Examples of AI Implementation
As noted earlier, artificial intelligence is everywhere today, but some of it has been around for longer than you think. Here are just a few of the most common examples:
- Speech recognition: Also called speech to text (STT), speech recognition is AI technology that recognizes spoken words and converts them to digitized text. Speech recognition is the capability that drives computer dictation software, TV voice remotes, voice-enabled text messaging and GPS, and voice-driven phone answering menus.
- Natural language processing (NLP): NLP enables a software application, computer, or machine to understand, interpret, and generate human text. NLP is the AI behind digital assistants (such as the aforementioned Siri and Alexa), chatbots, and other text-based virtual assistance. Some NLP uses sentiment analysis to detect the subjective qualities in language.
- Image recognition (computer vision or machine vision): AI technology that can identify and classify objects, people, writing, and even actions within still or moving images. image recognition is used for fingerprint ID systems, mobile check deposit apps, video and medical image analysis, self-driving cars, and also in drone and much more.
- Virus and spam prevention: Once driven by rule-based expert systems, today’s virus and spam detection software employs deep neural networks that can learn to detect new types of virus and spam and it is used in email ..
- AutomatEd stock trading: Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or even millions of trades per day without human intervention.
- Ride-share services: Uber and other ride-share services use artificial intelligence to match up passengers with drivers to minimize wait times and detours, provide reliable ETAs, and even eliminate the need for surge pricing during high-traffic periods.
- Household robots: iRobot’s Roomba vacuum uses artificial intelligence to determine the size of a room, identify and avoid obstacles, and learn the most efficient route for vacuuming a floor. Similar technology drives robotic lawn mowers and pool cleaners.
- Autopilot technology: This has been flying commercial and military aircraft for decades. Today, autopilot uses a combination of sensors, GPS technology, image recognition, collision avoidance technology, robotics, and natural language processing to guide an aircraft safely through the skies and update the human pilots as needed. Depending on who you ask, today’s commercial pilots spend as little as three and a half minutes manually piloting a flight. AI is also used in drone technology.
APPLICATION OF ARTIFICIAL INTELLIGENCE
Personalized Online Shopping
. The latest artificial intelligence applications use AI-powered algorithms to curate the list of buying recommendations and filterations for the users.
- They first collect the user data by going through the user’s most recent search history. Then, these AI algorithms create a list of the products that fit the criteria of being useful or similar, that the users might be interested in looking at and potentially buying in similar and different categories. For instance, if a user has purchased a smartphone, the AI algorithms suggest various add-on products for the same model they purchased like screen guards, back covers, earphones, etc.Through this personalization, users get products that they actually might be interested in to choose from. Amazon’s recommendations are a great example of smart AI implementation in e-commerce. If the algorithms are intrinsic and
SmaRt Cars
- Self-driving cars are the most common existing example of applications of artificial intelligence in real-world, becoming increasingly reliable and ready for dispatch every single day. From Google’s self-driving car project to Tesla’s “autopilot” feature, it is a matter of time before AI is a standard-issue technology in the automotive industry.
- Advanced Deep Learning algorithms can accurately predict what objects in the vehicle’s vicinity are likely to do. The AI system collects data from the vehicle’s radar, cameras, GPS, and cloud services to produce control signals that operate the vehicle. Moreover, some high-end vehicles come with AI parking systems already. With the evolution of AI, soon enough, fully automated vehicles will be seen on most streets.
3. Marketing
- One of the greatest artificial intelligence examples applications, Marketing, has been a key area for improvement and the latest trends in AI. The early 2000s were not so great in terms of AI’s implementation on the marketing domain online.
- Moreover, AI has also made its way into many software and hardware used by the marketing individuals to help them calibrate the huge amount of data and comprehensively analyze it. Big Data and Machine Learning have been the major players in the domain where AI has shined and effectively elevated the various processes involved in handling data.
Surveillance
- Traditional security camera monitoring is usually conducted by a human operative. Humans are susceptible to make mistakes due to various different reasons, and human error in this domain can be a dangerous affair. Accidents are bound to happen due to trouble in tracking multiple monitors simultaneously.
- Like other applications of artificial intelligence in the real world, AI can also be trained using supervised exercises, developing security algorithms, identification protocols, and much more, to take input from security cameras.
- AI has significantly evolved in the surveillance domain and can identify many types of threats such as intruders, invalid access, unidentified individuals on defined premises, etc.
7. Agriculture
- One of the latest artificial intelligence applications, Agriculture, has also shown a significant impact on the industry.
- With the increased demand for food, organizations are using automation and robotics technology with AI embedded in it to help farmers find more efficient ways to protect their crops from various elements like weather, weeds, market consumption rates, and much more.
- The latest artificial intelligence applications in the form of image recognition identify possible defects in the crops through images captured by the user’s smartphone camera. Users are then provided with soil restoration techniques, tips, and other possible solutions to deal with the identified defects.
Smart Homes
- The most advanced form of applications of artificial intelligence in the real-world are being implemented in homes, and are becoming smarter every day. Various devices like smart locks, smart switches, ect., are increasingly becoming compatible with various devices, and the application of smart homes is becoming more accessible to the general population every day.
- The past few years have witnessed many smart devices that can now learn your behavior patterns and help you save money by saving energy, suggesting steps that can potentially save your time and resources, and implementing cost-optimized operations. These devices help you with a smarter way of living.
- now days many companies making bulb and fan’s on speech recognition and also they are operated by mobile app , this is real and new application introduced AI in nowdays ..
13. Travel
- Travel companies are using AI for several tasks.
- AI and machine learning applications help travel companies in calculating profitable yet affordable prices according to various factors to attract in a multitude of customers.
- AI is also used to evaluate the level of traffic on the roads and give an accurate estimate for the trip for travel agencies and enterprises. It can also calculate the estimated time it will take you to reach a particular point through different modes of travel, including bus, trains, and flights.
14. Space Exploration
- Space expeditions and discoveries always require analyzing vast amounts of data. Artificial intelligence and machine learning is the best way to handle and process data on this scale.
- Artificial intelligence is also being used for NASA’s next rover mission to Mars, the Mars 2020 Rover. The AEGIS, which is an AI-based Mars rover, is already on the red planet. The rover is responsible for the autonomous targeting of cameras in order to perform investigations on Mars.
