人工智能改变你工作场所的七种方式

• In the next five to ten years, your workplace will look fundamentally different. Thanks to technologies such as artificial intelligence, the internet of things and robotics work as we know it will drastically change. The future of work will come with great opportunities but also with plenty of challenges for organisations. It will require employees and management to adapt and work smarter. AI will augment your jobs, the Internet of Things will provide you with details insights and robotics will replace many jobs.
• 在未来5到10年，你的工作场所将会发生根本性的变化。由于人工智能、物联网和机器人技术等技术的发展，我们知道它将发生翻天覆地的变化。工作的未来将伴随着大量机遇，但也会给组织带来巨大的挑战。它将要求员工和管理层适应并更聪明地工作。人工智能将增加你的工作，物联网将为你提供细节洞见，机器人将取代许多工作。
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In the coming decade, your workplace will be datafied and digitalised. Digitalisation refers to the conversion of information into digital format, for example converting music into MP3 files, photos into JPEG, text to HTML and analogue video to YouTube videos. Doing so will increase your available data exponentially. Digitalisation, therefore, means capturing human ideas in digital form for transmission, manipulation, re-use and analysing.

在未来十年，你的工作场所将被数据化和数字化。数字化是指将信息转换成数字格式，例如将音乐转换成MP3文件，将照片转换成JPEG格式，将文本转换成HTML格式，将模拟视频转换成YouTube视频。这样做可以成倍地增加可用数据。因此，数字化意味着以数字形式捕捉人类思想，进行传播、操作、再利用和分析。

Datafication, on the other hand, refers to turning analogue processes and customer touchpoints into digital processes and digital customer touchpoints. Datafication is the process of making a business data-driven – by transforming social action into quantified data. It involves collecting (new) data from various sources and processes using connected devices or creating detailed customer profiles.

另一方面，数据通信是指将模拟过程和客户接触点转换为数字过程和数字客户接触点。数据通信是将社会行为转化为量化数据，从而使业务数据驱动的过程。它涉及使用连接设备或创建详细的客户配置文件从各种来源和流程收集（新的）数据。

Datafying your work starts by making your office, your workplace, your processes and your products smart. This will make previously ‘invisible’ processes traceable so that they can be monitored, analysed and optimised. Thanks to the lowering costs of sensors, increasing low-cost bandwidth, cheap availability of cloud-computing and processing capacity as well as numerous of connected devices it has become easier and cheaper to make these processes smart and help you capture data consistently and universally across different processes, products and workplaces. Datafication and digitalisation are the catalysts for the future of work.

将你的工作数据化，首先要使你的办公室、工作场所、流程和产品智能化。这将使以前“不可见的”过程可以跟踪，从而可以对它们进行监视、分析和优化。由于传感器的降低成本，增加低成本的带宽、低成本的云计算和处理能力以及众多的连接设备变得更容易和更便宜的这些过程智能，帮助你捕捉数据的一致性和统一性在不同的流程，产品和工作场所。数据通信和数字化是未来工作的催化剂。

As such, without data, there is no future of work. As I shared earlier, there are three concepts that define the future of work: data, decentralisation and automation. Together, these technologies will fundamentally change your workplace. So, let’s see how emerging technologies will affect the workplace of the future:

因此，没有数据，就没有未来的工作。正如我在前面分享的，有三个概念定义了工作的未来:数据、分散和自动化。总之，这些技术将从根本上改变你的工作场所。所以，让我们看看新兴技术将如何影响未来的工作场所:

1. Finding, Hiring and Retaining Talent

1.发现、雇佣、留住人才

AI is the perfect technology to improve your hiring process. You can use the technology to quickly find the needle in the haystack by analysing millions of social profiles, thousands of resumes and quickly detect a list of potential candidates. AI can then automatically interact with these candidates in an engaging manner to build a healthy pipeline of the best candidates. The company Arya is one of the companies that offers organisations intelligence-driven talent acquisition.

人工智能是改善招聘流程的完美技术。你可以利用这项技术，通过分析数百万份社交档案、数千份简历，快速地大海捞针，并迅速发现潜在候选人名单。然后，人工智能可以以一种吸引人的方式自动与这些候选人互动，从而建立一个健康的最佳候选人管道。Arya公司是提供情报驱动型人才收购的公司之一。

Once you have identified a pipeline of candidates, or have a large group of candidates that respond to a job application, you can use AI to assist in selecting the right candidate for your company. There are dozens of AI-powered tools available that assist recruiters in hiring (remote) workers. You can use AI in assessing a candidate’s skills, personality and even the organisational fit. For example, the company Filtered, offers assessments for data scientists and engineers. Each assessment is analysed using AI. Facial recognition helps detect cheating and results are filtered before hitting your inbox, saving the recruiter valuable time when hiring the best engineer.

