译文丨福布斯：美国最成功的10个人工智能应用案例

今天我们所谓的人工智能只不过是一种高级机器学习软件，运用广泛行为算法来调节自身以适应人类的喜好。虽然人工智能的用途不可小觑，但是从存在主义角度来看，这些机器并不会越变越“聪明”，但是他们会根据越来越多的数据来提升自己的技能和可用性。

以下我列举了当今最为人所熟知的人工智能应用案例。

#1 — Siri

几乎人人都知道苹果的私人助手Siri。她是一种声控的智能助手，声音亲和，能够在日常生活中给人类提供帮助。她可以帮我们查找信息，为我们提供指导，帮我们创建备忘录，帮我们发信息。Siri其实是一种伪智能的数字私人助手。她运用机器学习技术来提高自身智能性，以预测和理解我们的自然语言问题和命令。

#2 — Alexa

Alexa是新晋的智能家居中心，其发展速度令人瞠目。亚马逊刚刚推出Alexa项目时就在世界范围内获得了广泛关注。它的实用性极强，我们在房间内任意角落发出指令，它都能解读我们的话语，由此它被誉为是具有革命性的产品，能够代替我们上网获取信息、购物、安排日程、设置闹钟等等，它还能为我们的智能家居提供能源，对于很多行动不便的人来说，这个产品确实是一大福音。

　 #3 — Tesla

如果你不曾拥有特斯拉，你就不会知道什么叫“曾经沧海难为水”。特斯拉可能是人类能够造出来的迄今为止世界上最棒的车。不仅是因为全世界都对它大加赞赏，还因为它本身的预测能力、无人驾驶功能和绝对高端的技术“冷却”。不管你是科技迷还是汽车粉，你都应该拥有一辆特斯拉，特斯拉自身的无线信息更新特征也保证了它的智能性会不断提高。

　 #4 — Cogito

Cogito最初由其CEO约书亚(Joshua Feast)和桑迪博士(Dr. Sandy Pentland)联合创立。Cogito可能是最具影响力的行为适应案例，能够提高客服代表的服务水平。这家公司融合了机器学习技术和行为科学，提高电话客服中与客户互动质量。这家公司的产品已经在数亿语音通话中得到应用。

#5 — Boxever

Boxever的CEO为大卫·欧弗拉纳根。该公司依靠机器学习提高旅游产业的用户体验，为用户的旅途增加愉快的“微瞬间”和优质体验。通过机器学习和人工智能，这家公司已经成为这个行业的佼佼者，帮助他们的客户设计和体验他们的旅程。

　　 #6 — John Paul

John Paul是一家高端豪华旅游礼宾公司，其创始人为大卫·安赛朗(David Amsellem)。John Paul是人工智能应用的另一成功案例，它运用预测算法来维护与现有客户之间的联系，能够准确明白和了解客户的意愿和需求。这家公司已经与VISA、Orange、法国航空等众多世界级大公司建立合作，日前还与高雅酒店集团商讨了合作事宜。

　　 #7 — Amazon.com

亚马逊的交易人工智能已经推出很久了，它能处理线上大规模交易金额。每年它的算法都不断更新，在预测客户线上购物喜好行为上，亚马逊已经越来越智能。也许以后我们还没有决定下单，亚马逊就已经把商品快递到我们家门口了。

　　 #8 — Neflix

Netflix基于用户对不同电影的反应，能够准确预测他们对视频的喜好。Netflix分析了数十亿的观看记录，根据你以往对电影视频的反馈和选择，为你推荐你可能会喜欢的电影。随着数据越来越多，Netflix的预测也越来越准确。但是这项技术也有一个缺陷，就是很多标签较少的电影会被人们忽视，而那些著名的电影会占据这个平台。

　　 #9 — Pandora

Pandora的人工智能可能是当今最具革命性的技术之一。人们称之为音乐DNA。由专业音乐家组成的团队按照400个音乐特征，将每首歌进行了深入分析。这个系统能够根据人们对音乐的偏好，为他们推荐被他们忽略的好歌。

　　 #10 – Nest

现在很多人都对Nest非常熟悉了，这个主动学习恒温系统在2014年1月份被谷歌以32亿美元的价格收购。Nest恒温系统现在也能用Alexa控制了，它运用行为算法来学习你的加热和冷却温度喜好，来预测和自动调节家里和办公室里的室温。当然这套系统还需要配套的其他设施，如Nest摄像头等。

　 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.

　　 翻译：灯塔大数据

    注：本文摘自数据观入驻自媒体—灯塔大数据，转载请注明来源，微信搜索“数据观”获取更多大数据资讯。

责任编辑：汤德正