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BUSINESS ANALYTICS
(MSB21T1004)
Submitted to-
Prof. Amrita Jain
GALGOTIAS UNIVERSITY
MBA DUAL SPECIALISATION,
SEMESTER-2, SECTION-2, IA-3
SUBMITTED BY-
Harsh Mishra (21GSOB2010167)
APPLICATIONS OF AI IN GOVERNMENT:
• Federal Cyberdefense Solutions: Cyberdefense is a subject that has been in the media spotlight in recent times after the revelations
of Russian interference in the U.S. election process. With increasingly sophisticated forms of attack, it’s imperative that governments
have technology available that can defend against such attacks.
• Predictive Traffic Congestion: Busy urban areas are often plagued with traffic congestion issues that local authorities struggle to
contain. Part of the problem is that traffic congestion is surprisingly difficult to predict. Aside from the key rush hour times, traffic
can build up at other times over the course of the day, causing significant backlogs on roads.
• Faster Immigration Application Processing: A large part of the appeal of artificial intelligence lies in its ability to automate processes
that are normally time-consuming for humans to perform. A set of processes that often presents significant problems to
immigration and naturalization departments within governments is the application and processing of visa and immigration
applications.
• Improved Identification of Criminals: The powerful machine learning and deep learning algorithms that have revolutionized image
detection and classification can be used by state police forces to identify criminals. Facial recognition software continues to improve,
and governments can use these advancements to their benefit by identifying on-the-run criminals in public spaces.
APPLICATION OF ANALYTICS IN
GOVERNMENT:
• Transportation: Every day millions of people are on the road driving. There are so many different nuances to driver safety, from
roads to police officers, weather conditions and vehicle safety that its impossible to control everything that might cause an
accident. However, with big data governments can better oversee transportation to ensure better roads, safer roadways, better
routes and new routes.
• Healthcare: Healthcare is a very complicated issue these days, and not just here in the United States, but also across the world. With
so many health systems that rely on government subsidies and support, there is a potential for resources to be wasted or to be
unfairly allocated. With big data, governments can have a much clearer picture of where the money is going and why. It means they
can also assume better control over resources. They can also analyze more effectively the needs of the citizens and from there
make the necessary changes to provide the citizens with the best possible services for the best possible prices.
• Education: Education is another extremely hot topic across the country. What can be done to improve education? There are a lot of
different things to be done, and up-to-date, relevant information is vital to this. Big data helps governments understand more
about educational needs on a local and federal level in order to ensure that the youth of the nation are getting the best possible
education in order to serve the country in the future.
HOW GOVERNMENT CAN USE ANALYTICS
AND AI IN THE CONCERN OF DEFENSE
• ANALYTICS
Predictive analysis goes one step further,
however, because the objective is not just to
establish capabilities. The goal is to determine
enemy intentions and probable courses of
action. In short, the Military Intelligence
Officer tries to predict what the enemy
intends to do and how this will affect friendly
forces.
• ARTIFICIAL INTELLIGENCE
AI combined with geospatial analysis can aid
in the extraction of useful information from
linked devices like radars and autonomous
identification systems. This data can aid in the
detection of any unlawful or suspicious
activity, as well as alerting the appropriate
authorities.
HOW GOVERNMENT CAN USE ANALYTICS AND AI
IN THE CONCERN OF CONSUMER PROTECTION
• ANALYTICS
Governments collect and hold more data than ever, and vastly improved
computer processing power means they can extract insights that were
impossible before.
Applying data analytics across the organization would therefore allow
governments to allocate their resources better, lower their operating costs
and meet the changing needs of citizens. Examples include:
• Predicting who’s at risk of developing a chronic disease, and acting to
prevent it
• Predicting and preventing benefit fraud
• Creating bespoke study programs
• Improving public transport’s responsiveness and customer-centricity
• ARTIFICIAL INTELLIGENCE
The use of AI in consumer markets thus lead to a
new form of power and information asymmetry.
