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betway必威官网手机版公司研发部的数字化转型,

来源:http://www.abirdfarm.com 作者:betway必威官网手机版 时间:2019-07-09 13:23

原标题:看物联网怎么样影响当今7大首要行当

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A few months ago, chatting with my friend, she mentioned that her company was already using robots working in Finance Share Center. The robots can work 7x24 hours per week, no complains, no overtime pays. It saved around 20 headcounts. Yes, we are living in the Big Data era. More and more people believe that Big Data will change our lives and works thoroughly within the next three years. Big Data delivers the potential to find value no one knew before, whether you are trying to maximize production, cut costs or boost efficiency. Data can be turned into dollars.

BY MICHAEL E. PORTER AND JAMES E. HEPPELMANN

Couple months ago, China's 'blue sky' project shut down numerous factories nationwide which involved in air contamination. This action caused a delay production of many factories, with supply cannot satisfy the high demand, the purchase price of certain products surged up.

纯净的措施无法定义物联网(IoT)——无论是在系统项目也许在运用案例中,物联网都因行当而异。分化世界里面包车型客车物联网迥然差别,为了浓厚掌握物联网对各行当的熏陶,Forbes(ForbesInsight)与英特尔(英特尔)合营,对700名了解其单位物联网项目实行的经理举行了考查。

基于埃森哲的流行预测,到二零二零年,五分二的中外经济会被数字化,但这一展望并从未告诉大家整个轶事。因为具有的经济贸易流程都不只在经历数码化-从模拟到数字功率信号-更进一竿是在经验数字化-这一变动将把实体和编造混合在共同。

Internet of Things (IoT) is the basis of Big Data. It refers to network of physical devices, vehicles, buildings and other items which are embedded with electronics, software sensors, actuators & network connectivity that enable these objects to collect & exchange data. Anything that can be connected, will be connected. The internet is leveling the playing field. IoT is a game change technology. To be competitive in the future, companies will need to take action now.

There is a fundamental disconnect between the wealth of digital data available to us and the physical world in which we apply it. While reality is threedimensional, the rich data we now have to inform our decisions and actions remains trapped on two-dimensional pages and screens. This gulf between the real and digital worlds limits our ability to take advantage of the torrent of information and insights produced by billions of smart, connected products (SCPs) worldwide.

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多多企业对此力不胜任。事实上,依据Forester数据,独有5%的的市廛宣称他们早已熟知运用数字化转型取得了竞争性差别,对制造型公司来讲这一挑战更加的严谨。从研究开发到制作到物流,都能看到运维业务在被数字化科学和技术术退换变。

• Real time operating data – Information for agile decision-making to improve the bottom line

Augmented reality, a set of technologies that superimposes digital data and images on the physical world, promises to close this gap and release untapped and uniquely human capabilities. Though still in its infancy, AR is poised to enter the mainstream; according to one estimate, spending on AR technology will hit $60 billion in 2020. AR will affect companies in every industry and many other types of organizations, from universities to social enterprises. In the coming months and years, it will transform how we learn, make decisions, and interact with the physical world. It will also change how enterprises serve customers, train employees, design and create products, and manage their value chains, and, ultimately,how they compete.

Image: Google

图表源于ISTOCK

从研发部门开始,研究开发数字化转型的四条道路如下:

• Advanced solutions – Cloud – enabled software that achieves greater connectivity, unifies systems, processes more data and finds more ways to use data to run a smarter operation.

In this article we describe what AR is, its evolving technology and applications, and why it is so important. Its significance will grow exponentially as SCPs proliferate, because it amplifies their power to create value and reshape competition. AR will become the new interface between humans and machines, bridging the digital and physical worlds. While challenges in deploying it remain, pioneering organizations, such as Amazon, Facebook, General Electric, Mayo Clinic, and the U.S. Navy, are already implementing AR and seeing a major impact on quality and productivity. Here we provide a road map for how companies should deploy AR and explain the critical choices they will face in integrating it into strategy and operations.

China made up its mind to solve the problem of pollution, social economic activities like trading and manufacture, which indirectly influent the ecology are gradually changing to become more environmentally friendly, for the sake of sustainable development.

核算显示,在创设业和财政和经济服务业,物联网系统的加强不过引人瞩目。这两者中,分别有51%和42%的正统老董表示,过去四年,他们的网络覆盖增速超过了十分一。

Fully one-quarter of the world’s economy will be digital by 2020, forecasts a new report from Accenture. But that prediction doesn’t tell the whole story. Because increasingly, all business processes will be not only digitized – converted from analog to digital – but also digitalized – transformed in a way that blurs the physical and virtual.

• Reduced unplanned downtime - Data analytics identify patterns that reliably predict future events, giving companies the tools to detect and prevent abnormal situations.

WHAT IS AUGMENTED REALITY?

Wastewater from textile industry causes too much pollution

After decades of almost unbridled industrial growth that left China with a legacy of rampant pollution, shrinking aquifers and soaring water prices, the government is cracking down on big industrial users, and the textile industry is in the front line.

Cloth-making ranks third in China for the amount of wastewater it discharges -- 3 billion tons a year -- after chemicals and paper, according to a 2015 report by New York-based non-profit group Natural Resources Defense Council, which has an office in Beijing.

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Image: Google

The price of ensuring a sustainable water supply in China is yet another expense for factories that are already being squeezed by higher land and labor costs. And while automation and overseas production offer some respite, China’s companies are turning to other technologies to preserve operating margins that, even for major players such as Crystal International Group Ltd., can be less than 10%.

In 2015, China released its Water Ten Plan, ushering in stricter wastewater regulations. It sets out 10 general measures to control pollution discharge, promote technology and strengthen water management, with a 2020 deadline to meet its goals.

The stricter water rules are part of China’s actions to increase enforcement in environmental measures. Penalties for environmental violations by the country’s manufacturers rose 34 percent in 2015, from the previous year, according to China Water Risk, a Hong Kong-based non-profit organization focusing on disclosing risks related to China’s water resources.

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Image:Bloomberg. Bacteria samples at the research laboratory in Hong Kong

查明开掘,金融服务、医治保养和创设业是物联网思维的领头羊。大多动静下,他们正将物联网质量与庞大的高端级解析或人工智能联系起来。临近30%的金融服务业CEO(大概占据半数)表示,他们具有完善的物联网布置,其次是医治机构(大约攻陷50%)。在创建业和财政和经济服务业,物联网系统的升高但是醒目。那二者中,分别有59%和42%的正儿八经主任表示,过去四年,他们的互连网覆盖增速超过了一成。

Many organizations are struggling to respond. In fact, only five percent of companies say they’ve mastered digital transformation to the point of competitive differentiation, according to Forrester.

Under the environment of Big Data explosion and rapid growth of IoT, customers expect companies to provide faster, agile & flexible analytics and solutions. In order to better serve customers, not only high-tech companies, but also a lot of traditional companies are enhancing their strategy to grow software and data analytics capabilities.

Isolated applications of AR have been around for decades, but only recently have the technologies required to unleash its potential become available. At the core, AR transforms volumes of data and analytics into images or animations that are overlaid on the real world. Today most AR applications are delivered through mobile devices, but increasingly delivery will shift to hands-free wearables such as head-mounted displays or smart glasses. Though many people are familiar with simple AR entertainment applications, such as Snapchat filters and the game Pokémon Go, AR is being applied in far more consequential ways in both consumer and business-to-business settings. For example, AR “heads-up” displays that put navigation, collision warning, and other information directly in drivers’ line of sight are now available in dozens of car models. Wearable AR devices for factory workers that superimpose productionassembly or service instructions are being piloted at thousands of companies. AR is supplementing or replacing traditional manuals and training methods at an ever-faster pace.

Producing clothes has to meet the water quality standards

The clean-up goes to the heart of an industry that leveraged decades of cheap labor and capital, and a unique close-knit supply chain of cloth, dyeing, sewing, fasteners, trimmings, labels and logistics, to deliver so-called fast fashion in textile industry -- rapidly shifting style from the catwalk to the mass market at prices that make clothes almost a disposable commodity.

