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Not only that.
不止这样。
It will be able to understand in which mood you're in -- joy, sadness, annoyance -- and will be able to mimic these feelings too.
它将能了解你的心情，不管是快乐，悲伤，还是心烦，并且能模仿这些情感。
And as natural language processing advances further -- so natural language processing is the technology behind this -- so as it advances further, the voice-enabled interactions will increasingly be refined.
而随着在背后运转的自然语言处理的进一步发展，智能语音交互将会被愈发改进。
Now, the second challenge and the biggest, in my opinion, revolves around the breadth of recommendations provided.
依我看，第二且最大的挑战关系到智能助理所提供的推荐的宽度。
Will they be able to -- What will be their range of actions?
它们能否 -- 它们行动的范围到底有多广？
Will they remain limited to very specific tasks, or will they be able to become a true companion across your day to which you can ask whatever you want, whatever you need?
它们将继续局限于很具体的任务，还是能成为你日常生活中的真正伙伴，让你能针对所有想要和需要的发出请求?
For example, taking notes in a meeting or reordering milk or even mental health coaching.
比如，在会议上做笔记或者重新订奶又或者提供心理健康辅导。
Will they be able to provide you recommendations across product categories?
它们能否提供跨越众多产品类别的推荐？
Today, companies provide us recommendations within one specific category, for example, that can help us choose between two dresses, between two books.
今天，公司只在某个特定的类别内给予推荐，例如在两条裙子或两本书之间做出选择。
In the future, the smart assistants will actually be able to help us choose between buying a book or buying a dress.
将来，智能助理将能帮助我们在购买书本和购买裙子之间做出选择。
So to be able to deliver this integrated and large range of recommendations, tech teams behind smart assistants will need to design the right algorithms.
所以若想让智能助理有能力提供综合和广泛的推荐，它们背后的技术组必需设计对的计算程序。
And these algorithms will need to be powerful enough to process a myriad of data points.
而该程序需有足够的能力处理万千数据点。
To identify patterns, to model courses of actions, and also to learn from end users' feedback.
以便能辨识规律、规划尔后的作法和从终端用户给予的反馈中学习。
But, a world where smart assistants become unavoidable means new priorities for all companies, not only the smart assistant players.
但是，一个智能助理成为必然之事的世界意味着所有公司将列入新的优先事项，而不只是投入智能助理行业的公司。
Every business in the future will need to accelerate drastically on data and algorithm, on voice-enabled interactions.
每个企业在未来都需大幅度加快数据、演算法和语音交互服务的发展。
And also, they will need to be entrusted by consumers to provide recommendations.
此外，他们在推荐供给方面也需得到消费者的信任。
This is what I like to summarize in three words, in the three imperatives that are data, tech and trust.
我想用三个关键字概括整个演讲 -- 数据、技术和信任。
So the moment the breadth challenge and the voice challenge get solved will be a tipping point in smart assistant usage and adoption by consumers.
因此宽度和语音问题被解决的那一刻将会是智能助理被消费者大量使用和采纳的引爆点。
Today, can you live without your smartphone?
今天，你能否在没有智能手机的情况下活下去？
I assume not, right?
我猜应该不能吧？
In a few years from now, your smart assistant will be a convenient, powerful, reliable helper essential in your day-to-day life.
在未来的几年后，你的智能助理将会是个方便、强劲、可靠的帮手，在你的日常生活中不可或缺。
So you won't be able to live without it.
因此没了它，你就无法活下去。
And unlike your smartphones, it will be embedded in every device around you.
与智能手机不同的是，它会置入你周围的每一个电子设备。
Your smartphone itself, of course, but also your car, the mirrors, your fridge, your glasses and who knows what other device in the future.
当然，这包括你的智能手机，但你的车子、镜子、冰箱、眼镜和未来会出现的其他设备都包括在内。
So are you ready for a smarter life?
所以，你们准备好迎接更智能的生活吗？
Yes, Karen, I am.
是的，Karen，我准备好了。
Thank you.
谢谢大家。