Usually, consumers do not even know that
advertising, information, prices or contract terms
have been personalized according to his or her
profile. If a certain contract is not concluded or only
offered at unfavorable conditions because of a
certain score, consumers are usually unable to
understand how this score was achieved. This is not
only because the algorithms used are well-guarded
trade secrets.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN
THE CONCERN OF ELIMINATE FRAUD
• ANALYTICS
1. Automates the repetitive tests which help
in saving a lot of time.
2. Searches 100% of your transactions
automatically for fraud indicators.
3. Easily merge, normalize, and compare
data from different systems.
4. Identifies the fraud quickly before it
becomes front-page news.
• ARTIFICIAL INTELLIGENCE
When fraud is suspected, AI models may be
used to reject transactions altogether or flag
them for further investigation, as well as rate
the likelihood of fraud, allowing investigators
to focus their efforts on the most promising
instances. The AI model can also offer cause
codes for the transaction being flagged.
HOW GOVERNMENT CAN USE ANALYTICS AND AI
IN THE CONCERN OF PUBLIC SAFETY
• ANALYTICS
Agencies also need to take advantage of the
digital resources at their disposal by posting
online statistics about safety issues and
performance measures for easy, community-
wide access. And to remove ambiguity and
make information as robust as possible,
there should be concrete systems and
protocols for tracking operational data.
• ARTIFICIAL INTELLIGENCE
One safety-related example is the use of
cameras that can detect whether workers are
wearing their personal protective equipment.
Specifically, the devices can monitor employees
who are working at height and need to be wearing
harnesses.
Robotic Bomb Detection and Deactivation Drone-
based Surveillance.
Develop AI-sensor vehicles to prevent accidents.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE
CONCERN OF TRANSPORTATION AND CITY INFRASTRUCTURE
• ANALYTICS
city planners may have a rough idea of what
is needed to make streets safer for
pedestrians and cyclists. Using predictive
analytics, city planners can input crash and
demographic data and then make an
informed decision based on that data.
However, there are other factors that can
come into play, effectively muddling the
decision-making process.
• ARTIFICIAL INTELLIGENCE
AI has the potential to make traffic more
efficient, ease traffic congestion, free
driver's time, make parking easier, and
encourage car- and ridesharing. As AI
helps to keep road traffic flowing, it can
also reduce fuel consumption caused by
vehicles idling when stationary and
improve air quality and urban planning.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE
CONCERN OF PUBLIC HEALTH
• ANALYTICS
Public institutions should increasingly employ
predictive analytics to help advance their efforts to
protect the health of their residents. Furthermore,
large, complex data sets should be analyzed using
predictive analysis for improved pattern
recognition, especially from diverse data sources
and types, ultimately leading to significant public
health action. For the Chicago Department of
Public Health, predictive analytics is not the future,
it is already here.
• ARTIFICIAL INTELLIGENCE
Artificial intelligence can be, and in some
wealthy countries is already being used to
improve the speed and accuracy of
diagnosis and screening for diseases; to
assist with clinical care; strengthen health
research and drug development, and
support diverse public health interventions,
such as disease surveillance.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN
OF ENVIRONMENT, ENERGY AND
UTILITIES
• ANALYTICS
Using the power of Big Data Analytics,
many global renowned organizations like
the UN, EPA, and Microsoft are taking
giant strides in our fight against Climate
Change. They are already devising
strategies using the power of predictive
algorithms to save the planet from this
human-induced disaster.
• ARTIFICIAL INTELLIGENCE
Optimizing Energy Production and
Scheduling
Asset Tracking and Maintenance/Digital
Twins
Defect Detection
Logistics Network Optimizations and
Logistics
HOW GOVERNMENT CAN USE ANALYTICS
AND AI IN THE CONCERN OF AGRICULTURE
• ANALYTICS
Increase farming productivity. Big data analytics in agriculture has
already shown great results in forecasting crop production and
improving crop yields.
Improve farming operations. While data analysis for agriculture
businesses increases yields, it also reduces the consumption of
resources like water and electricity thanks to smart metrics and
reports.