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Image: Google

“Customers are happy because clothes are even cheaper than a decade ago, and retailers can benefit from low costs,” said Felix Chung, a Hong Kong legislator representing the textile industry. “But the result is massive waste -- and the brands will need to pay for it in the future.”

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Image: Bloomberg

With that model coming under fire for its environmental record, top brands like H&M, Target Corp. and Gap Inc. have adopted water quality standards for their suppliers and monitor them to protect their reputation with consumers.

Owners of brands including H&M, Zara, Nike and Adidas are among those that have committed to achieve zero discharge of hazardous chemicals in production by 2020.

The problem is how to achieve better environment and labor standards without raising prices for consumers who have become addicted to cheap clothes industry.

那么,通讯、能源、金融服务、医治、创制业、零售业和平运动输业的首席施行官们是何等将物联网“为作者所用”的吗?请继续读书本文。

The challenge is especially acute for manufacturers. From innovation to production to logistics, manufacturers are seeing their operations revolutionized by digital technologies.

Along with business transformation, finance also need to deploy transformation. Comparing to traditional finance structure, the major changes of future state came from:

More broadly, AR enables a new information-delivery paradigm, which we believe will have a profound impact on how data is structured, managed, and delivered on the internet. Though the web transformed how information is collected, transmitted, and accessed, its model for data storage and delivery—pages on flat screens—has major limits: It requires people to mentally translate 2-D information for use in a 3-D world. That isn’t always easy, as anyone who has used a manual to fix an office copier knows. By superimposing digital information directly on real objects or environments, AR allows people to process the physical and digital simultaneously, eliminating the need to mentally bridge the two. That improves our ability to rapidly and accurately absorb information, make decisions, and execute required tasks quickly and efficiently.

A new way of removing factory waste arrives!

In a Hong Kong laboratory, researchers are working with one of the world’s biggest cloth makers to improve its production process using a special ingredient: bacteria.

TAL Apparel Ltd., which has factories in mainland China and Southeast Asia, has teamed up with City University to identify bacteria that canclean up more efficiently the vast quantities of wastewater in the textile industry produces.

It’s one of hundreds of efforts by China’s private and state-owned companies to fix a problem that could end up rewriting the playbook of the textile industry.

“We talk about social responsibility, but people are not willing to pay for it,” said TAL’s chairman Harry Lee. “Stricter regulation requires manufacturers to upgrade their facilities. It’s good, but it requires capital.”

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Image: Google

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That starts with research and development. Here are four key ways digitalization is transforming R&D:

• Commercial finance would be the primary partners of business. It would be embedded into the business as one core part of management theme to deliver P&L results, involve planning & forecasting, making investment decisions and cost management.

AR displays in cars are a vivid illustration of this. Until recently, drivers using GPS navigation had to look at a map on a flat screen and then figure out how to apply it in the real world. To take the correct exit from a busy rotary, for example, the driver needed to shift his or her gaze between the road and the screen and mentally connect the image on the map to the proper turnoff. AR heads-up displays lay navigational images directly over what the driver sees through the windshield. This reduces the mental effort of applying the information, prevents distraction, and minimizes driver error, freeing people to focus on the road. (For more on this, see the sidebar “Enhancing Human Decision Making.”)

Using “super bacteria” to remove wastewater

TAL had been buying bacteria from other labs to treat water used in washing cloth. Using bacteria instead of chemicals to digest organic compounds can cut the amount of waste sludge generated by as much as 80% and enables 100% of the water to be recycled in the plant.

During a production halt during the week-long Chinese New Year break this year, the bacteria in its system died, so TAL set up a research program that is using DNA sequencing to find a “super bacteria” that would be cheaper and more efficient, Lee said.

But researching and upgrading technology are expensive. For many smaller suppliers on wafer-thin margins, it’s money they don’t have. In a June-July survey of 85 Chinese textile manufacturers by China Water Risk, more than half those polled said they have invested at least 2 million yuan to upgrade their factories -- equivalent to almost 40% of the average annual profit for a small textile company in 2012.

More than a quarter of the suppliers said the effort had increased operating costs by between 20% and 40%. 14% felt they may face the risk of having to shut down.

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Image: Bloomberg. Plates of cell culture at the research laboratory

通信

1. 终极花费者更独立

科技(science and technology)给予用户越来越多自由。近来用户已经具备及时和国家长期安定的新闻,包罗产品、品质和价格 – 无论是你依然你的竞争对手。过去,假如您曾经是有个别世界的首领士,竞争者处于瑕疵。明日,用户们明白你是什么样在世界范围和对手们竞赛的,你过去的市集领导者地位变得非亲非故重要。

那不唯有是出售和市场的主题素材,那也成为研究开发的标题,因为她们不能够不用最快的快慢对客户改动的要求进行反应,好音讯是科学和技术早就有了消除方案。譬如,重新规划智能产品,利用了物联网(IoT)传感器,研究开发职员能够获得使用数据去询问客户的须求,以及产品展现多少,可用来学学以及高效革新产品。

• In the meanwhile, finance operations would be centralized in corporate level to provide consistent high-value finance services to all businesses, such as management reporting & analysis, closing and booking reconciliation, collections & payments management, travel & expense management.

AR is making advances in consumer markets, but its emerging impact on human performance is even greater in industrial settings. Consider how Newport News Shipbuilding, which designs and builds U.S. Navy aircraft carriers, uses AR near the end of its manufacturing process to inspect a ship, marking for removal steel construction structures that are not part of the finished carrier. Historically, engineers had to constantly compare the actual ship with complex 2-D blueprints. But with AR, they can now see the final design superimposed on the ship, which reduces inspection time by 96%—from 36 hours to just 90 minutes. Overall, time savings of 25% or more are typical for manufacturing tasks using AR.

Higher price for textile industry is coming?

The day is coming when retailers will have to adjust their retail prices as manufacturers cannot continue to absorb the costs of compliance. “There are clear questions around the long-term business model, especially around potential cost-sharing by brands and consumers,” said Dawn McGregor, a Hong-Kong based manager at China Water Risk. “We’ve already seen manufacturers shutting down and consolidating, which means less choice and higher prices for brands.”

The big retail brands are also playing a part in trying to develop techniques that would cut costs and allow the industry to be less wasteful.

H&M Foundation, a non-profit organization under the Stefan Persson family, founders and main owners of H&M group, announced this September that research with its partner, the Hong Kong Research Institute of Textiles and Apparel, had developed a chemical process that could recyle blended textiles into new fabrics and yarns. The foundation offered a 1 million euro award this year to encourage ideas for a more sustainable way to use resources in the fashion industry.

At the Hong Kong lab, scientists hope to develop their super bacteria within two years. If they succeed, TAL will share the results with other manufacturers, Lee said.

“Hopefully more factories will be willing to use it,” said Lee, “But it’s a very slow process.”

Textile manufacturers are facing a dilemma, either being punished for a penalty of pollution or upgrading their facilities to meet up the environmental standard, both choices eventually lead to a high manufacture cost. We could expect customers will pay for the extra expense at the end.

Source: Bloomberg, The Guardian

betway必威官网手机版公司研发部的数字化转型,看物联网如何影响当今7大关键行业。HiTouch Consulting, established in 2009, is dedicated to providing professional business and legal solutions to international and domestic companies.Open Hong Kong Bank Account in GuangZhou,HiTouch can serve you.

对此邮电通讯供应商和任何通讯公司以来,移动革命呈现了物联网的转型。在参预核准的通讯公司中,约有二分之一(大概侵夺57%)的铺面只怕在工艺流程中寄放物联网,要么在根本业务领域中放置物联网。在通讯企业,最普及的物联网数据源包涵音频设备(大略攻下56%),其次是移动电话(大约攻陷42%)。最为常见的选用是防备性维护(大抵攻克三分之一),其次是努力提升员工生产力(大概占领百分之三十)。其它,超过十分之四的通讯供应商在动用Computer视觉和分析技巧以越来越好地理解、预测客户行为以及基金趋势方面处于超越地位,约38%的接受访问者表示,他们曾经在铺子的各机构间完成了可视化分析。

1. End consumers are more empowered

Technology has put consumers in the driver’s seat. Customers now have instant, constant access to information about products, quality, and pricing – for both you and your competitors. In the past, if you had established yourself as a leader in a region, the competition was at a disadvantage. Today, customers know how you stack up against rivals around the world, and your past market leadership is irrelevant. This isn’t just a problem for sales and marketing. It’s also a problem for R&D, which must respond – in as near to real time as possible – to changing customer demands. The good news is that technology is also the solution. For example, by designing smart products that leverage Internet of Things (IoT) sensors, R&D can capture usage data to understand customer desires and capture performance data to learn how to improve products rapidly.

