The document discusses various ways that artificial intelligence is being implemented across different functions in the automotive industry, including marketing, operations, research and development, and human resources. It provides examples of companies like Outsell that provide AI-driven marketing platforms for automotive dealerships, and Drive.AI that is working on self-driving vehicle technology. It also discusses how companies like Auburn VW and Bruce Titus Automotive Group have benefited from using Outsell's personalized digital marketing solutions, as well as how Nauto is developing intelligent driver safety systems using edge and cloud-based AI.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
Advanced driver assistance systems are designed to increase car safety more generally road safety.
Basically Advanced driver assists(ADS) systems helps the driver in the driving process and enables safe, relaxed driving. It makes sense to get your new car with driver assist features if you find it at a reasonable price as it helps you drive easily and safely in everyday use.
Artificial Intelligence In Automotive Industry: Surprisingly Slow Uptake And ...Bernard Marr
Artificial intelligence has been a hot topic in the automotive industry for years, and we have seen rapid advances in things like autonomous driving. It, therefore, comes as a bit of a surprise that new research shows a slower than expected AI adoption rate. Let’s look at why.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
A self-driving car is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving cars can detect surroundings, using a variety of techniques such as radar, GPS, and computer vision.
<<instagram>> https://www.instagram.com/mike_sarafoglou/
<<youtube>> https://www.youtube.com/channel/UCZQDCo6W-3wTkbrkHbgjs2w
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles.How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
Advanced driver assistance systems are designed to increase car safety more generally road safety.
Basically Advanced driver assists(ADS) systems helps the driver in the driving process and enables safe, relaxed driving. It makes sense to get your new car with driver assist features if you find it at a reasonable price as it helps you drive easily and safely in everyday use.
Artificial Intelligence In Automotive Industry: Surprisingly Slow Uptake And ...Bernard Marr
Artificial intelligence has been a hot topic in the automotive industry for years, and we have seen rapid advances in things like autonomous driving. It, therefore, comes as a bit of a surprise that new research shows a slower than expected AI adoption rate. Let’s look at why.
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
A self-driving car is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving cars can detect surroundings, using a variety of techniques such as radar, GPS, and computer vision.
<<instagram>> https://www.instagram.com/mike_sarafoglou/
<<youtube>> https://www.youtube.com/channel/UCZQDCo6W-3wTkbrkHbgjs2w
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles.How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
Technology that is going to create a revolution in every Industry including Health care. What is it, what are the tools and what is the outcome?
NASA started the research on Twins due to space travel and the need to have real time feedback of components. Now it is extending to even Health care to having a Human twin.
ITS "Intelligent Transportation System" Guided Vehicle using IOT ProjectMohamed Abd Ela'al
Our project is design and implementation for ITS technology integrated with partial autonomous vehicle using internet of things to make the vehicle controlled according to the surrounding data
Four years back, during my interactions with certain big groups, I had offered to set up the Hub and spoke model for pilot projects in Industry 4.0. I thought a few of them will accept and become the hubs for smart manufacturing in India. Support was readily available from external trade development councils. Then came "demonetization" and "GST" and all these big groups disappeared. Then I approached some of the SME groups and textile associations. But as was expected after a 6 hour presentation, they maintained silence. I was expected to bring in money from these external councils. Investment was a big factor. I was not even paid for these "free" presentations.
Cut to a few days back, after 4 years of silence, I was approached by some of the above whether we can have the Hub and Spoke model projects of Industry 4.0 in India. I offered them end to end solutions. And listed out the cost factor. To my surprise, with so much research material available on Industry 4.0 projects, why are we hesitant to spend money for something good baffles me. For eg. in today's age if I want to buy a mobile, will I buy a Smartphone or an old relic. Even the poor desire a smartphone. Then why as a factory owner, we shy away from investing in Industry 4.0 technologies.
Then what is the way forward is the question oft asked. So I gave them another "free" presentation. Hope they buy the smartphone at least now.