一旦你确定了候选人的渠道，或者有大量的候选人对工作申请做出回应，你就可以使用人工智能来帮助你的公司选择合适的候选人。有许多人工智能工具可以帮助招聘人员雇佣（远程）工人。你可以使用人工智能来评估候选人的技能、个性，甚至组织匹配度。例如，该公司过滤，为数据科学家和工程师提供评估。每次评估都使用人工智能进行分析。面部识别可以帮助识别出欺骗行为，并在查看收件箱之前对结果进行过滤，这为招聘人员在招聘最好的工程师时节省了宝贵的时间。

Facial recognition is one of those technologies that recruiters increasingly use to assess candidates. Companies including Vodafone, Singapore Airlines and Unilever save millions of dollars per year by replacing human recruiters with AI. Thanks to technology developed by HireVue, these companies can screen many more candidates in less time, resulting in finding better candidates for the job.

面部识别是招聘人员越来越多地用来评估应聘者的技术之一。沃达丰（Vodafone）、新加坡航空（Singapore Airlines）和联合利华（Unilever）等公司每年用人工智能取代人力招聘，节省了数百万美元。由于HireVue开发的技术，这些公司可以在更短的时间内筛选更多的候选人，从而找到更好的候选人。

2. Collaboration Among Staff

2.员工协作

In the organisations of tomorrow, humans and machines will increasingly collaborate. According to research by Accenture, in the coming years, human-machine collaboration will increase productivity and revenue by 38 per cent. Two-thirds of business leaders envision that this human-machine collaboration will help in achieving strategic priorities faster and more efficiently. When machines and humans collaborate, the outcome is positive.

在未来的组织中，人类和机器将越来越多地合作。埃森哲（Accenture）的研究显示，未来几年，人机协作将提高38%的生产率和收入。三分之二的商界领袖认为，这种人机协作将有助于更快、更有效地实现战略重点。当机器和人类合作时，结果是积极的。

Especially for large organisations, AI will make it easier to capture, find, share and maintain knowledge among geographically dispersed staff. For most organisations, capturing and sharing knowledge have not been the problem. There are many tools available, such as wikis and intranets, to do so. However, the larger the organisation, the more difficult it is to find the right knowledge for the right employee. That is where AI comes in.

特别是对于大型组织，人工智能将使地理上分散的员工更容易获取、发现、共享和维护知识。对于大多数组织来说，获取和共享知识并不是问题。有许多可用的工具可以做到这一点，如wiki和内部网。然而，组织规模越大，为合适的员工找到合适的知识就越困难。这就是人工智能的用武之地。

Semantic search and natural language processing will make it easier to find the right knowledge. Similar to Google, who recently updated their search algorithm to better understand more complex search queries, organisations can use AI to intuitively find the right information faster.

语义搜索和自然语言处理将更容易找到正确的知识。与谷歌类似，谷歌最近更新了他们的搜索算法，以更好地理解更复杂的搜索查询，组织可以使用人工智能来直观地更快地找到正确的信息。

AI can also help to connect disparate, but relevant, data sources, keep your knowledge base up-to-date and offer important information metrics that will help your employees and management work together more efficiently. The better staff can find the right knowledge, the easier it becomes to collaborate.

人工智能还可以帮助连接不同但相关的数据源，保持您的知识库是最新的，并提供重要的信息度量，这将帮助您的员工和管理层更有效地一起工作。员工越能找到正确的知识，合作就越容易。

Another application of AI within organisations is chatbots for internal use. The company ServiceNow has developed a Virtual Agent platform to help employees resolve HR requests and inquiries. By providing the AI agent with sufficient data sources, the chatbot understands the context and is capable of quickly correctly answering a question.

人工智能在组织内部的另一个应用是内部使用的聊天机器人。ServiceNow公司开发了一个虚拟代理平台，帮助员工解决人力资源的请求和查询。通过向AI代理提供足够的数据源，聊天机器人能够理解上下文并能够快速正确地回答问题。

3. Intelligent Remote Working

3.智能远程工作

AI can be used to improve hiring remote workers, but it can also be used to improve remote working itself. Remote AI will help remote workers save a lot of time by automating administrative tasks they would normally need to complete manually.

人工智能可以用来改善雇佣远程工作人员，但它也可以用来改善远程工作本身。远程人工智能将帮助远程工作人员节省大量时间，使他们通常需要手动完成的管理任务自动化。

In addition, artificial intelligence enables telerobotics, which refers to machines being remotely operated by humans. These semi-autonomous robots can be controlled from a distance and could completely reshape the workspace, especially when integrated with virtual reality.