The changes of finance operating model would help commercial finance to split from routine daily finance transactions so as to concentrate on driving business profitable growth. All business performance will be finally reflected by finance reports. Stakeholders would like commercial finance team to improve on below 3 aspects:

AR’S KEY CAPABILITIES

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2. 透明化重新建立生产者合作的格局

音信化正在改换创造业里面以及供应商打交道的办法。那对每种部门都适用,特别是研究开发部。

当研究开发新的智能产品时,需求的研究开发技能在改变。小车行当正是个很好的例子。十四年前,小车早先选择电子化,比如外燃机调整连串。今日,大概具备的小车研究开发都能够阅览。十年内,电子化会让小车朝无人驾车的趋向前进。

那会小幅度地改成小车的筹算。过去,机械程序员领导着小车设计,电子只可是是点缀。时至明天,软件开拓-和事先很不平等的须要和安插性周期-开头步向整个工艺流程。在小车行当以及大概各种行业,产品设计都在教导新的功利相关者,就不能不思索选取新措施来合作。

• Helping business to achieve growth target.

As we’ve previously explained (see “How Smart, Connected Products Are Transforming Competition,” HBR, November 2014), the SCPs spreading

能源

2. Transparency is rewriting how manufacturers collaborate

Information access is changing the way manufacturers interact both internally and with suppliers. This is true for every function, but especially for R&D.

As R&D creates more smart products, the skills it requires are changing. The automotive industry is a case in point. Fifteen years ago, cars began to incorporate electronics such as engine-control systems. Today, electronics are where most automotive R&D is happening, and within 10 years, electronics will allow cars to pretty much drive themselves.

That dramatically changes how cars are designed. In the past, mechanical engineers led design efforts, and electronics were merely an add-on. Today, software development – with its very different requirements and design cycles – is integral to the process. In the automotive industry and in virtually every other industry, product design will involve new stakeholders who must work together in new ways.

• Anticipating needs and requirements proactively

through our homes, workplaces, and factories allow users to monitor product operations and conditions in real time, control and customize product operations remotely, and optimize product performance using real-time data. And in some cases, intelligence and connectivity allow SCPs to be fully autonomous.

财富公司侧向于将职业分流到偏远地区,如供给不停车检查查测验的油气田。能源行当近二分一的老总(大略私吞一半)提议,他们只怕在选定的职能部门施行了物联网,要么在其业务领域拓展了科学普及的物联网陈设。首要数据源包括机械安装(大概攻下1/4)和机器人(大概并吞一半)。财富集团正转向用物联网来监督资金变现(大略占有59%)、提高客户体验(大概占有43%)和抓牢总体效能(大概侵占四分之三)。有三分之一(大抵攻陷34%)的接受访问者表示,他们早就在公司内部深远布置了视觉深入分析。举例,安装在拍照头上的无人驾驶飞机能够扶助集团监察和控制生产地方及设备的符合规律和安全,在万分情状成为危急此前就意识它们。

3. 购买出卖模型更加灵活

千古,产品设计员们为出卖产品的店堂服务。但更为多的状态下,公司不在卖产品,而是卖服务。那给研究开发带来根性情的熏陶。

一个很好的例子是SAP的中型公司客户生产工业用气体压缩机。明年,它们意识到花费者要的不是气体压缩机,而是压缩气。然后他们就起来提要求买主裁减气体,作为一项服务。在那前边,他们布置和生育空压机,并卖给顾客。今后,他们设计和生产空压机,装到顾客的小卖部,然后赚顾客压缩气的钱。

这一全新的商业方式会转移研究开发部是什么样布署规划的。第一,供给统一绸缪物联网传感器来实时监督压缩机,同临时间保险预测性维护。第二,必要优化维护的长时间性和易用性。集团落到实处的贰个方法是让技术员定期和现场服务人口关系,第不时间掌握机器是怎么运作的。

• Providing user friendly finance tools and reports.

AR powerfully magnifies the value created by those capabilities. Specifically, it improves how users visualize and therefore access all the new monitoring data, how they receive and follow instructions and guidance on product operations, and even how they interact with and control the products themselves.

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3. Business models are growing more flexible

In the past, product designers worked for companies that sold products. But increasingly, manufacturers will sell not products but services. That affects R&D in fundamental ways.

A good example is a midsize SAP client that makes industrial air compressors. Some years ago it realized customers wanted not air compressors but compressed air. So it began offering compressed air as a service. Before this time, it designed and manufactured air compressors and then sold them to customers. Now, it designs and manufactures air compressors, installs them at customer sites, and then charges for the compressed air customers consume.

That new business model changes how R&D develops products. First, it needs to design in IoT sensors to monitor the compressors in real time and enable predictive maintenance. Second, it needs to optimize longevity and ease of maintenance. One way the company achieves that is by having engineers regularly spend time with field service to see firsthand how equipment is performing.

To achieve the target from report-driven to analysis-driven and improve satisfaction of stakeholders, finance need to deploy a series of activities on business analytics transformation.

X-ray vision, revealing internal features that would be difficult to see otherwise. At the medical device company AccuVein, for instance, AR technology converts the heat signature of a patient’s veins into an image that is superimposed on the skin, making the veins easier for clinicians to locate. This dramatically improves the success rate of blood draws and other vascular procedures. AR more than triples the likelihood of a successful needle stick on the first try and reduces the need for “escalations” (calling for assistance, for example) by 45%.

金融服务

4. 商业贸易流程变得特别面向顾客

其实,83%搜罗对象相信数字化正在从需要侧的规模经济效应向建立在顾客和合作同伴互相关系上的供给侧的经济。集团必须和买主连接更紧密,那是新的经济贸易模型的内需。再来看空压机的例证,集团并从未投资在资本密集型的空压机上,而一味是缔结压缩气的合同。合同的末段,倘诺切换来更有益的合同会要求点补偿。相同的方式将会动用在相当多另外行业的出品上。

Common Process / System

Bosch Rexroth, a global provider of power units and controls used in manufacturing, uses an AR-enhanced visualization to demonstrate the design and capabilities of its smart, connected CytroPac hydraulic power unit. The AR application allows customers to see 3-D representations of the unit’s internal pump and cooling options in multiple configurations and how subsystems fit together.

金融服务机构具备惊人安全意识,由此特别信赖网络录制头和别的视觉传感器,以管教其配备的趋向。如上所述,金融服务在物联网安排方面处于抢先地位,二分之一的核实对象具备一定水平的本领。在视觉分析应用地方,这一天地的商家也远远抢先——三分之一的商城告诉说,他们已经开拓并落到实处了将摄像头和视觉传感器连接到人工智能和剖判系统上的技能。对经李修缘司来讲,手提式有线电话机是首推的终点设备(约三分之一的受访者选拔了手提式有线电话机),还会有录制头和传感器(大抵攻克1/2)。尽管金融公司在物联网专门的学问中有两个对象,但断定首先要消除的是扩展网络连通性(大约占领31%),并将物联网作为抓好安全性的工具(大略占有百分之二十五)。

4. Business processes are becoming more customer centric

In fact, 83% of executives believe digitalization is driving a shift from supply-side economies of scale to demand-side economies based on interconnection with customers and partners, according to the Accenture report.

