The document discusses the benefits and potential of Cloud of Everything (COE) technology in various sectors including aviation. Some key points: - COE, which includes technologies like cloud, IoT, AI, can help address global issues like poverty, disease, and leadership challenges. It aims to achieve the UN's 17 sustainable development goals. - COE can help fight COVID-19 by detecting infected cases, monitoring health remotely, raising awareness, and establishing new health monitoring systems. - While the pandemic has negatively impacted many industries like retail and aviation, COE technologies are expected to boost sectors like healthcare, smart cities, education and more in the future. Aviation in particular could see benefits like reduced delays,

2. Leadership in The COE Technology of twenty-first
century Beyond covid 19 Era I
◦ Leadership in the age of 21st century technology, which is a cloud technology of things different from Leadership in
any other era, one must understand and become familiar with this technology knowing its benefits and uses and avoiding
bad use of it in addition to lead in the era of Corona virus and after it and lead in the case of work from a different
distance also
◦ The technology of the twenty-first century is considered one of the technologies that approach the problems of
individuals, society, countries and the world as a whole. By activating this technology in the world, it can solve the
problems of poverty, diseases, epidemics, violence, management and leadership. By activating it, the elderly and people
with special needs can be helped and given the opportunity to women like men in all fields and to build a generation of
children. At a high level of education and health, and by activating them in the year 2030, all over the world, the
seventeen sustainable development goals can be achieved.
◦ It is necessary to make sure this time that the technological gap between countries as a whole and between women and
men between generations of leaders in the world as a whole is reduced, and that no one is left behind in this technological
revolution, as happened before with the existence of technological gaps.
◦ Cloud of Everything project focuses on spreading awareness of the benefits of this technology in all areas, such as
education, health, energy, and focusing on Aviation for my work and taking Aviation from harsh conditions in addition to
that by activating this technology in aviation is a challenge and with its success we ensure the success of activating this
technology in all areas because the aviation environment is dynamic. It is high-speed, very dynamic and includes all
fields within it, including education, health, energy, etc.

3. Leadership in The COE Technology of twenty-
first century Beyond covid 19 Era II
◦ The Cloud of Everything project started in 2013, and since its inception until now, updates on this are constantly being
published in international journals, as well as in international books and social media, in addition to discussing this in all
international forums on the continent of Africa, Asia, America, Europe, and examples from China, Russia and America.
◦ I have been exposed to many challenges and material, moral and temporal losses that affect and on my family, but we
thank God Almighty for the continuation of my efforts in this project until its date and the evidence is my presence today
in April 2021 at the United Nations Information Summit to present some project points in addition to all international
forums and my nomination To head many scientific organizations and peace organizations, an ambassador of goodwill,
awards for the best researcher, awards for thought, awards for achievement, excellence in education, peace books, and so
on.
◦ We hope to support this COE project and to activate the scope of its uses to include all members of society and all
countries in the world as a whole in 2030, that is, after 9 years of its date, and to allocate a budget for it, and change lies in
changing its exchange aspects by stopping wars in the world and allocating what is spent on wars in this technology and
activating the laws necessary to set restrictions For use in causes of peace and progress, not reasons for war and
destruction.
◦ We hope that the world as a whole will be delivered to future generations in a better way than it is now in education,
health and all fields as a whole. The opportunity is still available for the current generation to do that for future
generations. .

6. 6

7. Ubiquitous/Pervasive Computing
Calm technology: embedded, invisible, seamlessly, unobtrusive,
intelligent.
7/30
Image source:
Friedemann Mattern
(ETH Zürich)

8. Pervasive Computing Era

10. Example Projects: Oxygen
◦ Oxygen (MIT)
◦ Pervasive human-centered
computing.
◦ Goal of Oxygen is bringing
abundant computation and
communication, as pervasive and
free as air, naturally into people's
lives.