DEVNET-1145 How APIs are Driving City DigitizationCisco DevNet
Smart-city solutions connected over an intelligent network platform are the foundation for city digitization. Cisco now offers application program interface (API) tools for developers to create applications for smart cities that frame and focus big-data streams, delivering relevant and timely content to improve city operations and enhance daily life. See how select visionary cities are already working with Cisco to leverage Smart+Connected Communities solutions and how an enormous opportunity now exists to develop applications that transform the data into useful information for city leaders, businesses, citizens and visitors as well as for use in other city processes. Cities are attracting new businesses and entrepreneurs and generating an economic boom in application development to meet urban service requirements of every stripe in cities today and broadly drive city digitization.
Comprehensive program for Agricultural Finance, the Automotive Sector, and Empowerment . We will define the full scope and provide a detailed two-week plan for identifying strategic partners in each area within Limpopo, including target areas.:
1. Agricultural : Supporting Primary and Secondary Agriculture
• Scope: Provide support solutions to enhance agricultural productivity and sustainability.
• Target Areas: Polokwane, Tzaneen, Thohoyandou, Makhado, and Giyani.
2. Automotive Sector: Partnerships with Mechanics and Panel Beater Shops
• Scope: Develop collaborations with automotive service providers to improve service quality and business operations.
• Target Areas: Polokwane, Lephalale, Mokopane, Phalaborwa, and Bela-Bela.
3. Empowerment : Focusing on Women Empowerment
• Scope: Provide business support support and training to women-owned businesses, promoting economic inclusion.
• Target Areas: Polokwane, Thohoyandou, Musina, Burgersfort, and Louis Trichardt.
We will also prioritize Industrial Economic Zone areas and their priorities.
Sign up on https://profilesmes.online/welcome/
To be eligible:
1. You must have a registered business and operate in Limpopo
2. Generate revenue
3. Sectors : Agriculture ( primary and secondary) and Automative
Women and Youth are encouraged to apply even if you don't fall in those sectors.
"Trans Failsafe Prog" on your BMW X5 indicates potential transmission issues requiring immediate action. This safety feature activates in response to abnormalities like low fluid levels, leaks, faulty sensors, electrical or mechanical failures, and overheating.
Symptoms like intermittent starting and key recognition errors signal potential problems with your Mercedes’ EIS. Use diagnostic steps like error code checks and spare key tests. Professional diagnosis and solutions like EIS replacement ensure safe driving. Consult a qualified technician for accurate diagnosis and repair.
Things to remember while upgrading the brakes of your carjennifermiller8137
Upgrading the brakes of your car? Keep these things in mind before doing so. Additionally, start using an OBD 2 GPS tracker so that you never miss a vehicle maintenance appointment. On top of this, a car GPS tracker will also let you master good driving habits that will let you increase the operational life of your car’s brakes.
Core technology of Hyundai Motor Group's EV platform 'E-GMP'Hyundai Motor Group
What’s the force behind Hyundai Motor Group's EV performance and quality?
Maximized driving performance and quick charging time through high-density battery pack and fast charging technology and applicable to various vehicle types!
Discover more about Hyundai Motor Group’s EV platform ‘E-GMP’!
Why Is Your BMW X3 Hood Not Responding To Release CommandsDart Auto
Experiencing difficulty opening your BMW X3's hood? This guide explores potential issues like mechanical obstruction, hood release mechanism failure, electrical problems, and emergency release malfunctions. Troubleshooting tips include basic checks, clearing obstructions, applying pressure, and using the emergency release.
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...Autohaus Service and Sales
Learn what "PARKTRONIC Inoperative, See Owner's Manual" means for your Mercedes-Benz. This message indicates a malfunction in the parking assistance system, potentially due to sensor issues or electrical faults. Prompt attention is crucial to ensure safety and functionality. Follow steps outlined for diagnosis and repair in the owner's manual.
What Exactly Is The Common Rail Direct Injection System & How Does It WorkMotor Cars International
Learn about Common Rail Direct Injection (CRDi) - the revolutionary technology that has made diesel engines more efficient. Explore its workings, advantages like enhanced fuel efficiency and increased power output, along with drawbacks such as complexity and higher initial cost. Compare CRDi with traditional diesel engines and discover why it's the preferred choice for modern engines.
𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
Over the 10 years, we have gained a strong foothold in the market due to our range's high quality, competitive prices, and time-lined delivery schedules.
What Does the Active Steering Malfunction Warning Mean for Your BMWTanner Motors
Discover the reasons why your BMW’s Active Steering malfunction warning might come on. From electrical glitches to mechanical failures and software anomalies, addressing these promptly with professional inspection and maintenance ensures continued safety and performance on the road, maintaining the integrity of your driving experience.
In this presentation, we have discussed a very important feature of BMW X5 cars… the Comfort Access. Things that can significantly limit its functionality. And things that you can try to restore the functionality of such a convenient feature of your vehicle.
5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
IBS monitors and manages your BMW’s battery performance. If it malfunctions, you will have to deal with an array of electrical issues in your vehicle. Recognize warning signs like dimming headlights, frequent battery replacements, and electrical malfunctions to address potential IBS issues promptly.
4. OUTSELL
• Outsell offers the AI-driven marketing automation platform that empowers automotive dealerships
and OEMs to create lasting customer relationships driving incremental sales and profits.
• In the present competitive market the automotive industries should be active on a wider range of
platforms, devices, and channels than ever before.
• From social media and email campaigns to direct mailers and out-of-home promotions, the ways we
reach consumers has grown at a rapid pace – and is propelling marketing opportunities forward.
• Within this ever-evolving landscape, effectively targeting the in-market car shopper across a
complete range of channels often makes the difference between a high conversion rate and a loss of
business.
• If you can tailor your message to reach your audience exactly where they are in their individual
lifecycle, your business will see exponential benefits.
Outsell is one such company that provides harnesses massive amounts of data creating accurate and
powerful consumer profiles that engage your customers and prospects exactly where they are in their
individual lifecycles.
5. IT PROVIDES AUTOMOTIVE INDUSTRY WITH NEW
OPPORTUNITIES FOR:
How can you use AI to enhance marketing campaigns.
How will AI affect the auto-dealers marketing strategy.
What criteria should you use when selecting AI solutions.
6.
7. AUBURN VW USES OUTSELL FOR
PERSONALIZED DIGITAL MARKETING
Outsell has offered personalized automated follow-up that help strengthen customer-relationship, reports,
identify in market buyers for salesperson.
Auburn VW drives more revenue to their business by transforming how they engage customers and prospects
throughout customer lifecycle.
Using outsell’s technology dealers are tipped off when customers are most ready to engage, buy or service.
Outsell makes dealers lives easier by keeping them in front of customers on a consistent, individualized basis,
and automating follow up.
Their multi-channel customer engagement platform manages millions of interactions every month for dealers
representing all major automotive brands
8. BRUCE TITUS AUTOMOTIVE GROUP USES ARTIFICIAL
INTELLIGENCE SOLUTIONS
- EMBRACING THE FUTURE TO WIN
TODAY’S CUSTOMERS
• In a place like Seattle/ Tacoma, which is metro area that is highly competitive
across all the brands, this is where Bruce Titus wanted to stand out of crowd in
both new cars and used car sales. In order to raise above the competition they
need to increase strength of its platform in three ways:
– Relevance-knowing what the customers present car status is and helpig the
customer in better way that a dealership can build ever lasting relationship.
– Consistency of message-“They wanted to maintain consistency in marketing, both
from a dealership standpoint — and want every message that they send out to look
like a ‘Bruce Titus’ message
– Customer retention-streamline the customer lifecycle for the dealerships.
9. THE BENEFITS THAT COMPANY HAS DERIVED
Increase in the sales and
profitability-boosting incremental
sales by at least 5% every month
Reduced the digital marketing cost.
The new technology was much
more easier to use than before.
High accurate report generation
regarding the market and in –
market buyers.
There was 75% reduced time spent
on email marketing.
Successful to automate email
newsletters and other ongoing
campaigns – “set it and forget it”.
11. DRIVE.AI
• Founded in 2015 by graduate students
out of Stanford University’s Artificial
Intelligence labs.