Manufacturers will have to be more connected to customers, because new business models will demand it. Take the air compressor customer. It hasn’t invested in a capital-intensive air compressor; it’s simply contracted for compressed air. At the end of the contract, there’s little disincentive to switching to a more attractive contract. The same will be true for many products across many industries.

betway必威官网手机版,那将何以转移研究开发呢?为了保持基本差距,设计周期必将要加速。比如,相当多汽车制造商只是当花费者来店里维修时更新电子类。Tesla独辟蹊径,他们一贯把新指标和效果与利益做定时软件更新。如若竞争者也初叶学的话,不要被吓着了。

总来说之,数字化经济起于顾客,终于顾客。顾客更有权力,所以公司必须变得更面向客户,未有哪个部门比研究开发部更适合的了。

How does that change R&D? Design cycles will have to accelerate to maintain competitive differentiation. For example, most carmakers update a car’s electronics only if the customer happens to come in for service. Tesla has upped the ante by sending new features and functions directly to the consumer through regular software updates. Don’t be surprised if its competitors start to follow.

Ultimately, the digital economy begins and ends with the customer. Customers are more empowered, so companies need to become more customer-centric. And nowhere is that more true than in R&D.

For more insight on the new customer-centric digital economy, see Customer Relationship Status: It’s Complicated.

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"本译文仅供个人研习、欣赏语言之用,谢绝任何转发及用于其余商业用途。本译文所涉法律后果均由小编负担。本身同意简书平台在接获有关作品权人的通报后,删除小说。"

Multi-national companies normally organize several of Business Groups. Each business group has several of business units and each business units has several of line of business. Some legal entities are shared by several of business units. Some legal entities are standalone for exact business unit.

Instruct and guide. AR is already redefining instruction, training, and coaching. These critical functions, which improve workforce productivity, are inherently costly and labor-intensive and often deliver uneven results. Written instructions for assembly tasks, for instance, are frequently hard and timeconsuming to follow. Standard instructional videos aren’t interactive and can’t adapt to individual learning needs. In-person training is expensive and requires students and teachers to meet at a common site, sometimes repeatedly. And if the equipment about which students are being taught isn’t available, they may need extra training to transfer what they’ve learned to a real-world context.

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In addition to the complex legal entity structure, multi-national companies have the complicated business models as well, not only including comprehensive product basis business in different kinds of industries, but also long term project basis business which combined products, engineering delivery, service, software etc. to provide total solutions to customers. Furthermore, besides organic growth, multi-national companies always seek growth opportunities from merger and acquisitions. All these factors put together have increased the complexity on finance management dramatically.

AR addresses those issues by providing real-time, on-site, step-by-step visual guidance on tasks such as product assembly, machine operation, and warehouse picking. Complicated 2-D schematic representations of a procedure in a manual, for example, become interactive 3-D holograms that walk the user through the necessary processes. Little is left to the imagination or interpretation.

医治保养身体

Under this circumstance, Common Process / System is needed to cultivate one company culture. The vision is to deliver common best practice business processes with enabling systems and technologies to drive profitable growth and business transformation across corporation. The program is using global design model to connect commercial and Integrated Supply Chain (ISC) initiatives, deliver measurable business value, and best in class business processes.

At Boeing, AR training has had a dramatic impact on the productivity and quality of complex aircraft manufacturing procedures. In one Boeing study, AR was used to guide trainees through the 50 steps required to assemble an aircraft wing section involving 30 parts. With the help of AR, trainees completed the work in 35% less time than trainees using traditional 2-D drawings and documentation. And the number of trainees with little or no experience who could perform the operation correctly the first time increased by 90%.

关系医疗保养,顾客顾虑尤甚,他们愿意不仅仅在病榻前受到照拂,并且在候诊室、急救室和商务办公都能获取对应体验。当前,医治机构在物联网方面也走在了前方,三分之二的医疗机构已经配备了一定完美的器具。在医治领域,音频设备和移动电话是最重要的使用中装置,56%的行业接受访谈者都涉嫌了这或多或少。医生和护师拘押是最广泛的用例(大约占有41%),还应该有配备监察和提升客户体验感(大抵占有38%)。对许多接待上访来讲(大约攻下四分之一),他们或许利用视觉剖析来拉长客户服务和照料病患的水平。

Common process system not only provides more security and uniform environment, but also supplies better integration interfaces for merger & acquisitions.

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Multi-national companies will take benefits through common process system deployment.

AR-enabled devices can also transmit what an on-site user is seeing to a remote expert, who can respond with immediate guidance. In effect, this instantly puts the expert at the user’s side, regardless of location. This capability not only improves worker performance but substantially reduces costs—as Lee Company, which sells and services building systems, has discovered. It uses AR to help its field technicians with installations and repairs. A remote expert can see what the tech is viewing through his or her AR device, guide the tech through the work to be done, and even annotate the tech’s view with instructions. Getting expert support from a central location in real time has increased Lee’s tech utilization dramatically. And, by reducing the number of repeat visits, Lee saves more than $500 per technician per month in labor and travel costs. The company calculates a return of $20 on every dollar invested in AR.

制造业

• Consistent approach into defining and agreeing the business scope.

Interact. Traditionally, people have used physical controls such as buttons, knobs, and, more recently, built-in touchscreens to interact with products. With the rise of SCPs, apps on mobile devices have increasingly replaced physical controls and allowed users to operate products remotely.

创制商比任何行当的公司更依赖于重型机械来进行生产,由此,他们对驾驭机器质量兼备深厚的志趣。创造业组织有一层层的机会——通过Computer视觉来治本和追踪商品的位移,与人工智能加强系统相关联,能够在事件产生前预测依然补救。但那不唯有是治本机器的难点。总体来讲,与别的行当公司相比较,创立商正经历着物联网带来的最大转变。56%的创造业老董刚烈赞同物联网正在为他们的团协会开荒新的政工领域。另外,29%的创设业组长报告表达了,他们的物联网陈设使他们能力所能达到提供新产品或劳务,通信公司的那玖十几分比为29%。大繁多创设商(大概占领57%)声称他们所选取的事务领域是由物联网扶助的,也许表示他们已经在商城广泛地布局了物联网。30%的创造商表示,他们也持有可视化深入分析技巧,能够对花费和制品举办实时监察。移动电话和管理器种类是创造商物联网数据的最重要来源(分别大约侵占四分之二和二分之一),这一天地的严重性用例是防备性维护(大抵攻陷四分之二)和狠抓生产率(大约占有55%)。

• Early engagement of senior business leadership. The project management tools such as Business Readiness Scorecard and project plan provide better visibility on the progress of the project and business readiness.

AR takes the user interface to a whole new level. A virtual control panel can be superimposed directly on the product and operated using an AR  eadset, hand gestures, and voice commands. Soon, users wearing smart glasses will be able to simply gaze at or point to a product to activate a virtual user interface and operate it. A worker wearing smart glasses, for instance, will be able to walk a line of factory machines, see their performance parameters, and adjust each machine without physically touching it.

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• Focus on Business Engagement drives commitments and ownership into the business. Clarity of business readiness to implement the change.

The interact capability of AR is still nascent in commercial products but is revolutionary. Reality Editor, an AR app developed by the Fluid Interfaces group at MIT’s Media Lab, provides a glimpse of how it is rapidly evolving. Reality Editor makes it easy to add an interactive AR experience to any SCP. With it, people can point a smartphone or a tablet at an SCP (or, eventually, look at it through smart glasses), “see” its digital interfaces and the capabilities that can be programmed, and link those capabilities to hand gestures or voice commands or even to another smart product. For example, Reality Editor can allow a user to see a smart light bulb’s controls for color and intensity and set up voice commands like “bright” and “mood” to activate them. Or different settings of the bulb can be linked to buttons on a smart light switch the user can place anywhere that’s convenient.

零售业

• The structure, methods and phases gate outcomes drive the quality and consistency in the projects approach and outcomes. Business team prepared for successful operation from day one.

The technologies underpinning these capabilities are still emerging, but the accuracy of voice commands in noisy environments is improving, and advances in gesture and gaze tracking have been rapid. GE has already tested the use of voice commands in AR experiences that enable factory workers to perform complex wiring processes in wind turbines—and has achieved a 34% increase in productivity.

