万物互联与人工智能正快速发展 - 企业必须尽快赶上否则一步错步步错 [联合国媒体]

Hyper-connectivity and AI are fast-moving trains – businesses must hop aboard or miss trip of a lifetime

万物互联与人工智能正快速发展——企业必须尽快赶上否则一步错步步错



Everything you have seen in technology innovation in the last eight years, which is a lot if you look back, will effectively be multiplied by three in impact

在过去8年里你在技术创新方面看到的一切——如果你回头看的话至少是过去3倍。

When I first started working with the Internet of Things (IoT) nearly 10 years ago I used to lead presentations with a “the world is changing, and it’s changing fast” mantra. Now, with the rise of new advanced technologies driven by artificial intelligence (AI) I simply start with “nothing is going to be like yesterday!”.

大约10年前当我第一次接触物联网(IoT)时，我曾用一句“世界在变化，而且变得越来越快”这句箴言来领导演讲。现在随着人工智能(AI)驱动的新先进技术不断兴起，我用一句“每天都与昨天截然不同”开场就可以了。



Alongside this IoT surge we are also seeing new technologies emerge, blockchain being one of the most hyped. This distributed ledger technology will empower the world to authenticate data in a trusted format like never before, and will grow at such a rate that Cisco predicts 10% of global GDP, or around US$9 trillion, will be stored on blockchains by 2027.

在物联网技术激增的同时我们也看到了另一些新技术的萌发，区块链就是其中最受追捧的一项。这种分布式账本技术将使世界能够以前所未有的可信方式认证数据，思科预计这项技术将以到全球GDP10%的速度或者年均9万亿的增速飞速增长。

Collecting and authenticating data is only part of the puzzle though, the ability to process this data for the general good and positive economic outcomes will require analytics and the ability to visualise the outcomes of the analytics, on a scale we cannot begin to even imagine.

然而收集与验证数据只是问题的一部分，处理这些数据以获得积极良好经济结果将需要及其强大的分析和可视化分析能力，其规模我们甚至无法想象。

The analysis of this data will see a sharp rise in AI applications, where we are dealing with so much data that machines will be needed to perform tasks that traditionally required human intelligence.

对这些数据的分析将会引领人工智能应用的飞速增长。利用人工智能应用程序我们可以处理大量数据，以至于需要机器来执行传统上需要人类参与才能完成的任务。



AI has also seen the rise of ‘Chatbots’, which convert human language into machine language and vice versa. Chatbots can answer customer questions, provide technical support internally and externally, gauge customer mood (by analysing tone of voice) and even act as virtual counsellors. For example, the government of Singapore has been working with Microsoft to create Chatbots for select citizen services, intended to function as digital representatives.

人工智能也见证了“聊天机器人”的崛起，它能将人类语言转换为机器语言反之亦然。聊天机器人可以回答客户问题，提供内外技术支持，评估客户情绪(通过语气)，甚至充当虚拟顾问。例如新加坡政府一直在与微软合作，利用聊天机器人为特定公民办理业务。

The rise of AI in prediction is also moving quickly into industry, and companies like Presenso, an Israeli start-up, are working with companies such as Total-Eren to deliver predictive maintenance solutions for power generation assets, looking at mean time to failure and saving large dollar amounts for their customers with preventative maintenance solutions.

人工智能的兴起预计也正迅速影响到工业，以及像Presenso,一家以色列初创企业等公司。Presenso正在与Total-Eren等公司为电力公司提供预见性维护解决方案,通过观察平均失效时间提供预防性维护解决方案为大客户节省成本。

Once all this data has been collected, authenticated and analysed, we are left with the problem of how to visualise it, and this is really where it will all come together. Augmented and virtual reality solutions are moving from the ‘first person shooter’ gaming world, rapidly into the commercial world. Deloitte predict this market will grow from US$9 billion in 2017 to US$160 billion by 2021, a CAGR of 113%, and one to watch for budding angel investors and fund managers alike.

一旦所有这些数据都被收集、验证和分析，我们就会面临如何将其可视化的问题，而这正是所有数据汇集处理的难点。增强现实技术和虚拟现实技术正从“第一人称射击游戏”的游戏世界迅速进入商业。德勤预测这一市场将从2017年90亿美元增长到2021年1600亿美元，年复合增长率为113%。这会吸引大量天使投资者和基金经理的关注。



Over the next 10 years, IoT, blockchain, AI and VR/AR technologies are going to be the core applications that drive business transformation. While sitting back and watching is going to be great fun, getting involved as a developer, investor, supplier or customer will literally change your life.

未来10年里物联网、区块链、人工智能和VR/AR技术将成为推动业务转型的核心应用。作为一个开发者，投资者，供应商或者客户，当你坐下来观察的时候会觉得很有趣，因为你们的参与将会改变你的生活。