22. Cloud of things

23. 23/30

24. 24

35. CLOUD OF EVERYTHING
◦ ALL THE Sectors in the WORLD INC Aviation Must recognizes ,Appreciate and Get Benefit of the
technological gift of the 21st century COE INC AI, Block chain, Digital Currency, Cloud, Cloud of
Things, Tactile Internet , Digital Twins, IOT, AR,VR,MR, U commerce, Data and Robotics .
◦ -A key to IT’s response to climate change
◦ Creating smart cities – united communities, a smart planet – protected environment, as well as smart
houses and industries.
◦ - Changing Healthcare by changing the life of a Patient
◦ - Preventing global warming, reconstructing buildings after natural disasters, and combating droughts.
◦ -Sustaining Agriculture crops
◦ -Improving Modern Education, fighting unemployment by creating new job opportunity
◦ - Improving the economic level by growing GDP of a country
◦ -In aviation, reducing travel time and increasing safety and passenger comfort.
◦ -Improving in Home, Healthcare, military, Natural Applications.
◦ - helping elderly and handicapped people and fixing the millennium-old human problems of poverty,
disease, violence, and poor leadership
◦ Achieving the 17sdg&169 Goals UNITED Nation 2030.

36. CLOUD OF EVERYTHING in fighting Covid-19 I
◦ -Behind every ordeal Crisis a grant And Activation of CLOUD OF Everything CLOUT in the entire world
could be the Grant of COVID 19 Pandemic.
◦ Cloud of Things can positively influence the healthcare sector, for instance, by reading the DNA
structure and detecting diseases at early stages. For instance, technologies will help to calculate the
probability of cancer development or study the Parkinson's disease in detail. Smart devices can also
prevent the spread of infections, for example, Zika virus , COVID 19.
◦ - Finding infected cases, learning about the condition.
◦ - writing a report on each case and delivering food and medicine to patients in hospitals to prevent
contact and communication
◦ - using to sterilize streets, and deliver medicines to hospitals and food to avoid infection.
◦ -Measuring fever, temperature, and to the extent of wearing the muzzle and to warn people
◦ - Raising awareness of the danger of the Corona virus and measure the temperature and extent of
wearing the muzzle in remote areas.
◦ - Diagnostic sessions for remote patients, planes, and ambulances without a driver to transport
◦ - Establishing of a new health system for each person on the mobile in three colors green, yellow and
red, allowing green freedom of movement, yellow in certain places, and red with quarantine
◦ -COE IN virus detection and prevention and control of infectious diseases.

37. CLOUD OF EVERYTHING in fighting Covid-19 II
◦ COVID 19 risk levels by activities in a 9th levels the MOST dangerous two levels represent 9th
level places like: LARGE MUSIC CONCERTS, Bars And then 8th level places like: GYMS, SPORTS
STADIUMS, Gyms, Churches and Mosques…ALL IN RED COLOUE.
◦ From level 7 to level 6 in sequence places like schools Basket Ball then, movie theaters,
restaurants all in ORANGE COLOUR
◦ LEVEL 5 LIKE Airplane, Malls in Yellow color and Level 4 in light green like doctor office waiting
room.
◦ Level 3, 2, 1 in dark green and IN sequence like hotels, getting fuel, getting takeout from
restaurant
◦ The Probability of contagion is v High 90% if two person one healthy and other infected does
not wearing a mask and high 70% if the healthy one wear a mask and the infected one
does not wear a mask, and medium 5% if the infected one wear a mask and the healthy
one does not wear a mask, LOW 1.5% IF BOTH Wearing A mask, and none if healthy one stay
at home,.
◦ That is why the most important thing is to detect the infected person by using clout tech and
the people that attach to him by clout to reduce number of infected and dead people
WITH COVID19 infection.

38. CLOUD OF EVERYTHING Statistics I
◦ SOME Bad News Statistics as an effect of COVID 19
◦ - The estimate of U.S. retail e-commerce sales for the first
quarter of 2020 totaled $146.5 billion, a decrease of 21.1
percent (±1.1%) from the fourth quarter of 2019.
◦ -Africa’s 2020 growth have fallen from 3.9% before the
crisis to 0.4% or lower
◦ -In Australia almost 1 million people unemployed and
another 3.5 million on Job Keeper.

39. CLOUD OF EVERYTHING Statistics II
◦ SOME Good News Statistics as an Anti effect of COVID 19 .
◦ “””-The post Covid-19 world will depend more on local supply
chains. Japan has already set up a $200 billion dollar fund to
attract companies to set up manufacturing and factories in
the country”””
◦ “””-if women had equal opportunities to be entrepreneurs,
global GDP could rise by a whopping 5 trillion dollars. “”””
◦ -IOT could eliminate waste up to 150 billion dollar in
industries.(Aviation-healthcare-power-Rail-oil and
Gas)potential of IOT saving 1 per cent 1% across Global
industry.
◦ -5G in USA Will generate 500 billion dollar and 3 million jobs.
◦ -In 2035, 5G will genreate12, 3 trillion dollar global economy
equal to consumer spending in USA at 2016.
◦ -Artificial Intelligent in Aviation Market will grow from 2017 to
2024 with an expected CAGR OF 47%.