Stop migration of the labor force. The increasing use of big data in
agriculture proves that technology can be central to the world’s
oldest industry, making it more attractive for specialists and
preventing them from searching for other occupations.
Reduce food waste. 20% to 30% of food is wasted today at various
stages of the supply chain. Through fighting this challenge,
AgriTech can save as much as $155–405 billion a year by 2030.
• ARTIFICIAL INTELLIGENCE
• Crop and soil monitoring.
• Insect and plant disease detection.
• Livestock health monitoring.
• Intelligent spraying.
• Automatic weeding.
• Aerial survey and imaging.
• Produce grading and sorting.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE
CONCERN OF POVERTY EDUCATION
• ANALYTICS
The rights that poor and vulnerable people have over their
data may also be shaky if signing those rights away is (or
seems to be) a prerequisite for accessing public services.
One of the cases Eubanks discusses is a tool for
matching homeless people in Los Angeles with public
housing depending on their needs. To be in with a chance
of accessing public housing, homeless people must fill in
a long survey with an outreach worker, providing personal
details including whether they suffer from mental illness;
whether they have accessed emergency services for
sexual assault or domestic violence; whether they have
had sex for money or run drugs for someone; and whether
they have attempted self-harm or attempted to harm
others.
• ARTIFICIAL INTELLIGENCE
As AI becomes an ever-increasing presence in our lives,
the issue of bias or unfairness in these new technologies
is attracting more public attention. The stakes are
especially high when governments could end up using
technologies that perpetuate existing social inequalities.
The powers that the government wield over its citizens
(powers like the right to arrest someone and deprive them
of their liberty, or the right to take away someone’s child)
mean that when governments use tools that are unfair –
such as facial recognition tools that are more likely to
misidentify black faces – the consequences for citizens
can be severe. The issue of algorithmic fairness is critical
in the future of public services.
HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE
CONCERN OF REDUCING CRIME AND SECURITY THREATS
• ANALYTICS
Using data is not a novel technique in policing,
however. Law enforcement agencies have always used
data in some capacity to solve crimes. Whether it is
criminal profiling or crime detection, the police have
relied on data to react to crimes.
With modern data analytics tools, law enforcement
can be proactive rather than being reactive—which is
certainly one way to prevent crimes.
• ARTIFICIAL INTELLIGENCE
By detecting suspicious activities, AI
can prevent crimes, and help
investigators identify suspects more
rapidly, ensuring stronger public
safety and increased community
confidence in law enforcement and
criminal justice in general. AI also has
a significant use in courts of law.
THANK YOU

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Applications of Artificial Intelligence for government

  • 1. BUSINESS ANALYTICS (MSB21T1004) Submitted to- Prof. Amrita Jain GALGOTIAS UNIVERSITY MBA DUAL SPECIALISATION, SEMESTER-2, SECTION-2, IA-3 SUBMITTED BY- Harsh Mishra (21GSOB2010167)
  • 2. APPLICATIONS OF AI IN GOVERNMENT: • Federal Cyberdefense Solutions: Cyberdefense is a subject that has been in the media spotlight in recent times after the revelations of Russian interference in the U.S. election process. With increasingly sophisticated forms of attack, it’s imperative that governments have technology available that can defend against such attacks. • Predictive Traffic Congestion: Busy urban areas are often plagued with traffic congestion issues that local authorities struggle to contain. Part of the problem is that traffic congestion is surprisingly difficult to predict. Aside from the key rush hour times, traffic can build up at other times over the course of the day, causing significant backlogs on roads. • Faster Immigration Application Processing: A large part of the appeal of artificial intelligence lies in its ability to automate processes that are normally time-consuming for humans to perform. A set of processes that often presents significant problems to immigration and naturalization departments within governments is the application and processing of visa and immigration applications. • Improved Identification of Criminals: The powerful machine learning and deep learning algorithms that have revolutionized image detection and classification can be used by state police forces to identify criminals. Facial recognition software continues to improve, and governments can use these advancements to their benefit by identifying on-the-run criminals in public spaces.
