Below I list the most well-known application cases of artificial intelligence today.
#1 — Siri
Almost everyone knows Siri, Apple’s personal assistant. She is a voice-activated intelligent assistant with friendly voice, which can help human beings in daily life. She can help us find information, give us guidance, help us create memos and send us messages. Siri is actually a pseudo-intelligent digital personal assistant. She uses machine learning technology to improve her intelligence to predict and understand our natural language problems and commands.
#2 — Alexa
Alexa is a new smart home center, and its development speed is amazing. When Amazon just launched the Alexa project, it gained widespread attention around the world. It is very practical, and it can interpret our words when we give instructions in any corner of the room. Therefore, it is praised as a revolutionary product, which can replace us to get information online, shop, arrange schedules, set alarm clocks, etc. It can also provide energy for our smart homes. For many people with mobility difficulties, this product is indeed a great boon.
#3 — Tesla
If you don’t own Tesla, you won’t know what "it used to be difficult for the sea to touch water". Tesla may be by far the best car in the world that humans can build. Not only because the whole world greatly appreciates it, but also because of its own predictive ability, driverless function and absolutely high-end technology "cooling". Whether you are a technology fan or a car fan, you should have a Tesla, and Tesla’s own wireless information update features also ensure that its intelligence will continue to improve.
#4 — Cogito
Cogito was originally founded by its CEO Joshua Feast and Dr. Sandy Pentland. Cogito may be the most influential case of behavioral adaptation, which can improve the service level of customer service representatives. This company combines machine learning technology and behavioral science to improve the quality of interaction with customers in telephone customer service. This company’s products have been used in hundreds of millions of voice calls.
#5 — Boxever
The CEO of Boxever is David O ‘Flanagan. The company relies on machine learning to improve the user experience of the tourism industry and add pleasant "micro-moments" and high-quality experiences to the user’s journey. Through machine learning and artificial intelligence, this company has become a leader in this industry, helping their customers design and experience their journeys.
#6 — John Paul
John Paul is a high-end luxury travel concierge company whose founder is David Amsellem. John Paul is another successful case of artificial intelligence application. It uses forecasting algorithm to maintain contact with existing customers, and can accurately understand and understand customers’ wishes and needs. This company has established cooperation with many world-class big companies such as VISA, Orange and Air France, and recently discussed cooperation with Elegant Hotel Group.
#7 — Amazon.com
Amazon’s trading artificial intelligence has been launched for a long time, and it can handle large-scale online transactions. Every year, its algorithm is constantly updated, and Amazon has become more and more intelligent in predicting customers’ online shopping preferences. Maybe Amazon will deliver the goods to our door before we decide to place an order in the future.
#8 — Neflix
Netflix can accurately predict users’ preferences for videos based on their reactions to different movies. Netflix analyzes billions of viewing records, and recommends movies that you might like based on your past feedback and choices of movies and videos. With more and more data, Netflix’s predictions are becoming more and more accurate. However, this technology also has a drawback, that is, many films with fewer labels will be ignored by people, and those famous films will occupy this platform.
#9 — Pandora
Pandora’s artificial intelligence is probably one of the most revolutionary technologies today. People call it music DNA. A team of professional musicians made an in-depth analysis of each song according to 400 musical features. This system can recommend good songs that people ignore according to their preference for music.
#10 – Nest
Now many people are very familiar with Nest, which was acquired by Google for $3.2 billion in January 2014. The Nest thermostat system can also be controlled by Alexa now. It uses behavioral algorithms to learn your heating and cooling temperature preferences, so as to predict and automatically adjust the room temperature at home and in the office. Of course, this system also needs other supporting facilities, such as Nest camera.
English original
Beyond our quantum-computing conundrum, today’s so-called A.I. systems are merely advanced machine learning software with extensive behavioral algorithms that adapt themselves to our likes a nd dislikes. While extremely useful, these machines aren’t getting smarter in the existential sense, but they are improving their skills and usefulness based on a large dataset. These are some of the most popular examples of artificial intelligence that’s being used today.