44. CLOUD OF EVERYTHING IN Aviation
◦ -67% of aviation companies think that cloud services will change the field to the better
and 37% of organizations have enough funds to implement the technology in work
processes.
◦ COE allowing saving $30 billion on fuel within 15 years
◦ - improving services of air companies and airports by collecting data in real time
◦ - informing passengers of flight delays and cancellations based on the COE service for
information collection and analysis
◦ - Allowing airline customers to wait for a delayed flight at home or in the office rather
than in the airport
◦ - opening a new age of passenger transportation.
◦ -Reducing the number of flight delays and Enhancing on-board safety.
◦ Life jackets, oxygen masks, and workability of airplanes will be constantly checked
◦ -Enabling automatic identification, smart tickets, and smart recommendations on flights.
◦ -Improving the procedures of departure, arrival, holding to become more comfortable
for passengers.
◦ -Notifying passengers about the time of departure, arrival, and staying at an airport
when flights are delayed.
◦ - Enhancing of safety and comfort of passengers during flights
◦ - Transforming airports and aviation in general for Better.

45. CLOUD OF EVERYTHING Statistics in Aviation I
◦ SOME Bad News Statistics that we got as an effect of COVID 19
◦ Foreseen airline revenue losses of up to $252 billion in 2020 (IATA). Previous estimates were at
$113 billion - roughly equivalent to industry losses following the global financial crisis.
◦ Reductions in traffic between 48% and 61%.
◦ Passengers has seen its traffic fall from 10.9 million passengers in March 2019 to 5.7 million in
March 2020
◦ The decline in traffic over the year 2020 should reach 50% and in April 90%. While aircraft
remain on the ground, fixed costs continue to run
◦ The alarming statistics of the airline industry during the Coronavirus crisis
◦ $200 billion in loans to avoid massive bankruptcies
◦ $61 billion spent by companies (cash burn) on Q2/2020
◦ 70 to 90% of air traffic at a standstill
◦ 75 million jobs at risk
◦ a 44% drop in the sector’s revenues for the year 2020.

46. CLOUD OF EVERYTHING Statistics in Aviation II
◦ SOME Good News Statistics that we got as an Anti-effect of COVID 19
◦ - A study by Statista estimates rise in AI revenue from $3221.8 million in 2016 to $89847.26 million in 2025
◦ -According to experts, the in-flight broadband market will grow from an annual $900 million USD to a
potential $30 billion USD by 2035.
◦ -IOT could eliminate waste up to 150 billion dollar in industries.(Aviation-healthcare-power-Rail-oil and
Gas)potential of IOT saving 1 per cent 1% across Global industry.
◦ -Artificial Intelligent in Aviation Market will grow from 2017 to 2024 with an expected CAGR OF 47%.
◦ -MRO-AIR CAN REDUCE ERRORS 50% BY AND INCRESE EFFICIENCY BY 30%
◦ -UP TO 20% DLEAY FROM TURUN AROUND SLOVED BY CLOUT
◦ -REDUCTION 1% IN FUEL JET FUEL using clout tech can SAVE 30 Billion dollar OVER 15 years
◦ -Industrial internet using clout can save 2 Billion Dollars A years for airlines.
◦ -5G in USA Will generate 500 billion dollar and 3 million jobs
◦ -In 2035, 5G will genreate12, 3 trillion dollar global economy equal to consumer spending in USA at
2016.
◦ - AI model that was able to provide forecasts that were between 70% and 80% accurate up to 90 days
before every flight in Ticket prices and crew management