在零售中,发售上的气象并不囿于于发卖——顾客的行为和反应被钻探、评估和衍化。在调查切磋中,有一半的零售业老董(大抵侵吞59%)表示,他们正在积极布置物联网工作——要么跨机构陈设,要么跨集团广泛安插。大好些个人(大概攻陷50%)也表示,在听天由命程度上采纳了视觉深入分析,进而能够更加好地领略客户的宠幸和作为。最资深的物联网数据源满含Computer种类(大略攻下一半)和传感器(大概攻陷二分之一)。对于零售组织,首要用例是启用业务转移(大略占据57%)和提供加强虚构现实的培养(大抵占领43%)。

• A consistent focus on the measurement of Business Readiness ensures superior outcomes during project and post go live.

COMBINING AR AND VIRTUAL REALITY

7

Standardization Deployment

AR’s well-known cousin, virtual reality, is a complementary but distinct technology. While AR superimposes digital information on the physical world, VR replaces physical reality with a computer-generated environment. Though VR is used mostly for entertainment applications, it can also replicate physical settings for training purposes. It is especially useful when the settings involved are hazardous or remote. Or, if the machinery required for raining is not available, VR can immerse technicians in a virtual environment using holograms of the equipment. So when needed, VR adds a fourth apability—simulate—to AR’s core capabilities of visualize, instruct, and interact.

交通

Although standardization deployment was an operational excellence initiative which initially designed to improve the capabilities of manufacturing sites, it has proven successful in functional areas as well. Processes optimization is fostering speed and entrepreneurialism among our global business enterprises while allowing us to leverage the scale and process strength of a large company.

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通行关系运输和物流,物联网系统在治本这么些质量方面发布着职能。在通行有关集团的考查中,有八分之四的老板(大抵攻克60%)表示,他们大概正在进展部门级的物联网起步职业,要么已经在合营社中间贯彻了物联网手艺。最器重的用例是增高生产率(大约占据四分三)以及物流监视和路子规划(大约攻克十分之三)。近四分之二的运送公司(大概占据45%)在物联网职业中投入了某种程度的视觉解析,举个例子,能够在铁路轨道上安装录制头和传感器,以监测车轮总成的破坏或货车厢的万分情况。

Taking standardization deployment from plant to back office is one of development strategy for many famous companies. Standardization deployment will position finance organization for growth and improve business partnership through better process streamline across different business groups to increase efficiency and improve accuracy.

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正如以上案例所示,每一种行业都有从物联网中收益的或许。但是,如何洞悉这个技术的潜质,怎么样在集团和分级行在那之中实现技能的最大作用,则取决于总首席营业官们,善策者事竟成!

Finance standardization has not only the benefit to decrease the number of touch points so as to achieve fewer mistakes and quicker turnaround time, but also has the benefit to utilize existing personnel in higher impact activities, such as analytical tasks and greater professional growth. Finance transition will occur in the following aspects

AR will be far more widely applied in business than VR will. But in some circumstances, combining AR and VR will allow users to transcend distance (by simulating faraway locations), transcend time (by reproducing historical contexts or simulating possible future situations), and transcend scale (by allowing users to engage with environments that are either too small or too big to experience directly). What’s more, bringing people together in shared virtual environments can enhance comprehension, teamwork, communication, and decision making.

附俄语原来的书文如下

• Implementation of leadership standard work: Listing activities of daily / weekly / quarterly / annually for each finance roles such as finance analyst, finance manager, finance director, controllership etc. Ensuring people focus on the right thing consistently.

AR will be far more widely applied in business than VR will. But in some circumstances, combining AR and VR will allow users to transcend distance (by simulating faraway locations), transcend time (by reproducing historical contexts or simulating possible future situations), and transcend scale (by allowing users to engage with environments that are either too small or too big to experience directly). What’s more, bringing people together in shared virtual environments can enhance comprehension, teamwork, communication, and decision making.

How IoT Is Impacting 7 Key Industries Today

• Documentation of top three Standard Operating Procedures (SOPs) for each finance function: Reducing variability in process and approaches. It also help finance operation team to maintain high job quality even if challenged by high turnover rate.

Ford, for example, is using VR to create a virtual workshop where geographically dispersed engineers can collaborate in real time on holograms of vehicle prototypes. Participants can walk around and go inside these life-size 3-D holograms, working out how to refine design details such as the position of the steering wheel, the angle of the dashboard, and the location of instruments and controls without having to build an expensive physical prototype and get everyone to one location to examine it.

There is no single way to describe the Internet of Things (IoT)—it varies by industry, both in types of systems and in use cases. IoT in one sector is different from IoT in another. To better understand just how IoT is impacting a variety of industries, Forbes Insights, in partnership with Intel, conducted a survey of 700 executives familiar with their organization's implementation of IoT programs.

• Implementation of tiered accountability: Engaging all in identifying, developing and implementing improvements for the business. Harnessing the many and not just relying on the few.

The U.S. Department of Homeland Security is going a step further by combining AR instructions with VR simulations to train personnel in responding to emergency situations such as explosions. This reduces costs and—in cases in which training in real environments would be dangerous—risk. The energy multinational BP overlays AR training procedures on VR simulations that replicate specific drilling conditions, like temperature, pressure, topography, and ocean currents, and that instruct teams on operations and help them practice coordinated emergency responses to disasters without high costs or risk.

Growth in IoT systems has been most pronounced within the manufacturing and financial services sectors, with 47% and 42% of executives in these sectors, respectively, reporting growth in their networks exceeding 10% over the past three years.

• Visual management: Putting important documents in share folder and giving access to all team members. Making things simple, easy to understand and providing effective communication.

HOW AR CREATES VALUE

As the survey found, financial services, healthcare and manufacturing are leaders in IoT thinking, and in many cases, are connecting IoT capabilities with powerful advanced analytics or artificial intelligence. Close to six in 10 executives in the financial services sector, 58%, report having well-developed IoT initiatives, followed by healthcare organizations (55%). Growth in IoT systems has been most pronounced within the manufacturing and financial services sectors, with 47% and 42% of executives in these sectors, respectively, reporting growth in their networks exceeding 10% over the past three years.

• Rapid problem solving and value stream mapping: Involving functional experts on process design and streamline. Fixing issues quickly and finally, rather than letting them re-occur.

AR creates business value in two broad ways: first, by becoming part of products themselves, and second, by improving performance across the value chain—in product development, manufacturing, marketing, service, and numerous other areas.

Keep reading to find out more about how executives in communications, energy, financial services, healthcare, manufacturing, retail and transportation are leveraging IoT.

Global Data Warehouse (GDW) Initiative

AR as a product feature. The capabilities of AR play into the growing design focus on creating better user interfaces and ergonomics. The way products convey important operational and safety information to users has increasingly become a point of differentiation (consider how mobile apps have supplemented or replaced embedded screens in products like Sonos audio players). AR is poised to rapidly improve such interfaces.

1.Communications: For telecommunications providers and other communications companies, the mobile revolution is underscoring the shift to IoT. About half of the communications companies represented in the survey, 53%, either have IoT embedded into their processes or have it in key business areas. In communications companies, the most prevalent IoT data sources include audio devices (45%), followed by mobile phones (42%). The most prevalent application is preventive maintenance (44%), followed by efforts to increase employee productivity (40%). In addition, more than one-third of communications providers are in the forefront of applying approaches with computer vision and analytics to better understand and predict customer behavior, as well as the viability of assets. In total, 38% report they have implemented visual analytics across parts of their enterprises.

Through common process system and standardization implementation, it provides a good basis for GDW initiative. With ERP, for example Oracle, SAP, Hyperion etc. and business intelligence technology, such as Tableau, Brio, Global Data Warehouse (GDW) tool provides platform for optimal business intelligence solutions.

Dedicated AR heads-up displays, which have only recently been incorporated into automobiles, have been a key feature in elite military products, such as fighter jets, for years and have been adopted in commercial aircraft as well. These types of displays are too expensive and bulky to ntegrate into most products, but wearables such as smart glasses are a breakthrough interface with wide-ranging implications for all manufacturers. With mart glasses, a user can see an AR display on any product enabled to communicate with them.