#1 — Siri
Everyone is familiar with Apple’s personal assistant, Siri. She’s the friendly voice-activated computer that we interact with on a daily basis. She helps us find information, gives us directions, add events to our calendars, helps us send messages and so on. Siri is a pseudo-intelligent digital personal assistant. She uses machine-learning technology to get smarter and bet ter able to predict and understand our natural-language questions and requests.
#2 — Alexa
Alexa’s rise to become the smart home’s hub, has been somewhat meteoric. When Amazon first introduced Alexa, it took much of the world by storm. However, it’s usefulness and its uncanny ability to decipher speech from anywhere in the room has made it a revolutionary product that can help us scour the we b for information, shop, schedule appointments, set alarms and a million other things, but also help power our smart homes and be a conduit for those that might have limited mobility.
#3 — Tesla
If you don’t own a Tesla, you have no idea what you’re missing. This is quite possibly one of the best cars ever made. Not only for the fact that it’s received so many accolade s, but because of its predictive capabilities, self-driving features and sheer technological “coolness.” Anyone that’s into technology and cars needs to own a Tesla, and these vehicles are only getting smarter and smarter thanks to their over-the-air updates.
#4 — Cogito
Originally co-founded by CEO, Joshua Feast and, Dr. Sandy Pentland, Cogito is quite possibly one of the most powerful examples of behavioral adaptation to improve the emotional intelligence of customer support represen tatives that exists on the market today. The company is a fusion of machine learning and behavioral science to improve the customer interaction for pho ne professionals. This applies to millions upon millions of voice calls that are occurring on a daily basis.
#5 — Boxever
Boxever, co-founded by CEO, Dave O’Flanagan, is a company that leans heavily on machine learning to improve the customer’s experience in the travel industry and deliver ‘micro-moments, ’ or experiences that delight the customers along the way. It’s through machine learning and the usage of A.I. that the company has dominated the playi ng field, helping its customers to find new ways to engage their clients in their travel journeys.
#6 — John Paul
John Paul, a highly-esteemed luxury travel concierge company helmed by its astute founder, David Amsellem, is another powerful example of potent A.I. in the predictive algorithms for existing-client interactions, able to understand and know their desires and needs on an acute level. The company powers the concierge services for millions of customers through the world’s largest companies such as VISA, Orange and Air France, and was recently acquired by Accor Hotels.
#7 — Amazon.com
Amazon’s transactional A.I. is something that’s been in existence for quite some time, allowing it to make astronomical amounts of money online. With its algorithms refined more and more with each passing year, the company has gotten acutely smart at predicting just what we’re interested in purchasing based on our online behavior. While Amazon plans to ship p roducts to us before we even know we need them, it hasn’t quite gotten there yet. But it’s most certainly on its horizons.
#8 — Neflix
Netflix provides highly accurate predictive technology based on customer’s reactions to films. It analyzes billions of records to suggest films that yo u might like based on your previous reactions and choices of films. This tech is getting smarter and smarter by the year as the dataset grows. However, the tech’s only drawback is that most small-labeled movies go unnoticed while big-named movies grow and balloon on the platform.
#9 — Pandora
Pandora’s A.I. is quite possibly one of the most revolutionary techs that exists out there today. They call it their musical DNA. Based on 400 musical characteristics, each song is first manually analyzed by a team of professional musicians based on this criteria, and the system has an incredible track record for recommending songs that would otherwise go unnoticed but that people inherently love.
#10 – Nest
Most everyone is familiar with Nest, the learning thermostat that was acquired by Google in January of 2014 for $3.2 billion. The Nest learning thermostat, which, by the way, can now be voice-controlled by Alexa, uses behavioral algorithms to predictively learn from your heating and cooling needs, thus anticipating and adjusting the temperature in your home or office based on your own personal needs, and also now includes a suite of other products such as the Nest cameras.
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Editor in charge: Tang Dezheng