47. CLOUD OF EVERYTHING Statistics in Aviation III
◦ - Before the pandemic struck, 52% of airlines were planning major AI R&D programs within
the next three years, and 45% of airports in the next five and – industry sources are
expecting only 40-50% of their operations to recover by the end of 2020
◦ -Over the next three years 52 per cent of airlines plan major AI programs or R&D, and 45 per
cent of airports will invest in R&D in the next five years, according to the SITA 2017 Air
Transport IT Trends Insights
◦ - As detailed in a 2017 report titled ‘The Future is Predictable’, SITA itself is using AI to tackle
flight disruptions, which the company says can cost the air transport industry $25 billion each
year.
◦ - The data streams are now being harnessed by SITA to create short-term (under 48 hours)
and long-term (48 to 72 hour) delay prediction platforms
◦ - Indeed, SITA’s aforementioned IT trends report predicts that 68 per cent of airlines and 42
per cent of airports plan to adopt AI-driven chat bot services by 2020.
◦ - the benefits of harnessing AI are huge. Supposedly, within one week of deploying six Box
ever applications, Viva Aero bus accrued nearly $1 million in incremental revenue based on
one week’s performance and went on to increase its Net Promoter Score by a staggering
60 percent.

48. CLOUD OF EVERYTHING Statistics in Aviation IV
◦ report by Internet of Things (IOT) and augmented reality (AR) specialist company PTC reported 86%of industrial
enterprises are expected to be moving AR pilot programs into production within the next 12 months.
◦ -BY AR, Boeing reported that aircraft wiring productivity increased by 25% while errors were reduced to practically
zero
◦ -. The MRO is targeting about a 30% reduction in requests from technicians for engineering support, and then the
faster resulting resolution of problems.
◦ - an 8-12% improvement in the efficiency of the operation using an AR headset and related software to follow
maintenance, and 85% believed that the AR approach would reduce errors during the procedure
◦ -85% of aviation accidents happen due to an error made by pilots. However, this clearly suggests that there is
something wrong with the techniques and technologies that pilots use while flying, Even the smallest decisions such
as checking the weather, reading control panels, evaluating the maintenance of an aircraft takes a lot of effort
in the aviation industry. And that is where AR becomes a perfect solution.
◦ -, the market value is supposed to achieve $90 billion worth by 2020.
◦ - Augmented and Virtual Reality (AR VR) Market in Aviation worth $1,372 million by 2025
◦ - The report "Augmented and Virtual Reality (AR VR) Market in Aviation by Technology (AR, VR), Function (Training,
Operations), Component (Hardware, Software), Application (On-Board, Off-Board), Product, Vertical, and Region -
Global Forecast to 2025", is expected to reach USD 1,372 million by 2025 from USD 78 million in 2019, registering a
CAGR of 61.2% from 2019 to 2025.Improved passenger experience is a significant growth driver for the augmented
and virtual reality market in aviation. Reduced chances of human error also drive this market.

58. 10 STELLAR REAL-LIFE
EXAMPLES OF IOT TAKING
FLIGHT IN AVIATION
The Internet of Things (IOT) has really taken off in aviation. We look
at which airlines are emerging as early innovators

59. 1- EasyJet
◦ EasyJet may be a budget airline specializing in affordable travel, but the firm
has really done something quite innovative in the Internet of Things (IOT) space
through wearable technology.
◦ Claiming to be the first airline to use wearable tech, it has equipped cabin crew
and ground staff with wearable tech uniforms.
◦ The new suit is fitted with LEDs on the shoulders and hems to provide visual
guidance to the passengers and built-in microphones for direct communication
with passengers, pilots and amongst the crew members. The uniform also has an
LED based scrolling ticker, on the lapel jacket, that displays basic information
such as the number of the flight, the flight destinations and lighting guidance in
case of emergencies.
◦ EasyJet is also using drones to inspect to its fleet of airplanes.

60. 2- Helsinki Airport
◦ Helsinki Airport in Finland is using Wi-Fi and I Beacons to track
passengers and offer location- based services.
◦ Airport operator Finavia teamed up with local company Walk base to
install dozens of sensors throughout the terminal, and these are able to
track all smartphones from the car park to the terminal. By doing this,
the airport can prevent queues and bottlenecks where they appear, and
also allow retailers to send push notifications to travelers based on their
exact location.