• Uses deep learning to create self driving
systems that are adaptive and scalable
• Work with public and private partners to
solve transportation challenges quickly
and safely with geofenced level 4 self
driving solutions
• Launched self-driving on-demand service
in Fresco, Texas that covers a 2 mile route
and can be hailed using a smartphone app
• Cars capable of interacting with
passengers
12. DEUTSCHE BAHN
• One of the most advanced rail networks in the world
• Adapted KONUX solutions to replace manual
measurements with a position measurement system
based on custom-made MEMS (micro-
electromechanical) sensor clusters
• This enables autonomous and continuous monitoring
with wireless data transmission
• The data is pre-processed in the sensors, and machine
learning algorithms in the cloud detect critical wear.
• The benefits include a cost reduction of 25%, achieved
by minimizing downtime and maximizing performance
14. USED CASES
• NVIDIA PILOTNET – Deep Learning System for self driving car controller
Source: Explaining How End-to-End Deep Learning Steers a Self-Driving
Car, By Mariusz Bojarski, Larry Jackel, Ben Firner and Urs Muller, May 23,
2017; https://devblogs.nvidia.com/deep-learning-self-driving-cars/
• NAUTO’s Intelligent Driver Safety System
Source: Inside Nauto with Annie Cheng, By Jon So, Jul 09, 2018;
https://blog.nauto.com/inside-nauto-with-annie-cheng-vp-of-engineering
15. NVIDIA
PILOTNET
• As part of our autonomous driving research, NVIDIA
has created a deep-learning based system, known
as PilotNet, which learns to emulate the behavior of
human drivers and can be deployed as a self-
driving car controller
• PilotNet is trained using road images paired with
the steering angles generated by a human driving a
data-collection car. It derives the necessary domain
knowledge from data, eliminating the need for
human engineers to anticipate what is important
and to forsee all the necessary rules
16. TRAINING
THE PILOTNET
SELF DRIVING
CAR SYSTEM
• It is based on convolutional neural network (CNN)
is trained to output steering commands given input
images of the road ahead.
• The training data consists of images from a front-
facing camera in a data collection car coupled with
the time-synchronized steering angle recorded
from a human driver. The motivation for PilotNet
was to eliminate the need for hand-coding rules
and instead create a system that learns by
observing. Initial results are good, although major
improvements are still required before such a
system can drive without the need for human
intervention.
17. EXPLAINING PILOTNET RESULTS
Fig.1
• NVIDIA developed a simple method for highlighting those
parts of an image that are most salient in determining
steering angles. They call these salient image sections the
salient objects.
• Fig. 1 the bases of cars are highlighted as well as lane-
indicator lines (dashed and solid), while a nearly horizontal
line from a crosswalk is ignored. Also there are no lanes
painted on the road, but the parked cars which indicate the
edge of the drivable part of the road are highlighted
• Figure 2 shows a view inside our test car (left). At the top of
the image we see the actual view through the windshield. A
PilotNet monitor is at the bottom center displaying
diagnostics. It further shows a blowup of the PilotNet
monitor (right). The top image is captured by the front-
facing camera. The green rectangle outlines the section of
the camera image that is fed to the neural network. The
bottom image displays the salient regions. Note that
PilotNet identifies the partially occluded construction
vehicle on the right side of the road as a salient object. To
the best of our knowledge, such a vehicle, particularly in the
pose we see here, was never part of the PilotNet training
data.
Fig.2
18. ANALYSIS
• Input images are taken into two classes.
• Class 1 is meant to include all the regions that have a significant effect on the steering angle output by
PilotNet. These regions include all the pixels that correspond to locations where the visualization mask is
above a threshold. These regions are then dilated by 30 pixels to counteract the increasing span of the
higher-level feature map layers with respect to the input image. The exact amount of dilation was
determined empirically.
• The second class includes all pixels in the original image minus the pixels in Class 1.
