomous Vehicles Agenda
What are the implications of an autonomous society?01

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Advanced-driver-assistance-Systems (ADAS)
Driver
Assistance was
first a horse
We’ve been
looking for a way
back

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Technologies that changed humanity
The Steam Engine &
Horseless Carriages
Indoor Plumbing &
Electric Grid System
Phones World Wide Web

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• Improved road safety
• Mobility for the handicapped
• Free up commuter time
• Environmental considerations
• Shared ownership of cars
• Automated shared-ride fleets
• Automated commercial truck fleets
• Fewer independent repair shops
• Shift in insurance business models
• Optimization of supply chain models
• Accelerate robotic development for other markets
Impact of Autonomous
Driving on Society

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ADAS by the numbers (In USA)
What is “driving” this revolution
53M
4
%
49M
6.9
B
$242B
94%Human Errors
$576B
50mins
Safety & Mobility Efficiencies & Convienence Economic & Societal
Accidents caused
by human error
Drivers
Over age 65
People with
disabilities
Average car
use
Time savings per
person annually
Hours in cars
annually
Loss of workforce
productivity
Square miles of parking
space on Earth
Loss of life and
quality of living
Loss of total
economic activity
$57.6B
43
K

12. © Quanta Networks, LLC - All rights reserved.
Self-Driving Autonomous Vehicles Agenda
Explain how a self-driving autonomous vehicle operates02

13. © Quanta Networks, LLC - All rights reserved.

14. © Quanta Networks, LLC - All rights reserved.
How does an autonomous car look?
Detection Technologies:
• Cameras (video tagging)
• LIDAR (pulsed laser detection)
• Radar (radio wave detection)
• Ultrasound (sound wave detection)
Compute and Storage:
• 3-6TB of video data per hour
• 2.5 Trillion Operations/sec (2018)
• 24 Trillion Operations/sec (2020)

15. © Quanta Networks, LLC - All rights reserved.

16. © Quanta Networks, LLC - All rights reserved.
How does the ADAS infrastructure look?
1) City Services
2) Carriers
3) Vehicles

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Self-Driving Autonomous Vehicles Agenda
The impact to data management and analytics03

18. © Quanta Networks, LLC - All rights reserved.
Auto Manufacturer Statistics
• 2016 auto production = 94 Million
• Top 14 manufacturers = 75 Million
• Commercial Fleets will be first to adopt
ADAS
• Ride-Share companies are next to adopt
ADAS
• Consumer adoption will come last
Manufacturer 2016 Auto Production
Toyota 10,213,486
Volkswagen Group 10,126,281
Hyundai / Kia 7,889,538
General Motors 7,793,066
Ford 6,429,485
Nissan 5,556,241
Honda 4,999,266
Fiat Chrysler 4,681,457
Renault 3,373,278
Peugeot Groupe PSA 3,152,787
Suzuki 2,945,295
SAIC/VW 2,566,793
Daimler 2,526,450
BMW 2,359,756
TOTALS 74,613,179
Source: OICA Statistics

19. ©2018 Quanta Networks, LLC. All rights reserved.
ADS Compliance Complexities
Many Governments and Agencies are setting policy and law
Federa
l
State
Local
MultipleCountrieswillsetPolicyandLaws
Safeguard PII and Establish an
audit trail with an Opt-In and
Opt-Out Option
Personal Identifiable
Information (PII)
Validate compliance to safety
regulations and establish an
audit trail reporting system
Safety
(Personal and Property)
Establish responsibility tracking
for vehicle control monitoring
with auditing and reporting
Liability Assignment
(Accidents)

20. ©2018 Quanta Networks, LLC. All rights reserved.
United States Compliance Agencies
ADS
Policy
(USA)
US DOT
US FCC
State & Local
- Office for Policy (OST-P)
- Federal Motor Carrier Safety Admin (FMCSA)
- Federal Highway Admin (FHWA)
- State DMV
- State Congress
- Office for Research and Technology (OST-R)
- Federal Transit Admin (FTA)
- Office Engineering and Technology (OET)
- Enforcement Bureau (EB)
- Public Safety & Homeland Security Bureau (PSHSB)
- Office for Planning and Policy (OSP)
- Local agencies

21. ©2018 Quanta Networks, LLC. All rights reserved.
US Department of Transportation - NHTSA Safety Elements
For Autonomous Driving Systems (ADS)
System Safety
Operational
Design Domain
Object and Event
Detection and
Response
Fallback (Minimal
Risk Condition)
Crashworthiness
Vehicle
Cybersecurity
Human Machine
Interface
Validation
Methods
Post-Crash ADS
Behavior
Data Recording
Consumer
Education and
Training
Federal, State,
and Local Laws
01 02 03 04
08 07 06 05
09 10 11 12

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Mobility & smart cites are powered by big data
• Autonomous Vehicles
Represents one of many “smart
technologies” that are
connected as an ecosystem
• Big Data provides the means
by which this ecosystem will be
able to communicate

23. © Quanta Networks, LLC - All rights reserved.
Simplicity with understanding your data
• Autonomous Vehicles
Represents one of many “smart
technologies” that are
connected as an ecosystem
• Big Data provides the means
by which this ecosystem will be
able to communicate
RD
DC
HP
C
DC
RD
HP
C
RD
DC
RD
HP
C

24. © Quanta Networks, LLC - All rights reserved.
Simplicity with understanding your data
RD
DC
HP
C
DC
RD
HP
C
RD
DC
RD
HP
C
Solutions to this Data Challenge:
Knowi – Analytics across distributed data sources
Quanta – Systems Integration & Compliance
Cloudera – Compute and storage management for all
data types

25. © Quanta Networks, LLC - All rights reserved.
Simplicity with understanding your data
Data Integration & Compliance
RD
Source #5DC
Source #1
HP
C
Source #6
RD
Source #3
DC
Source #4
HP
C
Source #2
Multi-Source
Analytics

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Demo: Analyzing Connected Vehicle Data

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About the Dataset
Tampa, FL THEA Connected Vehicle Pilot
Data Source: https://data.transportation.gov/Automobiles/Tampa-CV-Pilot-Basic-Safety-Message-BSM-Sample/nm7w-nvbm
A car or truck equipped with connected vehicle
technology “talks” wirelessly to other vehicles,
traffic signals, crosswalks and more. This
wireless communication can help prevent
crashes, keep traffic moving and even improve
fuel efficiency.
THEA has equipped 10 buses, 10 streetcars and
the cars of 1000+ individual volunteers with this
exciting new technology to make downtown
Tampa a safer, smarter place to walk, ride and
drive.
We’ll explore with Knowi:
• Partial view of one day of data from 3/21/19
• Connecting to data via REST-API
• Working natively with JSON file
• Different visualizations
• Drill-downs
• Natural Language queries

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Where to Get More Information
• https://knowi.com/solution/iot-analytics
• Sign up for free 30-day trial
• Contact us at manny@knowi.com or kim@knowi.com
• http://www.quantanetworks.com/
• Contact us at mike@quantanetworks.com
• https://www.cloudera.com/
• Contact us at ashley@cloudera.com