61. 3- Virgin Atlantic
◦ Every single component of Virgin Atlantic’s Boeing 787 is attached to a wireless
airplane network, providing real-time IOT data on everything from performance to
required maintenance.
◦ The aircraft can produce more than a third of a terabyte of data per flight and each one
makes hundreds if not thousands of flights a year. Virgin has to collate and analyze this
data, but is already seeing benefits.
◦ For example, a jet engine that is performing poorly mid-flight is relaying that
information to ground staff throughout its journey. When the plane lands, airport
engineers can then be ready to look into the issue.
◦ “The Internet of Things, in a broad sense, is where we are starting to see everything
from planes to cargo devices getting connected,” said Virgin Atlantic’s then IT director
David Bulman in 2013. “The latest planes we are getting, the Boeing 787s, are
incredibly connected. Literally every piece of that plane has an internet connection,
from the engines, to the flaps, to the landing gear.
◦ “If there is a problem with one of the engines we will know before it lands to make sure
that we have the parts there. It is getting to the point where each different part of the
plane is telling us what it is doing as the flight is going on.”

62. 4- London City Airport
◦ London City Airport claimed to be the world’s first airport to test IOT
after receiving approximately £800,000 in UK government funding to
launch a pilot project in 2013. That pilot project, which has since
become a full-scale deployment, was to develop an interconnected
sensor network and data hub to track and understand passenger flow
and behavior in the airport.
◦ The project enables them to measure passenger journeys (via a
sensor/camera network tracked individuals through the airport), track
assets (GPS, 3G and Wi-Fi devices) and deliver location-based
services to customers. Wi-Fi enabled tracking devices also enables, as
London City Airport claims, a faster turnaround of planes.

63. 5- Miami Airport
◦ Miami Airport has a network of some 500 beacons providing
detailed information and personalized services to customers at its
terminals and various concessionaries.
◦ Miami International Airport’s new localized app, ‘MIAAirport
Official 2.0’, communicates with these beacons, giving gate
information, as well as shopping and dinner details.
◦ Users are able to scan boarding passes and receive turn-by-turn,
blue-dot navigation guides to their gates which will include
estimated walk times, real-time flight updates, even suggestions for
nearby shopping and dining, based on a customizable personal
profile.

64. 6- Lufthansa Airlines
◦ A little less than six months ago Lufthansa went live with the launch of
its RIMOWA Electronic tag, a mobility solution designed to track
luggage from the terminal to the flight.
◦ The RIMOWA Electronic Tag is an electronic luggage tag which
displays baggage info in the same format, size and appearance of typical
paper labels, but on a digital screen built into the luggage unit and
located near the handle.
◦ Travelers with a Rimowa electronic tag-enabled bag can send their
digital boarding info via Bluetooth from their smartphone to check their
bag before they leave home, with details appearing on the bag’s
electronic display. After arriving at the airport, they simply hand it in at
the airline’s automated check-in station.

65. 7- Delta
◦ In October 2015, Delta Air Lines partnered with Bit Stew Systems to deploy an IOT
analytics systems on part of its fleet, with the goal of improving airplane
maintenance.
◦ Aiming to improve aircraft performance, Bit Stew’s Mix Core platform is designed
to unify “billions of traditionally soloed data points across aviation and air traffic
management to increase awareness, discover new business insights, improve
operations and asset performance”.
◦ By ingesting and analyzing vast amounts of aviation data, Bit Stew says it can help
airlines by reducing downtime and lowering fuel costs.
◦ Delta is also using tracking technology from Sedum Wireless to offer GPS tracking
for pets shipped. The system provides real-time location, temperature and humidity
data. As of 2015, the service was offered at a number of U.S. airports.

66. 9- Qantas
◦Qantas worked with Samsung Electronics
Australia to launch an entertainment service that
uses Samsung’s Gear VR headset to offer
passengers a 3D experience in an interactive 360°
cinematic video format.
◦The in-flight VR headsets enable viewers to watch
the latest inflight movies, view the latest Qantas
products or see possible destinations.

67. 8- KLM
◦ KLM has been working with application PaaS provider Mendix to help boost
engineering and maintenance efficiency.
◦ Working with the tech company and using its rapid application development platform,
the Franco-Dutch airline built an equipment tracking app which pulled data from the
countrywide KPN Lora network. This provided engineers with a real-view (on iPads)
as to where each piece of airline maintenance equipment is located.
◦ This increases the efficiency of engineers (engineers spend less time looking to
equipment like generators) and thus KLM expects the project to generate significant
cost savings and process improvements. It is also expected to improve the customer
experience by providing more reliable, on-time flights.
◦ KLM and Dutch airport Schiphol have also invested in local IoT start-up Undagrid,
which uses mesh networking to locate objects in real time.

