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.
Keep reading to find out more about how executives in communications, energy, financial services, healthcare, manufacturing, retail and transportation are leveraging IoT.
多数组织对此力所不比。事实上，依据Forester数据，唯有5%的的同盟社声称他们早已炉火纯青应用数字化转型取得了竞争性差别，对创设型集团的话这一挑衅更是严厉。从研究开发到营造到物流，都能看出运维工作在被数字化科技(science and technology)转移。
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.
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 challenge is especially acute for manufacturers. From innovation to production to logistics, manufacturers are seeing their operations revolutionized by digital technologies.
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.
That starts with research and development. Here are four key ways digitalization is transforming R&D:
科技(science and technology)给予客商越来越多自由。方今客户已经具备及时和安静的音讯，富含产品、品质和价格 – 无论是你依旧你的竞争对手。过去，尽管您曾经是有个别圈子的官员，竞争者处于劣点。今天，客户们知道您是何许在世界范围和对手们竞技的，你过去的商海领导者地位变得非亲非故主要。
How IoT Is Impacting 7 Key Industries Today
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%).
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.
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.
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.
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.
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.
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.
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%).
附克罗地亚共和国（Republic of Croatia）语原作如下