譯文丨福布斯：美國(guó)最成功的10個(gè)人工智能應(yīng)用案例
來源：數(shù)據(jù)觀 時(shí)間：2017-01-18 10:15:27 作者：燈塔大數(shù)據(jù)
今天我們所謂的人工智能只不過是一種高級(jí)機(jī)器學(xué)習(xí)軟件，運(yùn)用廣泛行為算法來調(diào)節(jié)自身以適應(yīng)人類的喜好。雖然人工智能的用途不可小覷，但是從存在主義角度來看，這些機(jī)器并不會(huì)越變?cè)健奥斆鳌?，但是他們?huì)根據(jù)越來越多的數(shù)據(jù)來提升自己的技能和可用性。
以下我列舉了當(dāng)今最為人所熟知的人工智能應(yīng)用案例。
#1 — Siri
幾乎人人都知道蘋果的私人助手Siri。她是一種聲控的智能助手，聲音親和，能夠在日常生活中給人類提供幫助。她可以幫我們查找信息，為我們提供指導(dǎo)，幫我們創(chuàng)建備忘錄，幫我們發(fā)信息。Siri其實(shí)是一種偽智能的數(shù)字私人助手。她運(yùn)用機(jī)器學(xué)習(xí)技術(shù)來提高自身智能性，以預(yù)測(cè)和理解我們的自然語言問題和命令。
#2 — Alexa
Alexa是新晉的智能家居中心，其發(fā)展速度令人瞠目。亞馬遜剛剛推出Alexa項(xiàng)目時(shí)就在世界范圍內(nèi)獲得了廣泛關(guān)注。它的實(shí)用性極強(qiáng)，我們?cè)诜块g內(nèi)任意角落發(fā)出指令，它都能解讀我們的話語，由此它被譽(yù)為是具有革命性的產(chǎn)品，能夠代替我們上網(wǎng)獲取信息、購(gòu)物、安排日程、設(shè)置鬧鐘等等，它還能為我們的智能家居提供能源，對(duì)于很多行動(dòng)不便的人來說，這個(gè)產(chǎn)品確實(shí)是一大福音。
#3 — Tesla
如果你不曾擁有特斯拉，你就不會(huì)知道什么叫“曾經(jīng)滄海難為水”。特斯拉可能是人類能夠造出來的迄今為止世界上最棒的車。不僅是因?yàn)槿澜缍紝?duì)它大加贊賞，還因?yàn)樗旧淼念A(yù)測(cè)能力、無人駕駛功能和絕對(duì)高端的技術(shù)“冷卻”。不管你是科技迷還是汽車粉，你都應(yīng)該擁有一輛特斯拉，特斯拉自身的無線信息更新特征也保證了它的智能性會(huì)不斷提高。
#4 — Cogito
Cogito最初由其CEO約書亞(Joshua Feast)和桑迪博士(Dr. Sandy Pentland)聯(lián)合創(chuàng)立。Cogito可能是最具影響力的行為適應(yīng)案例，能夠提高客服代表的服務(wù)水平。這家公司融合了機(jī)器學(xué)習(xí)技術(shù)和行為科學(xué)，提高電話客服中與客戶互動(dòng)質(zhì)量。這家公司的產(chǎn)品已經(jīng)在數(shù)億語音通話中得到應(yīng)用。
#5 — Boxever
Boxever的CEO為大衛(wèi)·歐弗拉納根。該公司依靠機(jī)器學(xué)習(xí)提高旅游產(chǎn)業(yè)的用戶體驗(yàn)，為用戶的旅途增加愉快的“微瞬間”和優(yōu)質(zhì)體驗(yàn)。通過機(jī)器學(xué)習(xí)和人工智能，這家公司已經(jīng)成為這個(gè)行業(yè)的佼佼者，幫助他們的客戶設(shè)計(jì)和體驗(yàn)他們的旅程。
#6 — John Paul
John Paul是一家高端豪華旅游禮賓公司，其創(chuàng)始人為大衛(wèi)·安賽朗(David Amsellem)。John Paul是人工智能應(yīng)用的另一成功案例，它運(yùn)用預(yù)測(cè)算法來維護(hù)與現(xiàn)有客戶之間的聯(lián)系，能夠準(zhǔn)確明白和了解客戶的意愿和需求。這家公司已經(jīng)與VISA、Orange、法國(guó)航空等眾多世界級(jí)大公司建立合作，日前還與高雅酒店集團(tuán)商討了合作事宜。
#7 — Amazon.com
亞馬遜的交易人工智能已經(jīng)推出很久了，它能處理線上大規(guī)模交易金額。每年它的算法都不斷更新，在預(yù)測(cè)客戶線上購(gòu)物喜好行為上，亞馬遜已經(jīng)越來越智能。也許以后我們還沒有決定下單，亞馬遜就已經(jīng)把商品快遞到我們家門口了。
#8 — Neflix
Netflix基于用戶對(duì)不同電影的反應(yīng)，能夠準(zhǔn)確預(yù)測(cè)他們對(duì)視頻的喜好。Netflix分析了數(shù)十億的觀看記錄，根據(jù)你以往對(duì)電影視頻的反饋和選擇，為你推薦你可能會(huì)喜歡的電影。隨著數(shù)據(jù)越來越多，Netflix的預(yù)測(cè)也越來越準(zhǔn)確。但是這項(xiàng)技術(shù)也有一個(gè)缺陷，就是很多標(biāo)簽較少的電影會(huì)被人們忽視，而那些著名的電影會(huì)占據(jù)這個(gè)平臺(tái)。
#9 — Pandora
Pandora的人工智能可能是當(dāng)今最具革命性的技術(shù)之一。人們稱之為音樂DNA。由專業(yè)音樂家組成的團(tuán)隊(duì)按照400個(gè)音樂特征，將每首歌進(jìn)行了深入分析。這個(gè)系統(tǒng)能夠根據(jù)人們對(duì)音樂的偏好，為他們推薦被他們忽略的好歌。
#10 – Nest
現(xiàn)在很多人都對(duì)Nest非常熟悉了，這個(gè)主動(dòng)學(xué)習(xí)恒溫系統(tǒng)在2014年1月份被谷歌以32億美元的價(jià)格收購(gòu)。Nest恒溫系統(tǒng)現(xiàn)在也能用Alexa控制了，它運(yùn)用行為算法來學(xué)習(xí)你的加熱和冷卻溫度喜好，來預(yù)測(cè)和自動(dòng)調(diào)節(jié)家里和辦公室里的室溫。當(dāng)然這套系統(tǒng)還需要配套的其他設(shè)施，如Nest攝像頭等。
英文原文
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 and 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 better 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 web 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 accolades, 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 representatives that exists on the market today. The company is a fusion of machine learning and behavioral science to improve the customer interaction for phone 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 playing 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 products 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 you 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.
翻譯：燈塔大數(shù)據(jù)
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