2.Energy: Energy companies tend to have operations spread across remote locations such as oil and gas fields, which require continuous monitoring. Close to half of executives in the energy sector, 47%, indicate they either have implemented IoT across selected functions/business areas or have extensive IoT deployments. Leading data sources include machinery (49%) and robots (46%). Energy companies are turning to IoT to monitor asset performance (45%), enhance their customers’ experience (43%) and boost overall efficiency (40%). About one-third, 34%, report they have deployed visual analytics deeply within their enterprises. Camera-mounted drones, for instance, can help companies monitor the health and safety of production fields and facilities, spotting anomalies before they become a hazard.

Before GDW implementation, since most analysis and reporting are done offline using Excel, it directly leads to finance team spending most of their time on report maintenance rather than value-added activities for business. Furthermore, the manual reports have the following gaps:

If you view a kitchen oven through smart glasses, for example, you might see a virtual display that shows the baking temperature, the minutes remaining on the timer, and the recipe you are following. If you approach your car, an AR display might show you that it is locked, that the fuel tank is nearly full, and that the left-rear tire’s pressure is low.

3.Financial Services: Financial services organizations are highly security conscious, and therefore increasingly rely on networks of cameras and other visual sensors to ensure the viability of their facilities. As noted above, financial services leads the way in IoT deployment, with 58% of survey respondents having some degree of capabilities. Companies in this sector are also well ahead in terms of visual analytics adoption—51% report they have developed and implemented capabilities employing cameras and visual sensors connected to AI and analytics systems. Mobile phones are the leading endpoint choice for financial companies (cited by 51%), along with cameras and sensors (48%). While financial firms have multiple goals in their IoT efforts, most pronounced is the need to expand the connectivity of their networks (31%), along with employing IoT as vehicle for greater security (30%).

• Insufficient analytical capability (end-to-end, drilling, cross-functional analysis)

Because an AR user interface is purely software based and delivered via the cloud, it can be personalized and can continually evolve. The incremental cost of providing such an interface is low, and manufacturers also stand to save considerable amounts when traditional buttons, switches, and dials are removed. Every product manufacturer needs to carefully consider the disruptive impact that this nextgeneration interface may have on its offering and competitive positioning.

4.Healthcare: Within healthcare, there is concern about the experiences customers receive not only at bedsides, but also in waiting rooms, emergency rooms and business offices. Healthcare organizations are also leading the way with IoT, with 55% having fairly robust deployments in place. In healthcare, audio devices and mobile phones are the most essential devices in use, mentioned by 46% of respondents in the sector. Employee monitoring is the most prevalent use case (41%), along with monitoring facilities and enhancing customer experiences (each cited by 38%). The majority, 57%, also employ visual analytics to improve their levels of customer service and patient care.

• Inadequate visualization tools

AR can already be seen across the value chain, but they are more advanced in some areas than in others. In general, visualize and instruct/guide applications are now having the greatest impact on companies’ operations, while the interact capability is still emerging and in pilot testing.

5.Manufacturing: Manufacturers, more than companies in other industries, rely on heavy machinery to produce products and therefore have a deep interest in understanding the performance of these machines. Manufacturing organizations have a range of opportunities—through computer vision to manage and track the movement of goods, linked to artificial intelligence-enhanced systems that can predict, and even remediate, events before they happen.But there’s more to the story than managing machines. Overall, compared with other industry groups, manufacturers are seeing the greatest transitions from IoT. A majority of executives in manufacturing firms, 51%, “strongly agree” that IoT is opening up new lines of business for their organizations. In addition, 29% of manufacturing executives report their IoT efforts have enabled them to offer new products or services, along with 29% of those with communications companies. A majority of manufacturers, 51%, state either that selected business areas are supported by IoT or that they have deployed it extensively across their organizations. A majority, 52%, of manufacturers indicate they have visual analytics capabilities in place as well, enabling the real-time monitoring of assets and products. Mobile phones and computer systems are the main sources of IoT data for manufacturers (cited respectively by 48% and 47%), and the leading use cases in this sector are preventive maintenance (51%) and increasing productivity (49%).

• No mechanism for rapid integration of acquisition financial data

Product development. Though engineers have been using computeraided design (CAD) capabilities to create 3-D models for 30 years, they have been limited to interacting with those models through 2-D windows on their computer screens, which makes it harder for them to fully conceptualize designs. AR allows 3-D models to be superimposed on the physical world as holograms, enhancing engineers’ ability to evaluate and improve designs. For example, a life-size 3-D hologram of a construction machine can be positioned on the ground, and engineers can walk around it, peer under and over it, and even go inside it to fully appreciate the sight lines and ergonomics of its design at full scale in its intended setting.

6.Retail: In retail, what happens on the sales floor doesn’t stay on the sales floor—customer behavior and reactions are studied, evaluated and evolved. Half of the retail executives in the survey, 51%, report having robust IoT efforts underway—either deployed across departments or extensively across their enterprises. A majority, 53%, also report employing visual analytics to some degree, enabling a greater understanding of customer preferences and behavior. The most prominent IoT data sources include computer systems (51%) and sensors (47%). For retail organizations, the main use cases are enabling business transformation (44%) and providing training enhanced by augmented virtual reality (43%).

• Lack of consolidated reporting across business unit

AR also lets engineers superimpose CAD models on physical prototypes to compare how well they match. Volkswagen is using this technique—which makes any difference between the latest design and the prototype visually obvious—to check alignment in digital design reviews. This improves the accuracy of the quality assurance process, in which engineers previously had to painstakingly compare 2-D drawings with prototypes, and makes it five to 10 times faster.

7.Transportation: Transportation is about movement and logistics, and IoT systems are playing a role in managing these capabilities. About half of the executives in the survey in transportation-related organizations, 47%, report having either departmental-level IoT efforts underway or implementations that reach across their enterprises. The most important use cases are increasing productivity (40%) as well as logistics monitoring and routing (40%). Close to half of transportation companies, 46%, have some level of visual analytics incorporated into their IoT efforts. Cameras and sensors, for example, may be placed along railroad tracks to monitor wear and tear on wheel assemblies or anomalies with freight cars.

• Human mistakes

We expect that in the near future AR enabled devices such as phones and smart glasses, with their embedded cameras, accelerometers, GPS, and other sensors, will increasingly inform product design by exposing when, where, and how users actually interact with the product—how often a certain repair sequence is initiated, for example. In this way the AR interface will become an important source of data.

As these examples demonstrate, every industry has the potential to reap the benefits from IoT. Yet it’s up to executives to recognize the potential of these technologies and determine how best to leverage them within their companies and respective industries. Those who do will certainly reap the rewards.

After GDW implementation, it helps company to gain below benefits:

Manufacturing. In manufacturing, processes are often complex, requiring hundreds or even thousands of steps, and mistakes are costly. As we’ve learned, AR can deliver just the right information the moment it’s needed to factory workers on assembly lines, reducing errors, enhancing efficiency, and improving productivity.

注:本文来源**FORBES INSIGHTS,编译/黄玉叶,编辑/余瑞琦,转发请表明译者和来源欲通晓越来越多大数量丨区块链丨人工智能行当相关音信丨干货丨报告等,可寻觅数据观微教徒人号(ID:cbdioreview)步向查看。**归来微博,查看更加多

• The tool is intuitive and easy to use. It provides real-time, actionable information, enabling faster, better decision making.

In factories, AR can also capture information from automation and control systems, secondary sensors, and asset management systems and make visible important monitoring and diagnostic data about each machine or process. Seeing information such as efficiency and defect rates in context helps maintenance technicians understand problems and prompts factory workers to do proactive maintenance that may prevent costly downtime. Iconics, which specializes in automation software for factories and buildings, has begun to integrate AR into its products’ user interfaces. By attaching relevant information to the physical location where it will be best observed and understood, the AR interfaces enable more-efficient monitoring of machines and processes.

网编:

• Enable self-service reporting and analysis. It will involve business team to participate in dashboard design, facilitate the perception of elevated service while doing it yourself.

Logistics. Warehouse operations are estimated to account for about 20% of all logistics costs, while picking items from shelves represents up to 5% of warehouse costs. In most warehouses, workers still perform this task by consulting a paper list of things to collect and then searching for them. This method is slow and error-prone.

• Enable advanced analytics capabilities by data drilldown and visualization.