• If the objects found by our method indeed dominate control of the output steering angle, we would expect
the following: if we create an image in which we uniformly translate only the pixels in Class 1 while
maintaining the position of the pixels in Class 2 and use this new image as input to PilotNet, we would
expect a significant change in the steering angle output. However, if we instead translate the pixels in Class
2 while keeping those in Class 1 fixed and feed this image into PilotNet, then we would expect minimal
change in PilotNet’s output
19. N A U T O ’ S I N T E L L I G E N T D R I V E R S A F E T Y
S Y S T E M
20. NAUTO’S INTELLIGENT
DRIVER SAFETY SYSTEM
• Detection of distraction and assess situational risk in
real time
• The approach to AI is unique in that they are applying
AI at two points: at the edge and in the cloud. The
combination gives us an intelligent, closed-loop driver
safety platform.
• Challenge is different from many IoT environments
that are connected over stable networking
environment. For stationary devices, which operate in
predictable networking environments, AI can be run in
the cloud.
• However, the luxury is not available since the vehicles
are on the move, so devices need to operate in
variable networking conditions. This creates an
additional challenge, as the devices need to function
regardless of the network connection, which means to
intelligently choose what runs on the device versus
the cloud.
21. PRINCIPLE
• STOP COLLISION AT SOURCE
• When we detect distraction or other high-risk events, we need to be able to alert drivers in
real-time to help coach and stop risky behaviours, and simultaneously, upload these high-
risk events to the cloud to ensure that fleet and safety managers get the right data at the right
time — even when we aren’t guaranteed a well-connected environment. We’re able to do
this by leveraging AI to assess and understand the driver in the cabin and road ahead. For
example, inside the vehicle, AI is integrated into proprietary algorithms on the device that
we use to assess driver behavior. One example is our distraction algorithm, which processes
incoming images in real-time to detect whether or not driver distraction occurred.
• Outside the vehicle camera, we use machine learning and deep learning technologies to not
only detect objects and understand overall context. By using AI on the edge, we’re able to
operate reliably in any environment, regardless of networking connection conditions.
24. ATS SYSTEM
R e c r u i t i n g a n d
h i r i n g t o o l
W H Y AT S ?
E a s e o f s o r t i n g a n d
c o l l e c t i n g
O r g a n i z e d a s w e l l
a s E E O C c o m p l i a n t
S a v e t i m e b y
a u t o m a t i c a l l y
s u r f a c i n g a n d
h i g h l i g h t i n g t o p
c a n d i d a t e s
25. H O W I T S W O R K S ?
• collect and store resumes in a database
• Viewing Applications
• Automatic Rankings
• Keyword Searches
26. DRAWBACK
• S o m e AT S p a r s e t h e d o c u m e n t
i n t o a d i g i t a l p r o f i l e t o m a k e
t h i n g s u n i f o r m a n d s e a r c h a b l e ,
c a u s i n g y o u r r e s u m e i n f o r m a t i o n t o
g e t d i s t o r t e d o r l o s t .
• A c c t o a s u r v e y, 6 2 p e r c e n t o f
c o m p a n i e s u s i n g a p p l i c a n t t r a c k i n g
s y s t e m s a d m i t “s o m e q u a l i f i e d
c a n d i d a t e s a r e l i k e l y b e i n g
a u t o m a t i c a l l y f i l t e r e d o u t o f t h e
v e t t i n g p r o c e s s b y m i s t a k e ,”
27.
28. HIREVUE:
SONIC
AUTOMOTIVE
• S o n i c a u t o m o t i v e i n f o r t u n e 5 0 0 b r a n d i s
o n e o f t h e l a r g e s t a u t o m o t i v e r e t a i l e r s i n t h e
c o u n t r y w i t h m o r e t h a n 1 0 0 l o c a l l y b r a n d e d
d e a l e r s h i p s n a t i o n w i d e .
• “ O n e o f t h e b i g g e s t h u r d l e s t o o v e r c o m e
w a s t h e h i r i n g t e a m s ’ t i m e . w e k n e w w e h a d
t o f i n d a b e t t e r w a y t h a t w a s m o r e e f f i c i e n t ,
e m p o w e r u s t o f i n d b e t t e r t a l e n t , a n d
p r o v i d e d a n i m p r o v e d c a n d i d a t e e x p e r i e n c e .”
