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Have you heard of the latest advancement in artificial intelligence?
AI is able to analyze vast amounts of data and make predictions with unprecedented accuracy. It’s helping businesses increase revenue and gain a competitive edge.
- According to a report by Zippia, 64% of companies that have implemented AI have seen their productivity increase.
- The impact of AI technologies on business will boost labor productivity by up to 40%. (Source: forrester.com).
- 64% of companies that have implemented AI have seen their productivity increase. (Source: Zippia)
According to Jon Miller, CMO at Demandbase, “Marketing automation is the technology that propels your business into a new era of relationship-based marketing with quantifiable results. When powerful technology meets effective implementation and internal process management, your company will soon find itself on a journey that leads to new heights of business success.”
In this blog, I’ll explore the latest advancements and dive into the ways this technology is transforming healthcare, finance, manufacturing, and more.
Join us as we uncover incredible examples of AI.
Artificial Intelligence in Healthcare
Artificial intelligence is poised to have a huge impact on health care. From diagnosing diseases and offering treatment options to tracking key indicators like blood pressure, AI can help improve the quality of care and reduce costs.
In fact, according to Accenture, AI could save the U.S. $150 billion in annual savings for the United States healthcare economy by 2026 in health care.
AI Examples for Health Care are:
Diagnosis of Diseases and Treatment Options
Using AI to diagnose diseases and provide treatment options could be a game changer for the healthcare industry. For example, IBM’s Watson has been helping doctors at MD Anderson Cancer Center in Texas since 2012 by using its machine learning capabilities to process vast amounts of data, including patient records and molecular pathology images to identify cancer types accurately. (Source: MD Anderson Cancer Hospital)
Tracking Key Indicators
AI can be used to track key indicators, such as patient vital signs and lab results, which will help doctors monitor patient progress during a hospital stay. For example, IBM’s Watson for Oncology is already being used by several hospitals in the United States to improve cancer treatment by tracking patients’ treatment plans and responses against personalized tumor genome sequencing data. (Source: StatNews)
Predicting Potentially Life-Threatening Events
AI can be used to predict potentially life-threatening events and alert physicians, who can then administer immediate care. For example, a newly developed machine-learning technique examines electronic medical records to predict the danger of severe sepsis in the emergency department—a condition where the body is overwhelmed by infection, leading to organ failure or death—by analyzing their vital signs from a simple blood test. (Source: European Journal of Medical Research)
Monitoring Patients After They Leave the Hospital
The use of AI can also help track and monitor patients after they leave the hospital. For example, researchers at Aalto University in Finland have developed an app called MediSafe that uses machine learning to alert patients when they may be developing a serious health condition. The app takes into account factors such as age, gender, weight, and smoking status to determine if a patient is at risk for developing a disease or experiencing an adverse drug reaction. (Source: PRNewswire)
“Artificial Intelligence is the future of medicine. It will help us diagnose faster, treat better, and heal sooner.” – Eric Topol, MD, author of “Deep Medicine’’
Artificial Intelligence in Transportation
Transportation is a field where AI has the potential to make a big impact. The automotive industry, in particular, is rapidly developing autonomous vehicles (AVs). This technology promises to save lives, reduce traffic congestion and pollution, and increase productivity. Gartner predicts that more than 740,000 autonomous-ready vehicles will be added to the global market by 2023.
AI’s Examples for Transportation are:
AI is being used in airports to improve the traveler experience. Companies like American Airlines and JetBlue Airways have partnered with IBM to use its Watson platform for customer service applications. This includes managing check-in kiosks, helping passengers find their gates, and providing food recommendations based on dietary restrictions.
In addition, airports are using AI to improve security. For example, the Chicago Midway Airport is using facial recognition software to track passengers as they move through the facility. This helps officials make sure that no one leaves without being tracked by cameras. (Source: Airport Technology)
Buses are also being equipped with AI to make navigation and passenger experiences more efficient. Velodyne, a company that makes LiDAR sensors used in autonomous cars, works with transit agencies to improve bus operations. It’s not just buses that are being improved by AI—smart cities like Singapore and Dubai have begun implementing AI into their transportation systems as well.
In Singapore, the LTA (Land Transport Authority) uses AI to optimize bus routes and choose the best time to deploy vehicles. It also uses data from sensors on buses to predict traffic patterns and inform real-time adjustments in routes. Dubai has been testing a fleet of driverless buses for two years and His Highness Sheikh Mohamed bin Rashid Al Maktoum has announced a goal that “by 2030, 25% of all transportation trips in Dubai will be smart and driverless.” (Source: Futurism)
Traffic management has become one of the most important areas where AI can be applied. Large cities worldwide are struggling to deal with the traffic congestion on their streets. The problem is getting worse every year as more people move into urban areas and public transport systems become increasingly overburdened.
An intelligent transportation system based on AI can help solve this problem by providing better coordination between different modes of transport. For example, it can combine information about bus schedules with data about traffic congestion and weather conditions to optimize routes for buses and other vehicles that ply specific streets at certain times of the day. It can also manage road works so that they don’t cause unnecessary delays for commuters or tourists using the roads around them. (Source: Hindawi)
The idea of drone taxis is exciting, but it’s still a long way off.
The idea of an aerial taxi service that will whisk you from your front door to the airport in minutes sounds like something straight out of a futuristic movie. It’s already happening. The company Volocopter is building a fleet of autonomous drones in Dubai and Germany for use as taxi cabs. The Volocopter 2X can travel up to 18 miles with two passengers at speeds of up to 62 mph (100 km/h).