The logistics giant DHL and a growing number of other companies are using AR to enhance the efficiency and accuracy of the picking process. AR instructions direct workers to the location of each product to be pulled and then suggest the best route to the next product. At DHL this approach has led to fewer errors, more-engaged workers, and productivity gains of 25%. The company is now rolling out AR-guided picking globally and testing how AR can enhance other types of warehouse operations, such as optimizing the position of goods and machines in layouts. Intel is also using AR in warehouses and has achieved a 29% reduction in picking time, with error rates falling to near zero. And the AR application is allowing new Intel workers to immediately achieve picking speeds 15% faster than those of workers who’ve had only traditional training.

• Simplify and streamline development of dashboards, reports, and analytics. It provides forward-looking, predictive insights.

Marketing and sales. AR is redefining the concept of showrooms and product demonstrations and transforming the customer experience. When customers can see virtually how products will look or function in a real setting before buying them, they have more-accurate expectations, more confidence about their purchase decisions, and greater product satisfaction. Down the road, AR may even reduce the need for brick-and-mortar stores and showrooms altogether. When products can be configured with different features and options—which can make them difficult and costly to stock—AR is a particularly valuable marketing tool.

• Enable rapid integration of acquisition data

The construction products company AZEK, for instance, uses AR to show contractors and consumers how its decking and paver products look in various colors and arrangements. Customers can also see the simulations in context: If you look at a house through a phone or a tablet, the AR app can add a deck onto it. The experience reduces any uncertainty customers might feel about their choices and shortens the sales cycle.

• Enable business unit integration data into business segment consolidated reporting.

In e-commerce, AR applications are allowing online shoppers to download holograms of products. Wayfair and IKEA both offer libraries with thousands of 3-D product images and apps that integrate them into a view of an actual room, enabling customers to see how furniture and decor will look in their homes. IKEA also uses its app to collect important data about product preferences in different regions.

• Enable commercial finance and operation finance employees to focus on analysis and business partnering activities

After-sales service. This is a function where AR shows huge potential to unlock the value-creating capabilities of SCPs. AR assists technicians serving customers in the field in much the same way it helps workers in factories: by showing predictive analytics data generated by the product, visually guiding them through repairs in real time, and connecting them with remote experts who can help optimize procedures. For example, an AR dashboard might reveal to a field technician that a specific machine part will most likely fail within a month, allowing the tech to preempt a problem for the customer by replacing it now. At KPN, a European telecommunications service provider, field engineers conducting remote or on-site repairs use AR smart glasses to see a product’s service-history data, diagnostics, and location-based information dashboards. These AR displays help them make better decisions about demand through AR. AR allows instruction to be tailored to a particular worker’s experience or to reflect the prevalence of particular errors. For example, if someone repeatedly makes the same kind of mistake, he can be required to use AR support until his work quality improves. At some companies, AR has reduced the training time for new employees in certain kinds of work to nearly zero and lowered the skill requirements for new hires. This is especially advantageous for the package delivery company DHL, which faces surges in demand during peak seasons and is heavily dependent on the effective hiring and training of temporary workers. By providing real-time training and hands-on guidance on navigating warehouses and properly packing and sorting materials, AR has reduced how to resolve issues, producing an 11% reduction in overall costs for service teams, a 17% decrease in work-error rates, and higher repair quality.

Refer to below chart for the Changes from Global Data Warehouse Initiative.

 Xerox used AR to connect field engineers with experts instead of providing service manuals and telephone support. First-time fix rates increased by 67%, and the engineers’ efficiency jumped by 20%. Meanwhile, the average time it took to resolve problems dropped by two hours, so staffing needs fell. Now Xerox is using AR to connect remote technical experts directly with customers. This has increased by 76% the rate at which technical problems are resolved by customers without any on-site help, cutting travel costs for Xerox and minimizing downtime for customers. Perhaps not surprisingly, Xerox has seen its customer satisfaction rates rise to 95%.

Once Global Data Warehouse project 100% implementation, finance will change from current state to focus on “what happened” and “why” to future state to focus on “what will happen” and “what should we do”. That is great changes on business analytics transformation.

Human resources. Early AR adopters like DHL, the U.S. Navy, and Boeing have already discovered the power of delivering step-by-step visual worker training on DHL’s need for traditional instructors and increased the onboarding speed for new employees.

Conclusions

AR AND STRATEGY

It may spend millions of dollars and it may suffer a lot of pain points during the transformation. But from the long run, it is worthy of it. Analytics is changing the way we do business.

AR will have a widespread impact on how companies compete. As we’ve explained in our previous HBR articles, SCPs are changing the structure of almost all industries as well as the nature of competition within them—often expanding industry boundaries in the process. SCPs give rise to new strategic choices for manufacturers, ranging from what functionality to pursue and how to manage data rights and security, to whether to expand a company’s scope of products and compete in smart systems. The increasing penetration of AR, along with its power as the human interface with SCP technologies, raises some new strategic questions. While the answers will reflect each company’s business and unique circumstances, AR will become more and more integral to every firm’s strategy.

In the Big Data Era, in order to survive and achieve sustainable growth, the company needs to keep evolving to become even more global, more of a software company, and more nimble in a new era. In the meanwhile, as commercial finance, embracing analytics culture, we need to recognize data as an asset, link analysis to value and link analysis to action. We need to think about analytics all the time to ensure we are on the right track and taking the right approach on:

Here are the essential questions companies face:

• Improving revenue growth, margin expansion, and free cash flow efficiency.

  1. What is the range of AR opportunities in the industry, and in what sequence should they be pursued? Companies must weigh AR’s potential impact on customers, product capabilities, and the value chain.

  2. How will AR reinforce a company’s product differentiation? AR opens up multiple differentiation paths. It can create companion experiences that expand the capabilities of products, give customers more information, and increase product loyalty. AR interfaces that enhance products’ functionality or ease of use can be big differentiators, as can those that substantially improve product support, service, and uptime. And AR’s capacity to provide new kinds of feedback on how customers use products can help companies uncover further opportunities for product differentiation. The right differentiation path will depend on a company’s existing strategy; what competitors are doing; and the pace of technology advances, especially in hardware.

  3. Where will AR have the greatest impact on cost reduction? AR enables new efficiencies that every firm must explore.As we’ve noted, it can significantly lower the cost of training, service, assembly, design, and other parts of the value chain. It can also substantially cut manufacturing costs by reducing the need for physical interfaces. Each company will need to prioritize AR-driven cost-reduction efforts in a way that’s consistent with its strategic positioning. Firms with sophisticated products will need to capitalize on AR’s superior and low-cost interface, while many commodity producers will focus on operational efficiencies across the value chain. In consumer industries and retail, marketing-related visualize applications are the most likely starting point. In manufacturing, instruct applications are achieving the most immediate payoff by addressing inefficiencies in engineering, production, and service. And AR’s interact capability, though still emerging, will be important across all industries with products that have customization and complex control capabilities.

• Improving pricing decision

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• Improving integrated supply chain productivity

  1. Should the company make AR design and deployment a core strength, or will outsourcing or partnering be sufficient? Many firms are scrambling to access the digital talent needed for AR development, which is in short supply. One skill in great demand is user experience or user interface (UX/UI) design. It’s critical to present 3-D digital information in ways that make it easy to absorb and act on; companies want to avoid making a stunning but unhelpful AR experience that defeats its core purpose. Effective AR experiences also require the right content, so people who know how to create and manage it—another novel skill—are crucial too. Digital modeling capabilities and knowledge of how to apply them in AR applications are key as well. Over time we expect companies to create teams dedicated to AR, just as they set up such teams to build and run websites in the 1990s and 2000s. Dedicated teams will be needed to establish the infrastructure that will allow this new medium to flourish and to develop and maintain the AR content. Many firms have started to build AR skills in-house, but few have mastered them yet. Whether to hire and train AR employees or partner with specialty software and services companies is an open question for many. Some companies have no choice but to treat AR talent as a strategic asset and invest in acquiring and developing it, given AR’s potentially large impact on competition in their business. However, if AR is important but not essential to competitive advantage, firms can partner with specialty software and services companies to leverage outside talent and technology.