此外，人工智能使远程机器人成为可能，远程机器人是指由人类远程操作的机器。这些半自主机器人可以远距离控制，可以完全重塑工作空间，尤其是与虚拟现实相结合的时候。

Telerobotics could enable many more employees to work from home than is currently possible. For example, a mechanical engineer can operate a robot and fix a leaking underground pipe without ever leaving their home office. Taken one step further, management could have virtual ‘in-person’ meetings thanks to VR, while everyone is somewhere else in the world.

远程机器人可以使更多的员工在家工作，比目前可能的。例如，一个机械工程师可以操作一个机器人，修理一个漏水的地下管道，而不必离开他们的家庭办公室。更进一步说，多亏了虚拟现实技术，管理层可以召开虚拟“面对面”会议，而每个人都在世界的其他地方。

In the coming years, artificial intelligence will enable a more efficient remote workforce and significantly increase work-life balance for employees.

在未来几年，人工智能将使远程工作变得更加高效，并显著提高员工的工作与生活平衡。

4. Optimise Your Workplace

4.优化你的工作场所

Any process, device, infrastructure, or customer touchpoint can be made smart by including sensors that are connected to the internet. With the number of connected devices available growing exponentially, this is easier than ever before. In the near future, sensors and connected devices will result in smart homes, smart offices, and smart cities. Hence, employees should be prepared for the smart workplace, where artificial intelligence will create a personalised employee experience.

任何流程、设备、基础设施或客户接触点都可以通过包括连接到internet的传感器来实现智能化。随着可连接设备的数量呈指数增长，这比以往任何时候都要容易。在不久的将来，传感器和连接设备将产生智能家庭、智能办公室和智能城市。因此，员工应该为智能工作场所做好准备，在那里，人工智能将创造个性化的员工体验。

In 2015, the then smartest building in the world opened: The Edge in Amsterdam. This building knows who is in the building, what their preferences are, and how you like your coffee. Since then, the digital workplace is becoming increasingly intelligent thanks to sensors, machine learning and wireless (virtual) beacon technology. Sensors and AI can improve lighting control, room control, space management and optimise overall facility management. The objective of smart workplaces is to boost productivity by creating the most-optimal, personalised, workplace for your employees.

2015年，当时世界上最聪明的建筑开放了:阿姆斯特丹的the Edge。这栋楼知道谁在这栋楼里，他们的喜好是什么，以及你喜欢喝什么样的咖啡。从那以后，由于传感器、机器学习和无线(虚拟)信标技术，数字工作场所变得越来越智能。传感器和人工智能可以改善照明控制、房间控制、空间管理和优化整体设施管理。智能工作场所的目标是通过为员工创造最理想、最个性化的工作场所来提高生产力。

5. Leadership and Culture

5.领导力和企业文化

Your culture needs to change to become a data-driven culture, where actions can be taken in real-time, decisions are automated, and employees are empowered. Artificial intelligence improves your decision-making across your organisation and helps you understand which opportunities are best to be seized. In the near future, artificial intelligence will facilitate advanced automated analytics where it replaces the need for human decision-making with automated decision-making. Such analytics will enable organisations, for example, to choose the best marketing message automatically instead of needing a marketing manager to make such a decision.

你的企业文化需要转变为数据驱动的企业文化，在这种文化中，可以实时采取行动，决策是自动化的，员工得到授权。人工智能提高了你在整个组织中的决策能力，帮助你了解哪些机会是最应该抓住的。在不久的将来，人工智能将促进高级自动化分析，用自动化决策代替人工决策。例如，这样的分析将使组织能够自动选择最佳的营销信息，而不需要营销经理做出这样的决定。

Consequently, artificial intelligence will offer your management and employees advanced insights using descriptive, predictive, and prescriptive analytics. This means that the traditional way of decision-making, based on experience and expertise, is exchanged for data-driven decision-making. When organisations provide more people with access to knowledge, power is distributed more equally, enabling employee empowerment within an organisation. This power shift is necessary to fully benefit from big data analytics, and it will significantly change your culture.

因此，人工智能将为您的管理层和员工提供使用描述性、预测性和规范性分析的先进见解。这意味着基于经验和专业知识的传统决策方式将被转换为数据驱动的决策。当组织为更多的人提供获取知识的途径时，权力就会更公平地分配，从而在组织内赋予员工权力。这种权力转移是充分受益于大数据分析的必要条件，它将极大地改变你的文化。

6. Productivity

6.生产力

When AI will augment humans in doing their jobs, productivity increases. Robots do not get sick, do not need breaks and can work 24/7. As a result, companies that have incorporated AI in their workspace have seen a significant boost in their productivity and revenue. AI can handle the mundane and monotonous tasks, while humans can focus on more complex problems. As a result, an organisation implementing AI will become more humane.