J o h n Pe r e z
( S e n i o r d i r e c t o r o f t a l e n t a c q u i s i t i o n )
29. •S o n i c a u t o m o t i v e r o l l e d o u t H i r e v u e
a s a s o l u t i o n t o o f f e r s c a l e , e f f i c i e n c y
a n d c o n s i s t e n c y t o t h e i r h i r i n g
p r o c e s s e s .
•A p p l i c a n t s a r e i n v i t e d t o t a k e a v i d e o
i n t e r v i e w a n d a s s e s s m e n t a n d t h o s e
h i g h e s t s c o r i n g a r e s e n t t o t h e h i r i n g
t e a m s t o r e v i e w .
• S o n i c a u t o m o t i v e a l s o s a w t h e i r
r e t e n t i o n i m p r o v e o v e r 2 0 % w h e n
h i r i n g t e a m s u t i l i z e d t h e n e w h i r i n g
s o l u t i o n s .
30. HOW IT
WORKS?
First step, is to get a machine
transcription of the Interview audio
analyze every word, voice track,
expressions on the video. so it
combines print, audio and video
analysis.
analytical dashboard uses 10,000
attributes to compare every
response.
Then it offers dials on the candidate’s
engagement, motivation ,empathy
and other categories. And the
offers a percentage for each
candidate.
percentage is not telling the
company whom to hire but only
suggesting which ones to pursue
first.
31. ADVANTAGES
• C A N D I D A T E S R E C O R D A N S W E R S O N T H E I R
O W N S C H E D U L E S ,
• S T O R I N G T H E I N T E R V I E W S I N T H E C L O U D ,
• M A K I N G T H E M A V A I L A B L E T O R E C R U I T E R S
A N D H I R I N G M A N A G E R S A T T H E I R
C O N V E N I E N C E 2 4 / 7 .
• M A N A G I N G T H E M A S S I V E S C H E D U L I N G
P R O B L E M
• S A V E S T R A N S P O R T A T I O N C O S T
• B E F O R E H I R E V U E S H I P P E D C A N D I D A T E S A
W E B C A M . N O W , T H E O T H E R 8 5 % O F
C A N D I D A T E S R E C O R D T H E V I D E O I N T E R V I E W S
O N T H E I R O W N D E V I C E S — 4 0 % O N T H E I R
S M A R T P H O N E S ( A F E W O N T A B L E T S ] , A N D 6 0 %
O N T H E I R L A P T O P S
32. DISADVANTAGES
• C o n n e c t i v i t y p r o b l e m s
• s o m e c a n d i d a t e s a r e n o t c o m f o r t a b l e
b e i n g " o n - c a m e r a "
• B a d l i g h t i n g c a n p r e s e n t a n
u n f l a t t e r i n g v i e w.
• T h i s m e t h o d d o e s n ' t w o r k f o r t o p
l e v e l m a n a g e m e n t p o s i t i o n s .
33. ARTIFICIAL INTELLIGENCE (USED CASES)
–
FINANCE FUNCTION
According to Experian Automotive, More than 80 percent of new
vehicles sold across the country are either loaned or leased. Of
these transacting customers, more than 70 percent found it
challenging to gather financing information
34. • founded in 2009
• Applying big data and machine
learning to credit underwriting.
• Using ZAML platform which can turn
data from any source including messy
or erroneous data into highly predictive
credit decision information”.
• Using google style machine learning
algorithms and sophisticated
mathematical models
35. TECHNOLOGY
Since 2009, Zest Finance has been developing and refining its
underwriting platform as it provided credit scores for hundreds of
millions of prospective borrowers worldwide. Now, with ZAML, they are
offering end-to-end technology platform and underwriting expertise to
financial firms around the world.
The company is already working with one of the “Big Three” captives to
implement this system for its auto originations.
Data
Assimilation
Rapidly discover,
acquire, and onboard
data sources at a
massive scale
Modeling
Tools
Train, ensemble, and
productionalize machine
learning models in one
streamlined workflow.
Modeling
Explainability
Unpack the “black box” of
machine learning models to
clearly communicate
economic value and support
compliance.
