Original article was published by Umairbhutta Pk on Artificial Intelligence on Medium
Artificial Intelligence Applications
AI Applications: Real World Artificial Intelligence Applications
Artificial Intelligence Applications: Marketing:
Marketing is a way to sugar coat your products to attract more customers. We, humans, are very good at sugar coating, but what if the goal is to market an algorithm or boat brand or company? It works great!
In the early 2000s, if we searched an online store to find a product, it would be a nightmare to search without knowing the exact name of the product. But now when we search for an item at any e-commerce store we get all the results related to that item. It’s reading our minds like these search engines! In a few seconds, we will get a list of all the relevant items. An example of this is finding the right movies on Netflix.
One reason we all know about Netflix and Chill is that Netflix provides the most accurate estimation technology for movies based on customer reactions. It checks millions of records to indicate which shows and movies you like based on your selection of past works and films. As data sets continue to grow, this technology is becoming more and more smart day by day.
In the near future, with the growing development in AI, users on the web can purchase the product by taking a photo of it. Companies like Comfind and their competitors are already experimenting with this.
Artificial Intelligence Applications: Banking:
AI in banking is growing faster than you think! Most banks already follow the AI-based system to provide customer support, detect discrepancies and credit card fraud. An example of this is HDFC Bank.
HDFC Bank has developed an AI-based chatbot called EVA (Electronic Virtual Assistant) built by Senseforth AI Research, Bangalore.
Since its launch, Eva has resolved over 3 million customer queries, interacted with over half a million dedicated customers and conducted over a million conversations. Eva can gather knowledge from thousands of sources and provide simple answers within 0.4 seconds.
Using AI to prevent fraud is not a new concept. In fact, AI solutions are intended to increase security in many business sectors, including retail and finance.
By using the card and accessing the endpoint, security professionals are more effective at preventing scams. Companies rely on AI to identify those steps by analyzing transactional behaviors.
Companies such as MasterCard and RBS WorldPay rely on AI and Deep Learning to detect fraudulent transaction methods and prevent card fraud. It saved millions of dollars.
Artificial Intelligence Applications: Agriculture:
Ventures rely on computer and data scientists to determine future models in the market. Business is mainly based on the ability to accurately predict the future.
Machines are great for this because they can crunch large amounts of data in a short period of time. Machines can learn to observe patterns in past data and dictate how these patterns will be repeated in the future.
In the age of ultra-high-frequency trading, financial institutions are turning to AI to improve their stock trading performance and maximize profits.
One such company is Nomura Securities, Japan’s leading brokerage house. The company is reluctantly achieving a goal to analyze the insights of experienced stock traders with the help of computers. After years of research, Nomura is ready to launch a new stock trading system.
The new system will store large amounts of price and trading data on its computer. By pressing on this information repository, it can determine whether the current market situation is the same as it was two weeks ago and predict how share prices will change in minutes from the line. Will go. It helps to make good business decisions based on estimated market prices.
Artificial Intelligence Applications: Agriculture:
One dangerous fact here is that by 2050 the world will have to produce 50 percent more food because we are eating literally everything! This is the only way it is possible if we use our resources more carefully. Needless to say, AI helps farmers get more out of the land by using more resources.
Issues such as climate change, population growth and food security have pushed the industry for more innovative approaches to improving crop yields.
Companies are using automation and robotics to help farmers find more effective ways to protect their crops from weeds.
Blue River Technology has developed a robot called C & Spray, which uses computer vision techniques that use object detection to monitor and spray weeds on cotton plants. Accurate spraying can prevent herbicide resistance.
In addition, Berlin has developed an application called Agri-Tech Start-up Plantics called PEAT, which detects potential defects and nutrient deficiencies in the soil through images.
The Image Recognition app detects potential errors through images captured by the user’s smartphone camera. Provides customers with soil restoration techniques, tips and other solutions. The company claims to be able to identify its software models with an estimated accuracy of up to 95%.
Artificial Intelligence Applications: Health Care:
When it comes to saving our lives, most organizations and medical care centers rely on AI. There are many examples of how AI has helped patients around the world in health care.
A company called Combio Healthcare has developed a clinical decision support system for stroke prevention that can alert the doctor when there is a risk of heart stroke.
Another example is Kola Jeevan, a company that owns a digital device that can detect heart disease.
Similarly, iFlu is developing a system to learn how people are being tracked in nursing homes, home care, etc. The best thing about AI in health care is that you need something new. Develop The drug does not need to be developed. You can also save lives by using existing medicine in the right way.
Artificial Intelligence Applications: Gamin
Over the past few years, artificial intelligence has become an integral part of the gaming industry. In fact, one of the great achievements of AI was the gaming industry.
Deepmind’s AI-based Alpha Go software, known for defeating world champion Lee Sedal in the GO game, is one of the most significant successes in the AI field.
Shortly after the success, Deep Mind created an improved version of Alfago called Alfago Zero, which beat its predecessor in the AI-AI Face Off. Unlike the original Alfago trained over time using large amounts of data and monitoring by Deepmind, the advanced system teaches Alfago Zero to learn the game.
Other examples of artificial intelligence in gaming include the first encounter called F.E.A.R. First person shooter video game.
The action of the opponent AI is unpredictable as the game is designed in such a way that opponents train throughout the game and never repeat the same mistakes. They get better as the game gets better. This makes the game very challenging and motivates players to constantly change tactics and never sit in the same position.
Artificial Intelligence Applications: Space Exploration
Space activities and discoveries always need to analyze large amounts of data. Artificial intelligence and machine learning are the best ways to manage and process data at this level. After rigorous research, astronomers have been using artificial intelligence for years to obtain the Kepler Telescope to detect the solar system of the distant eight planets.
Artificial intelligence is also being used for NASA’s next rover, the Mars 2020 rover. AI-based Mars rover AEGIS is already on the red planet. The rover is responsible for the cameras’ autonomous target to test on Mars.
Artificial Intelligence Applications: Autonomous Vehicles
For a long time, self-driving cars caused a sensation in the AI industry. The development of autonomous vehicles will certainly revolutionize the transportation system.
Companies like Vemo conducted several test drives in Phoenix before implementing their first AI-based public ride-healing service. The AI system collects data from vehicle radars, cameras, GPS and cloud services to generate control signals that drive vehicles.
Advanced in-depth learning algorithms can accurately track any objects that may occur near the vehicle. This makes Vemo cars more efficient and safer.
Another well-known example of an autonomous vehicle is Tesla’s self-driving car. Artificial intelligence applies to computer learning, image detection and in-depth learning, which automatically detects objects and rotates them without human intervention.
Elon Musk talks a ton about how AI is applied to Tesla’s self-driving cars and autopilot facilities. He said,