68. 10- Rolls Royce I
◦ Rolls Royce recently partnered with Microsoft to use IOT
technologies to make its airplane engines ‘intelligent’.
◦ The engine manufacturer has adopted Microsoft’s Azure
IOT Suite and Cortana Intelligence Suite to diagnose
potential faults in engines fitted to aircraft in service around
the globe.
◦ Information on engine health, air traffic control, route
restrictions and fuel use will be collected from hundreds of
sensors inside the engines, and analyzed to detect any
operational anomalies or signs of developing faults.

69. 10- Rolls Royce II
◦ Representatives from Helsinki Airport, KLM and TUI are speaking
at The Internet of Aviation.
The Internet of Things is transforming the aviation industry by
enabling a more seamless passenger journey, increasing operational
efficiency and driving a new age of ‘connected aviation’.
◦ Through early adopter case studies, interactive workshops and
panels, The Internet of Aviation will explore the relevance of IOT
to those involved in passenger experience and e-enablement. From
leveraging beacon technology, to empowering staff with wearables
and using digitally enabled maintenance, discover the wealth of
opportunities IOT offers for airlines and airports to gain a
competitive edge. Email info@iob-media.com for more detail.

71. How the 4 Largest Airlines Use Artificial Intelligence
The U.S. commercial airline system is an economic engine which
generated an estimated $168.2 billion in operating revenue in 2016.
Ticket fares represented 74.5 percent of operating revenue or
$125.2 billion. In 2016, the overall category of transportation
represented approximately 2.7 percent of the national GDP.
Airline passenger traffic is projected to double over the next two
decades. Today, leading airlines are exploring how AI can help
them keep pace with customer demand and improve operational
efficacy, speed and customer satisfaction.

72. To learn how the top four U.S. airlines are using AI, we researched this sector in depth to
help answer questions business leaders are asking today, including:
How are industry leaders like American Airlines and Delta Airlines using AI today?
What have been the tangible results of these airline AI applications?
What are the trends across airline AI applications – and how will they impact the industry’s
future?
This article aims to present a comprehensive look at how the four leading commercial
passenger airlines are using AI. Companies were ranked based
on 2016 operation revenue sourced from company financial reports.
Before we begin exploring each company, we’ll present the common patterns that
emerged throughout our research in this sector.

73. Artificial Intelligence in the Airline Sector – Insights Up Front
The most popular AI applications from the top four industry leaders currently using AI appear to be:
AI Assistants: Responding to customer inquiries and responding to voice commands for domestic
airline flight info and ticket availability through interactions using natural language (see American
Airlines and United below)
Smart Logistics: Machine learning algorithms are being applied to data to help automate airline
operations. (see Southwest below).
Facial Recognition: Facial recognition technology is being used to perform customer identity
verification and to match passengers to their luggage through kiosks (see Delta below, and you may
want to read our full “facial recognition use-cases” article here)
In the full article below, we’ll explore the AI applications of each airline individually. We will begin with
American Airlines, the #1 ranking U.S. commercial airline based on 2016 revenue figures.

74. American Airlines
In 2017, the current leading airline focused its annual app development
competition, HackWars, on “artificial intelligence, drones and augmented
and virtual reality” technologies. HackWars IV, was a 24-hour hack-a-thon
that reportedly brought out over 700 “designers, developers and IT”
professionals. Participants worked in teams aiming to come up with an idea
for an innovative app that would be beneficial for both “customers and
employees.”
The 1st place team, “Team Avatar,” reportedly designed an app that would
allow users to determine the size of their luggage in advance of arriving to
airport or at a kiosk before proceeding to the gate. The winning team also
claimed that their app would allow users to “prepay for any potential
expenses” associated with their luggage.
”

75. Most likely in an effort to protect the idea, American Airlines did not
show a demonstration of how “Team Avatar’s” application would
function in the official video. Based on the three categories of interest
in the competition, it is possible that the winning app was developed
using AI but this is not confirmed. TechEmergence Founder Dan
Faggella states:
“If anything, ‘HackWars’ is a demonstration of AA’s eagerness to
innovate (and to let the press know about it), but it’s symbolic of the
current nascent stage of AI: Businesses all know they should be
applying AI, but are having a hard time finding where and how. If
nothing else, AA seems to at least be making the effort, and we hope
to see more traction with the firm over the years ahead.