Last but not least, I like the word “Data is the new oil and analytics are the new refinery”. It was quoted by many people recently although I don’t know where is the original. As long as you are a finance leader with wisdom, I trust big data era bring you more opportunities rather than challenges. Robots do the simple work and release us to do high value-added jobs.

The challenges, time, and cost involved in building the full set of AR technologies we have described are significant, and specialization always emerges in each component. In the early stages of AR, the number of technology and service suppliers has been limited, and companies have built internal capabilities. However, best-ofbreed AR vendors with turnkey solutions are starting to appear, and it will become increasingly difficult for in-house efforts to keep up with them.

Endnote:

  1. How will AR change communications with stakeholders? AR complements existing print and 2-D digital communication approaches and in some cases can replace them altogether. Yet we see AR as much more than just another communication channel. It is a fundamentally new means of engaging with people. Just consider the novel way it helps people absorb and act on information and instructions. The web, which began as a way to share technical reports, ultimately transformed business, education, and social interaction. We expect that AR will do the same thing for communication—changing it in ways far beyond what we can envision today. Companies will need to think creatively about how they can use this nascent channel.

"Internet of Things Global Standards Initiative". ITU. Retrieved 26 June 2015.

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DEPLOYING AR

Note: Original. Welcome to repost but please give sources if citing another article or passage.

AR applications are already being piloted and deployed in products and across the value chain, and their number and breadth will only grow. Every company needs an implementation road map that lays out how the organization will start to capture the benefits of AR in its business while building the capabilities needed to expand its use. When determining the sequence and pace of adoption, companies must consider both the technical challenges and the organizational skills involved, which vary from context to context. Specifically, organizations need to address five key questions:

  1. Which development capabilities will be required? Some AR experiences involve more complexity than others.Experiences that allow people to visualize products in different configurations or settings—like those created by IKEA, Wayfair, and AZEK—are a relatively easy place for companies to start. Consumers just need to be encouraged to download and launch AR apps, and only a mobile device is needed to use them.

Instruction applications, like the ones Boeing and GE employ in manufacturing, are more difficult to build and use. They require the capacity to develop and maintain dynamic 3-D digital content and often benefit greatly from the use of headmounted displays or smart glasses, which are still in the early stages of development. Apps that produce interactive experiences, which create significant value for both consumers and businesses, are the most challenging to develop. They also involve less-mature technology, such as voice or gesture recognition, and the need to integrate with software that controls SCPs. Most companies will start with static visualizations of 3-D models, but they should build the capability to move quickly into dynamic instructional experiences that have greater strategic impact.

  1. How should organizations create digital content? Every AR experience, from the least to the most sophisticated, requires content. In some cases it’s possible to repurpose existing digital content, such as product designs. Over time, however, more-complex, dynamic contextual experiences must be built from scratch, which requires specialized expertise. Simple applications, such as an ARenhanced furniture catalog, may need only basic product representations. More-sophisticated business instruction applications, however, such as those used for machine repair, will require accurate and highly detailed digital product representations. Companies can create these by adapting CAD models used in product development or by using digitization techniques such as 3-D scanning. The most sophisticated AR experiences also need to tap real-time data streams from enterprise business systems, SCPs, or external data sources and integrate them into the content. To prepare for broadening the AR portfolio, companies should take an inventory of existing 3-D digital assets in CAD and elsewhere and invest in digital modeling capabilities.

  2. How will AR applications recognize the physical environment? To accurately superimpose digital information on the physical world, AR technologies must recognize what they’re looking at. The simplest approach is to determine the location of the AR device using, say, GPS and show relevant information for that location without anchoring it to a specific object. This is known as an “unregistered” AR experience. Vehicle heads-up navigation displays typically work this way. Higher-value “registered” experiences anchor information to specific objects. They can do this through markers, such as bar codes, logos, or labels, which are placed on the objects and scanned by the user with an AR device. A more powerful approach, however, uses technology that recognizes objects by comparing their shape to a catalog of 3-D models. This allows a maintenance technician, for example, to instantly recognize and interact with any type of equipment he or she is responsible  for maintaining and to do so from any angle. While markers are a good starting point, shape-recognition technologies are advancing quickly, and organizations will need the capability to use them to tap into many of the highest-value AR applications.

  3. What AR hardware is required? AR experiences aimed at broad consumer audiences have typically been designed for smartphones, taking advantage of their simplicity and ubiquity. For moresophisticated experiences, companies use tablets, which offer larger screens, better graphics, and greater processing power. Since tablet penetration is lower, companies will often provide them to users. For certain high-value applications—notably those in aircraft and automobiles—manufacturers are building dedicated AR heads-up displays into their products—a costly approach.

Eventually, however, most AR applications for service, manufacturing, and even product interfaces will require head-mounted displays that free users’hands. This technology is currently both immature and expensive, but we expect that affordable smart glasses will become widely available in the next few years and will play a major part in releasing AR’s full power. Microsoft, Google, and Apple now offer AR technologies optimized for their own devices. However, most organizations should take a cross-platform approach that allows AR experiences to be deployed across multiple brands of phones and tablets and should make sure they’re ready for smart glasses when they arrive.

  1. Should you use a softwaredevelopment or a content-publishing model? Many early AR experiences have been delivered through stand-alone software applications that are downloaded, complete with digital content, to a phone or a tablet. This approach creates reliable, high-resolution experiences and allows organizations to make apps that don’t require internet connectivity. The problem with this model is that any change to the AR experience requires software developers to rewrite the app, which can create expensive bottlenecks.

An emerging alternative uses commercial AR-publishing software to create AR content and host it in the cloud. The AR experience can then be downloaded on demand using a general-purpose app running on an AR device. Like website content, the AR content can be updated or supplemented without changing the software itself—an important benefit when large amounts of information and frequent content changes are involved.The content-publishing model will become common as more and more machines and products include real-time AR interaction and control. A content-publishing capability is essential to scaling AR up across the organization.

THE BROADER IMPACT

The digital revolution, with its SCPs and explosion of data, is unleashing productivity and unlocking value across the economy. Increasingly, the constraint is not a lack of data and knowledge but how to assimilate and act on them—in other words, the interface with humans. AR is emerging as a leading solution to this challenge.

At the same time, the rapid evolution of machine learning and automation is raising serious concerns about human opportunity. Will there be enough jobs for everyone, especially for people without advanced education and knowledge? In a world of artificial intelligence and robots, will humans become obsolete?

It is easy to conclude that new technology diminishes human opportunity. Yet new inventions have been replacing human labor for centuries, and they have led to growth in employment, not a decline. Technology has dramatically increased our productivity and our standard of living It has given rise to new kinds of offerings that meet new needs and require new types of workers. Many of today’s jobs involve products and services that did not even exist a hundred years ago. A lesson of history is that today’s digital revolution will generate new waves of innovation and new kinds of work that we cannot yet imagine.

The role of humans in this future is misunderstood. People have unique strengths that machines and algorithms will not replicate anytime soon. We have sophisticated motor skills—well beyond what robots are capable of today—that allow us to do the subtle manipulation that’s needed in, say, replacing a machine part or wiring a turbine. Even relatively less skilled work, such as drawing blood, pruning a garden, or repairing a flat tire, requires human dexterity and defies automation. Human cognition adapts instantaneously to novel situations; people easily adjust the way they interpret information, solve problems, exercise judgment, and take action to suit their circumstances. Humans have flexibility, imagination, intuition, and creative ability that for the foreseeable future are beyond the reach of any machine.

While the advances in artificial intelligence and robotics are impressive, we believe that combining the capabilities of machines with humans’ distinctive strengths will lead to far greater productivity and more value creation than either could generate alone. What’s needed to realize this opportunity is a powerful human interface that bridges the gap between the digital and physical worlds. We see AR as a historic innovation that provides this. It helps humans enhance their own capabilities by taking full advantage of new digital knowledge and machine capabilities. It will profoundly change training and skill development, allowing people to perform sophisticated work without protracted and expensive conventional instruction—a model that is inaccessible to so many today. AR, then, enables people to better tap into the digital revolution and all it has to offer.

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