36. GINIMACHINE
GiniMachine is an AI-based credit scoring solution that blends
advanced machine learning techniques with lender’s historical
data.
Key benefits of the solution are:
1. Fast, fully autonomous and automated model building process.
2. Ease of use
3. Built-in evaluation and validation tools.
4. Ability to use unstructured, big data., imperfect data and missing
data.
5. High predictive power. Typically, up to 15 points of the Gini Index
compared to traditional models based on logistic regression
37. ARTIFICIAL INTELLIGENCE IN ACTION
Combine advanced machine learning techniques with your loan
portfolio history to uncover the full potential of your data. Build unique
scoring models in a matter of minutes — not weeks, and get an
accurate way to assess individual default risk.
Gini Machine is a full-scale credit scoring platform that utilizes
advanced machine learning algorithms and your historical data. The
system automatically builds, validates and deploys high-performing
risk models.
38. Model Building
Gini Machine needs at least 1000 records of previously issued loans with a
status: good (repaid) or bad (overdue). The model builder does not require
any preliminary analysis or data preparation.
Validation
Every time the model is built, Gini Machine automatically provides you
with a detailed validation report. Track the model's discriminatory power,
all valuable insights and relevant statistics, like the calculated Gini Index,
important features, etc.
Deployment
The models can be instantly integrated into your credit scoring process.
Once the model is created and validated, it’s ready for scoring calculations
& real-time predictions.
40. USE CASES OF
AI IN IT
FUNCTIONAL
AREA OF
AUTOMOBILE
INDUSTRIES
Use Case 1: How AI can be used in Telematics?
• Telematics is the branch of IT which associates with
long-distance transmission of computerized
information.
Case A:
• Remoto, AI-First turnkey connected car platform
for OEMs and large dealership groups uses AI and
ML to provide recommendations to customers
based on their incoming telematics data.
• They collects terabytes of data from connected cars
and have created a data lake on the basis of
Microsoft Azure to store these data.
41. Working:
Remoto AI is capable of processing 1.5 terabytes of data from connected
car users from various countries.
It analyzes and evaluates customer’s lifestyle and based on that it
accessories and can even sell cars based on driving and individual styles.
Moreover from the telematics data collected, it can predict when the user
need to give their cars for service.
Data collected includes; speed rate, total driving time, amount of time
spent at certain periods, total number of trips, how long the trunk was
or closed etc.
Based on these data it allows dealers to provide an offer to the customer.
42. • Use Case 1:
• Tesla employs similar technologies to connect with its fleet of cars.
• It crowd sources data from all its vehicles and drivers using internal and external
sensors, send data directly to cloud, analyzes them and assists drivers in taking
actions.
• Data is used to generate data-dense maps which features several features
from traffic speeds to the location of hazards on the road.
• A second level of decision making exists where machine learning in the cloud
helps in educating the fleet of cars hence enabling them to take actions that are
required.
• A third level of decision-making also exists, with cars able to form networks with
other Tesla vehicles nearby in order to share local information and insights.
43. • Use Case 2:
• Artificial Intelligence which is a major component of Industry 4.0 can be further used to
determine the reasons of an accident and also to predict emergency situations inside the
car.
• A startup firm in India developed an AI system uses powerful camera that employs
machine learning techniques to analyze the driving patterns. It thereby helps in
determining the cause of accidents.
• AI enabled smarter sensors can detect any technical or medical emergency situations
inside the car, thus saving from any emergencies. These sensors can also act as security
guard for cars in our absence and uses AI technologies to make predictions.
44. ANECDOTE OF
THE
METHODOLOGY
ADOPTED IN
USED CASES
Domain
Methodology
Used Case 1 Used Case 2
Marketing
Supervised Learning
Unsupervised
Learning
Operations
Supervised Learning
Supervised
Learning
R&D
Supervised & Re-
inforcement Learning
Re-inforcement
Learning
HR
Unsupervised Learning
Machine Learning
& Re-inforcement
Learning
Finance Supervised
Re-inforcement
Learning
IT Unsupervised Learning
Unsupervised
Learning