  • 3. APPLICATION OF ANALYTICS IN GOVERNMENT: • Transportation: Every day millions of people are on the road driving. There are so many different nuances to driver safety, from roads to police officers, weather conditions and vehicle safety that its impossible to control everything that might cause an accident. However, with big data governments can better oversee transportation to ensure better roads, safer roadways, better routes and new routes. • Healthcare: Healthcare is a very complicated issue these days, and not just here in the United States, but also across the world. With so many health systems that rely on government subsidies and support, there is a potential for resources to be wasted or to be unfairly allocated. With big data, governments can have a much clearer picture of where the money is going and why. It means they can also assume better control over resources. They can also analyze more effectively the needs of the citizens and from there make the necessary changes to provide the citizens with the best possible services for the best possible prices. • Education: Education is another extremely hot topic across the country. What can be done to improve education? There are a lot of different things to be done, and up-to-date, relevant information is vital to this. Big data helps governments understand more about educational needs on a local and federal level in order to ensure that the youth of the nation are getting the best possible education in order to serve the country in the future.
  • 4. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF DEFENSE • ANALYTICS Predictive analysis goes one step further, however, because the objective is not just to establish capabilities. The goal is to determine enemy intentions and probable courses of action. In short, the Military Intelligence Officer tries to predict what the enemy intends to do and how this will affect friendly forces. • ARTIFICIAL INTELLIGENCE AI combined with geospatial analysis can aid in the extraction of useful information from linked devices like radars and autonomous identification systems. This data can aid in the detection of any unlawful or suspicious activity, as well as alerting the appropriate authorities.
  • 5. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF CONSUMER PROTECTION • ANALYTICS Governments collect and hold more data than ever, and vastly improved computer processing power means they can extract insights that were impossible before. Applying data analytics across the organization would therefore allow governments to allocate their resources better, lower their operating costs and meet the changing needs of citizens. Examples include: • Predicting who’s at risk of developing a chronic disease, and acting to prevent it • Predicting and preventing benefit fraud • Creating bespoke study programs • Improving public transport’s responsiveness and customer-centricity • ARTIFICIAL INTELLIGENCE The use of AI in consumer markets thus lead to a new form of power and information asymmetry. Usually, consumers do not even know that advertising, information, prices or contract terms have been personalized according to his or her profile. If a certain contract is not concluded or only offered at unfavorable conditions because of a certain score, consumers are usually unable to understand how this score was achieved. This is not only because the algorithms used are well-guarded trade secrets.
  • 6. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF ELIMINATE FRAUD • ANALYTICS 1. Automates the repetitive tests which help in saving a lot of time. 2. Searches 100% of your transactions automatically for fraud indicators. 3. Easily merge, normalize, and compare data from different systems. 4. Identifies the fraud quickly before it becomes front-page news. • ARTIFICIAL INTELLIGENCE When fraud is suspected, AI models may be used to reject transactions altogether or flag them for further investigation, as well as rate the likelihood of fraud, allowing investigators to focus their efforts on the most promising instances. The AI model can also offer cause codes for the transaction being flagged.
  • 7. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF PUBLIC SAFETY • ANALYTICS Agencies also need to take advantage of the digital resources at their disposal by posting online statistics about safety issues and performance measures for easy, community- wide access. And to remove ambiguity and make information as robust as possible, there should be concrete systems and protocols for tracking operational data. • ARTIFICIAL INTELLIGENCE One safety-related example is the use of cameras that can detect whether workers are wearing their personal protective equipment. Specifically, the devices can monitor employees who are working at height and need to be wearing harnesses. Robotic Bomb Detection and Deactivation Drone- based Surveillance. Develop AI-sensor vehicles to prevent accidents.
  • 8. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF TRANSPORTATION AND CITY INFRASTRUCTURE • ANALYTICS city planners may have a rough idea of what is needed to make streets safer for pedestrians and cyclists. Using predictive analytics, city planners can input crash and demographic data and then make an informed decision based on that data. However, there are other factors that can come into play, effectively muddling the decision-making process. • ARTIFICIAL INTELLIGENCE AI has the potential to make traffic more efficient, ease traffic congestion, free driver's time, make parking easier, and encourage car- and ridesharing. As AI helps to keep road traffic flowing, it can also reduce fuel consumption caused by vehicles idling when stationary and improve air quality and urban planning.