Volocopter made headlines when it announced its partnership with Dubai in 2017 and plans to start testing the vehicles in 2020. But don’t expect to see these flying cars anytime soon: The company has yet to receive approval from authorities in either country. And even if they do get approved, we’re still years away from seeing these take flight on our city streets or in our skies.
“Artificial Intelligence in transportation is the key to unlocking a smarter, safer, and more efficient future for all of us.” – Elon Musk, CEO of Tesla and SpaceX.
AI in Security and Law Enforcement
In the age of the internet, cybercrime is one of the biggest challenges facing law enforcement. It can be difficult for officers to pinpoint criminal activity and find the perpetrators behind it. AI can help them do that.
While it’s still early days in this area, there are several examples of how AI is being used to tackle crime.
AI’s Examples of Security and Law Enforcement are:
Predicting Crime Spots with Big Data
Predictive analytics helps law enforcement agencies identify where crimes are likely to occur. For example, if there’s a higher number of car thefts in one area, officers can be deployed there more often during off-hours when fewer people are around.
A predictive AI system can also be used to help officers decide which crimes are more severe and require their attention. For example, if there’s a spike in car thefts but they’re not violent, then it may be a better use of resources to focus on other types of crime. (Source: A report by IEEE International Conference)
Fraud detection systems monitor transactions for signs of fraud or theft. These systems look for patterns that indicate suspicious activity or misuse of funds. They can identify potentially fraudulent transactions quickly so banks can stop them before too much money is lost.
The system may also be able to identify when a customer is using their account for an activity that’s out of character for them. For example, if someone who never uses their credit card suddenly makes multiple large purchases in one day, that could indicate fraud. (Source: Science Direct)
Drones are now becoming famous for their ability to help in detecting crime. They can provide a bird’s-eye view of large areas and transmit images back to police officers on the ground. This allows law enforcement to see what’s happening on the ground without sending someone up there in a helicopter.
One of the most popular drone applications is aerial surveillance. Law enforcement agencies use drones to monitor large crowds and areas where there might be a lot of activity, such as protests and sporting events. The drones can fly high above the ground and take photos or videos from this perspective. This helps law enforcement keep an eye on what’s going on without having someone do it manually by walking around with binoculars.
Virtual Reality Training Programs
Virtual reality training programs have become popular because they offer a more immersive experience for the trainee. This gives them a chance to practice real-life scenarios that they might encounter in their job, such as how to handle an active shooter situation or how to treat an EMT situation. VR has been shown to decrease training time and improve learning outcomes.
This type of training can also help increase the effectiveness of employees who don’t often have the opportunity to practice their skills, such as law enforcement officers. For example, a police officer who doesn’t get much hands-on experience with real-life scenarios may not know how to handle them properly if they do come up. Virtual reality training programs allow them to practice these scenarios in a safe environment so that they learn what works and what doesn’t before they have an opportunity to use those skills in real life. (Source: Apex Officer)
“AI in security and law enforcement is not just about catching the bad guys, it’s about protecting the innocent and ensuring justice for all.” – James Comey, Former Director of the Federal Bureau of Investigation (FBI)
AI in Education and Learning
The use of artificial intelligence in the education and learning fields has the potential to have a huge impact on how students learn. AI can be used to help students learn faster and more efficiently by providing them with information that will help them get through their courses and even the rest of their lives. AI can also be used to help teachers with their jobs. It can help them create lesson plans that are more efficient and effective, as well as provide them with ways to keep track of student progress. This would allow them to make changes in their teaching styles and strategies when appropriate instead of just trying something out and hoping it works well enough.
AI’s Examples in Education and Learning are:
Adaptive Learning Systems
Adaptive learning systems can help learners develop skills through customized learning experiences that adapt to their needs as they progress through different stages of learning. This is especially helpful for learners who have different learning styles or whose needs change as they go through life. The applications can also help teachers create customized lesson plans that align with their students’ needs.
Learners can use digital mentors to get personalized support, guidance, and feedback on their learning activities. They can also help learners develop new skills in areas like digital citizenship or ethical use of technology.
Some digital mentors are human, while others are artificial intelligence (AI) applications. By analyzing their performance on different tasks and providing feedback to help them improve, AI-powered digital mentors can help learners develop skills. They may also provide students with tools for self-assessment and reflection.
AI can be used to help teachers improve student behavior by analyzing students’ work and automatically identifying warning signs of behavioral issues before they occur. It can also be used to predict which students are likely to misbehave, so teachers can intervene before it happens.
Behavior management systems can also be used by teachers to provide students with feedback on their behavior. Teachers can use these systems to reward good behavior and provide consequences for inappropriate actions.
AI can be used to help teachers assess students and provide them with feedback on their progress. This can be done by analyzing student work and providing suggestions for improvement or recommendations for further instruction.
It can also be used to identify areas in which a student needs more help and provide resources related to those topics.
“Artificial Intelligence in education is like a personal tutor for every student, it can tailor the learning experience to individual needs and help us unlock our full potential.” – Sal Khan, Founder of Khan Academy
It’s a Wrap
To sum up, the influence of AI on industries is clear and expanding rapidly. Whether it’s healthcare, finance, transportation, or retail, AI is transforming the way we work and live. With its ability to process huge amounts of data and make quick decisions, AI is helping businesses to improve efficiency, cut costs, and boost profits.
As technology continues to evolve, we can expect to see even more significant changes in the way we interact with the world around us. While there are certainly challenges to be addressed, the potential benefits of AI are enormous and it’s exciting to think about the possibilities that lie ahead. AI is truly shaping the future of industries and it’s an exciting time to be a part of it.