76. Delta Airlines
In May 2017, Delta announced a reported $600,000 investment in four automated self-service
bag checking kiosks, including one that will incorporate facial recognition technology. The
airline selected Minneapolis-St. Paul International Airport to debut the four self-service kiosks,
and claims that facial recognition technology will be used to verify customer identity by
matching customer faces to passport photos.
While Delta Airlines doesn’t seem to have their own YouTube video of the new self-service bag
check kiosk, WCCO – CBS Minnesota explained the technology well in a video from earlier
this year:
Evidence of the airlines interest in integrating more self-service and automation into its
operations is evident in its previous initiatives such as “ticketing kiosks and check-in via the Fly
Delta Mobile app”.

77. “We are dependent on technology initiatives to provide customer service
and operational effectiveness in order to compete in the current business
environment. For example, we have made and continue to make
significant investments in delta.com, mobile device applications, check-
in kiosks, customer service applications, airport information displays and
related initiatives, including security for these initiatives. The
performance, reliability and security of the technology are critical to our
ability to serve customers.” – 2017 Annual Report
Delta claims that previous innovations mentioned above have helped to
streamline customer traffic in airports and have also “drastically improved
customer satisfaction scores.” However, the airline does not specifically
provide any data pertaining to customer feedback in the press release.
(Readers interested in customer service AI applications may want to read
about the innovative AI kiosk ideas that we covered in our fast food AI
uses cases article.)

78. Southwest
The airline shows limited evidence of AI implementation, but there is some
evidence of Southwest using machine learning to improve operations. Jeff
Hamlet, former Director of Air Operations Assurance at Southwest Airlines
has stated that he and his team used machine learning techniques such
as time series analysis and pattern recognition to enhance their data
mining capabilities.
Time series analysis refers to a method for evaluating a series of data
points that are ordered according to time. This type of analysis is often
used to identify trends or patterns.
Hamlet claims that these approaches enabled his team to identify
potential flight glitches found in pilots’ data reports. These findings were
then relayed to air traffic control at the site of arrival. Hamlet concludes
that in this reported instance, contributed

79. United Airlines
In September 2017, United Airlines announced a collaboration with
Amazon Alexa called “United skill.” The app reportedly allows Alexa
users to find answers to the most common questions about United
flights by communicating through natural language.
A screen shot from United’s blog post announcing their Alexa skill
Once users add “United skill” to their existing Alexa app, they are
able to ask Alexa common questions about flight statuses, flight times
and amenities. Though United skill, examples of commands that
Alexa can process include:
“Alexa, ask United: what is the status of flight 959?”
“Alexa, ask United: does flight 869 have Wi-Fi?”
“Alexa, ask United to check me in.”

80. However, the app has some limitations. For example, commands must
be phrased in a very specific way and information on certain features
such as airline check-in are restricted to domestic flights.
Based on reviews published on Amazon’s website, so far, United skill has
had a mixed reception. Some complaints include incorrect flight times
and routine misunderstanding of crucial elements of vocal commands
such as “flight number.”
As the pioneering airline to integrate Alexa functionality, it is expected
that there will be a learning curve. It will be interesting to see what
improvements Amazon will make over time and if the collaboration will
ultimately prove mutually beneficial for both companies.
(Readers with a strong interest in Amazon’s conversational interface
technology may want to read our full article titled: “Chatbot Comparison
– Facebook, Microsoft, Amazon, and Google“.)

81. Concluding Thoughts on AI in Commercial Airline Sector
AI is being explored in the commercial airline segment of the aviation industry and is being
integrated across multiple areas including customer service, airport and flight operations.
Airport development will be a particular area of importance according to an annual report
published by the International Air Transport Association.
The association anticipates that the cost of airport development, specifically improving and
modernizing existing infrastructure and operations, will exceed $1 trillion over the next fifteen
years. Therefore, innovation will be a critical building block of these efforts. Specifically, AI
and self-service airport kiosks and apps should mesh well into this industry outlook.
In aviation, the transmission and translation of data is fundamental to market competition and
safe flying. Jeff Hamlet former Director of Air Operations Assurance at Southwest Airlines and
Ashok N. Srivastava, the project manager for the Aviation Safety Program at NASA posit that
efficient data management is achieved through the continued creation of new algorithms.
These algorithms or apps would be tailored to the new problems that are being reported by
pilots, the FAA, and others involved in aeronautics space. Policies and procedures that affect
the transmission of data are of fundamental importance to the future of machine learning in
aeronautics.