当人工智能将增强人类的工作能力时，生产力就会提高。机器人不会生病，不需要休息，可以全天候工作。因此，将人工智能纳入工作空间的公司，其生产率和收入都得到了显著提高。人工智能可以处理平凡而单调的任务，而人类可以专注于更复杂的问题。因此，实施人工智能的组织将变得更加人性化。

For example, AI-powered chatbots can provide a seamless experience to your customers and resolve the most basic questions instantly. Or AI can analyse sales calls and offer in real-time tips for sales managers to improve communication with clients. The company Chorus helps to unlock hidden insights from a conversation to close more deals.

If organisations implement AI successfully, the new ways of cooperation among those stakeholders involved (human and artificial) will ensure continued productivity growth.

例如，人工智能驱动的聊天机器人可以为您的客户提供无缝体验，并立即解决最基本的问题。或者，人工智能可以分析销售电话，并为销售经理提供实时提示，以改善与客户的沟通。公司的协作有助于从对话中发掘隐藏的洞察力，从而达成更多交易。

如果组织成功地实施了人工智能，那么这些利益相关者（人类和人工）之间新的合作方式将确保生产率的持续增长。

7. Training & Development

7.培训和发展

Finally, but certainly not least, comes AI-improved training and development. Corporate training becomes increasingly important in the competitive market and employees want to develop better skills continuously. Personalised training and development programs can undoubtedly help in retaining your staff.

最后，但肯定不是最不重要的，是人工智能改进的培训和发展。企业培训在竞争激烈的市场中变得越来越重要，员工希望不断提高技能。个性化的培训和发展计划无疑有助于留住你的员工。

Chatbots can deliver micro-learning classes at the right moment in time to the right customer. As Miguel Caraballo, Director of Learning and Development at Hodges-Mace, states, “Imagine this, your rookie salesperson is about to visit a client. When she pulls into the parking lot, the company learning-bot pings her phone offering to show a micro-learning class about positive first impressions along with a link to the prospect’s ‘About Us’ page and her manager’s last coaching notes. Now that is a personalised learning experience”.

聊天机器人可以在合适的时间和地点为合适的客户提供微型学习课程。正如Hodges-Mace的学习和开发总监Miguel Caraballo所说的那样，“想象一下，您的新手销售人员即将拜访客户。当她把车开进停车场时，这家公司的学习型机器人会按下她的手机提示，向她展示一个有关正面第一印象的微型学习班，并附上潜在客户的“关于我们”页面和她的经理最后的指导说明。现在，这是一种个性化的学习体验。”

In addition, similar to how AI can analyse assessments during the recruitment process, AI can analyse training results and offer a personalised training program depending on missing skills. The company Hive Learning uses AI to help employees learn better, faster and more efficient. The company focuses on mobile-first, peer-to-peer learning where AI helps to drive behaviour change.

此外，与人工智能在招聘过程中分析评估结果类似，人工智能可以分析培训结果，并根据缺失的技能提供个性化的培训计划。Hive Learning公司使用人工智能来帮助员工更好、更快、更高效地学习。该公司专注于移动为先的点对点学习，人工智能有助于推动行为改变。

The Future of Work Will be Different

未来的工作会非常不同

The future of work will be more advanced, more efficient, more productive and hopefully also more human. In today’s organisations, employees have to deal with a lot of administrative tasks and bureaucratic processes. However, in the organisation of tomorrow, such tasks and processes will be managed by AI. Within the organisation of tomorrow, humans and AI will work together. Thereby augmenting humans and removing mundane tasks.

未来的工作将更先进、更高效、更有成效，也更人性化。在当今的组织中，员工必须处理大量的行政任务和官僚程序。然而，在未来组织中，这些任务和过程将由人工智能来管理。在未来的组织中，人类和人工智能将一起工作。从而增加了人类的数量，减少了单调的工作。

AI will automate more and more tasks. It will disrupt, augment and improve many of the existing work processes. As a result, humans can focus more on the people (your employees and customers) within the organisation, making your organisation more humane. Those organisations that adapt and embrace AI in the workplace will become more efficient, increase productivity and become more humane. However, those organisations that will ignore AI will become redundant rapidly.

人工智能将使越来越多的任务自动化。它将中断、增强和改进许多现有的工作流程。因此，人们可以更多地关注组织内的人（员工和客户），从而使组织更人性化。那些在工作场所适应并接受人工智能的组织将变得更有效率，提高生产率，变得更人性化。然而，那些忽视人工智能的组织将很快变得多余。

Image: Kit8.net/Shutterstock

图片来源：Kit8.net/Shutterstock