  • 9. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF PUBLIC HEALTH • ANALYTICS Public institutions should increasingly employ predictive analytics to help advance their efforts to protect the health of their residents. Furthermore, large, complex data sets should be analyzed using predictive analysis for improved pattern recognition, especially from diverse data sources and types, ultimately leading to significant public health action. For the Chicago Department of Public Health, predictive analytics is not the future, it is already here. • ARTIFICIAL INTELLIGENCE Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance.
  • 10. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF ENVIRONMENT, ENERGY AND UTILITIES • ANALYTICS Using the power of Big Data Analytics, many global renowned organizations like the UN, EPA, and Microsoft are taking giant strides in our fight against Climate Change. They are already devising strategies using the power of predictive algorithms to save the planet from this human-induced disaster. • ARTIFICIAL INTELLIGENCE Optimizing Energy Production and Scheduling Asset Tracking and Maintenance/Digital Twins Defect Detection Logistics Network Optimizations and Logistics
  • 11. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF AGRICULTURE • ANALYTICS Increase farming productivity. Big data analytics in agriculture has already shown great results in forecasting crop production and improving crop yields. Improve farming operations. While data analysis for agriculture businesses increases yields, it also reduces the consumption of resources like water and electricity thanks to smart metrics and reports. Stop migration of the labor force. The increasing use of big data in agriculture proves that technology can be central to the world’s oldest industry, making it more attractive for specialists and preventing them from searching for other occupations. Reduce food waste. 20% to 30% of food is wasted today at various stages of the supply chain. Through fighting this challenge, AgriTech can save as much as $155–405 billion a year by 2030. • ARTIFICIAL INTELLIGENCE • Crop and soil monitoring. • Insect and plant disease detection. • Livestock health monitoring. • Intelligent spraying. • Automatic weeding. • Aerial survey and imaging. • Produce grading and sorting.
  • 12. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF POVERTY EDUCATION • ANALYTICS The rights that poor and vulnerable people have over their data may also be shaky if signing those rights away is (or seems to be) a prerequisite for accessing public services. One of the cases Eubanks discusses is a tool for matching homeless people in Los Angeles with public housing depending on their needs. To be in with a chance of accessing public housing, homeless people must fill in a long survey with an outreach worker, providing personal details including whether they suffer from mental illness; whether they have accessed emergency services for sexual assault or domestic violence; whether they have had sex for money or run drugs for someone; and whether they have attempted self-harm or attempted to harm others. • ARTIFICIAL INTELLIGENCE As AI becomes an ever-increasing presence in our lives, the issue of bias or unfairness in these new technologies is attracting more public attention. The stakes are especially high when governments could end up using technologies that perpetuate existing social inequalities. The powers that the government wield over its citizens (powers like the right to arrest someone and deprive them of their liberty, or the right to take away someone’s child) mean that when governments use tools that are unfair – such as facial recognition tools that are more likely to misidentify black faces – the consequences for citizens can be severe. The issue of algorithmic fairness is critical in the future of public services.
  • 13. HOW GOVERNMENT CAN USE ANALYTICS AND AI IN THE CONCERN OF REDUCING CRIME AND SECURITY THREATS • ANALYTICS Using data is not a novel technique in policing, however. Law enforcement agencies have always used data in some capacity to solve crimes. Whether it is criminal profiling or crime detection, the police have relied on data to react to crimes. With modern data analytics tools, law enforcement can be proactive rather than being reactive—which is certainly one way to prevent crimes. • ARTIFICIAL INTELLIGENCE By detecting suspicious activities, AI can prevent crimes, and help investigators identify suspects more rapidly, ensuring stronger public safety and increased community confidence in law enforcement and criminal justice in general. AI also has a significant use in courts of law.