82. Maximilien Brice, © CERN
82

83. 83
Top Reasons Why you should consider SaaS?
OPEX not CAPEX:
• “Pay as you go” operational
expense rather than a
capital expenditure
• A subscription-based on
usage metrics (instead of a
perpetual license)
Lower cost-of-business
solution ownership
Predictability of costs over
time
The management, support, and
upgrading of the software and
the infrastructure that supports
it is the responsibility of the
solution provider
Economic Reasons
More rapid access to state-of-
the-art technology
Highly responsive and scalable
(upwards and downwards)
solutions that cover entire
business processes
• Greater ability to scale as
business needs change
User access to the application
is over the Internet
• Ubiquitous and relatively
inexpensive
Flexible and customizable
solutions
Functional Reasons
Reliable access to data,
anywhere, anytime
Increased risk mitigation with
better support for compliance
More rapid time-to-production
Improved security,
performance, and availability
Avoidance of vendor lock-in
Shift in focus to core business
management, rather than
disproportionate attention on
the computer environment;
redeploy headcount to
strategic IT initiatives
Expected Results

84. Analyzing TCO Cost Drivers.
Cost Drivers Traditional On-Premises Software Cloud Application
Capital Expenses Upfront purchase of software and hardware
May require network infrastructure
enhancements, facilities
Need to support third party monitoring, test tools,
security products
None
Pay-as-you-go subscription pricing
All inclusive: maintenance, support,
training, and upgrades all hardware,
networking, storage, database,
administration
Design and Deployment May take months to deploy
Professional services can cost up to 3X the initial
software purchase
Difficult for vendor to build best practices
Requires staff or contract labor to research,
design, integrate, test, tune, launch, and train
Deploy in weeks
Lower cost using consistent set of best
practices
Ongoing Infrastructure Ongoing software maintenance, upgrades
Ongoing hardware replacement once every three
years
Requires a network monitoring and management
tools
May require additional networking equipment
and bandwidth to accommodate incremental
traffic
The vendor provides as part of the
subscription

85. # Item On Premise SAAS
Number Value Number Value
1 Infrastructure 29,000.00 -
1.1 Servers with OS 2 6,000.00 0 -
1.2 Software licenses
( Database)
1 4,000.00 0 -
1.3 Internal server
security
1 2,000.00 0 -

86. # Item On Premise SAAS
Number Value Number Value
1.4 Backup 1 2,000.00 0 -
1.5 DR site 1 5,000.00 0 -
1.6 Other overheads 1 10,000.00
2 Software 100,000.00
2.1 License fee 1 80,000.00 0 -

87. # Item On Premise SAAS
Number Value Number Value
2.2 ESS licenses (cal) 50 20,000.00 0 -
3 Setup 1 150,000.00 100,000.00
3.1 Installation and
setup
100 150,000.00 60 90,000.00

88. # Item On Premise SAAS
Number Value Number Value
Total one time cost 279,000.00 100,000.00
4 Recurring cost 225,000.00 300,000.00
4.1 Annual maintenance
-5 yrs @ 20%
5 80,000.00 0 -

89. # Item On Premise SAAS
Number Value Number Value
4.2 Monthly
subscription -5 yrs
@10 $
0 - 500 300,000.00
4.3 Server maintenance 5 25,000.00 0
4.5 Resource overheads 5 120,000.00
Total cost for 5
years
504,000.00 400,000.00
Total saving $ 104,000.00

90. CLOUD OF EVERYTHING References
◦ https://www.linkedin.com/in/assem-mousa-1207a322/
◦ https://www.facebook.com/assem.mousa
◦ https://twitter.com/assem_moussa
◦ https://www.instagram.com/assemabdelhamedmousa/
◦ https://www.youtube.com/channel/UCR4YEQgPj91b0vZcXyHWY5w
◦ https://www.slideshare.net/assemam@live.com
◦ https://www.researchgate.net
◦ https://www.academia.edu
◦ https://www.actascientific.com/ASCS
◦ https://www.amazon.com
◦ https://www.lap-publishing.com
◦ http://www.ijsrp.org
◦ http://www.ijird.com
◦ http://www.itu.int
◦ Search by: Assem Abdel Hamied Moussa at Google.

91. REAL SNAP SHOTS