By now, you all must have started speculating about our future and what comes next to disrupt our existing businesses and society in general. We can safely argue that change is constant and we need to be flexible to embrace change and adopt new innovations rapidly that enable business agility. The past decade has been extremely disruptive as a result of the five major information technologies which we have labeled as the Force 5 Tornado as discussed in detail in previous chapters. These trends evolved almost at the same time, and now the convergence of these technologies is maturing and going past the hype curve to offer greater values in business transformation. We have witnessed these innovations and the game-changing revolution in the past few years impacting our businesses and economy, leaving many wondering what will come next and what the environment will look like by 2020. The cloud, social, mobile, video, and big data (discussed in previous chapters) will keep innovating and bringing new business solutions in the next few years. Gartner analysts forecast that the personal cloud will begin a new era that will provide users with a new level of flexibility with the devices they use for daily activities. While leveraging the strengths of each device, this will ultimately offer new levels of user satisfaction and productivity. However, businesses are at the crossroads, and they need to rethink the usage and deployment of these technologies rapidly and favorably to their advantage.
According to Gartner, private cloud computing has reached the peak level of hype, and cloud/web platforms are slipping into the “trough of disillusionment” in the face of platform as a service (PaaS). Gartner tracks technologies through a life cycle that begins with a technology trigger through the plateau of productivity.
According to Gartner, a technology that is in the trough of disillusionment is still sparsely adopted—less than 5 percent of the audience has fully adopted a technology at that point. Once 20 percent to 30 percent of the audience has adopted a technology, Gartner considers it at the plateau of productivity.
“Major trends in client computing have shifted the market away from a focus on personal computers to a broader device perspective that includes smartphones, tablets, and other consumer devices,” says Steve Kleynhans, research vice president at Gartner. “Emerging cloud services will become the glue that connects the web of devices that users choose to access during the different aspects of their daily life.” The reign of the personal computer as the sole corporate access device is coming to a close, and by 2014, the personal cloud is replacing the personal computer at the center of users' digital lives. Many call this era the post-PC era, a new style of personal computing that frees individuals to use computing in fundamentally new ways to improve multiple aspects of their work and personal lives.”
Clearly there has been a disruption in the technology diffusion cycle, which traditionally follows the five-stage pattern of development:
The combination of the bring your own device (BYOD) phenomenon and best practices of aligning customer-centric strategies executed using customer-focused processes that interact with customer-facing apps has accelerated technology adoption. Social culture facilitated by social media has promoted social business expectations and digital customer experiences. The result is a hardware–software–social culture loop that shortcuts business process and culture stages. This produces faster tech diffusion within the business ecosystem.
There are several other driving forces in conjunction with the Force 5 Tornado technologies that are disrupting conventional business models to create this new era. Recall how the Force 5 Tornado convergence works in terms of the data model shown in Chapter 2. It is a picture of business ecosystem synergy where value is delivered as customer experience at a series of touch points along the customer decision journey, such as the travel life cycle model. It is delivered in real time, based on customers' personalized digital relationships, anywhere and anytime.
The Internet of Things (IoT) is a game changer for the upcoming decade when parlayed with big data analytics creating a “silicon crystal ball” that will form the core of decision process reengineering (DPR). Digital businesses, with innovation as a goal and collaboration as a culture, will outperform competitors. The virtual enterprises formed in the business ecosystem will be stronger and more agile as a result of ecosystem-wide DPR initiatives that optimize the customer decision journey. This enables a sustainable competitive advantage for all partner businesses and their collaborative enterprises, as well as the ecosystem as a whole. By the year 2020 Ecosystemism as a cultural imperative will grow. This integrated c-commerce strategy will have gained traction by creating examples of the business agility that market leaders will deploy as a mainstream business model.
Gartner foresees the consumerization of information technology (IT) as having a major impact across various aspects of the corporate IT world. Large enterprises will have to rethink the way they procure and manage IT equipment and services. Provision of computing devices, applications, and services with businesses was controlled by a central department in the very recent past, but with consumerization today, employees are becoming increasing self-sufficient in meeting their IT needs. Products have become easier to use, and cloud-based software-as-a-service (SaaS) offerings are addressing an ever-widening range of business needs in areas such as videoconferencing, digital imaging, business collaboration, sales force support, systems backup, back-office operations, financial, payroll, human resources (HR), supply chain, business analytics applications, and many more.
Businesses have to be flexible in bring your own device (BYOD) strategies, where individual employees can choose and often own the computers and/or smart devices (phones and tablets) they use at work. The Apple iPhone and iPad and other smart devices were designed for individual consumers, but their appeal and usage in the workplace has gone far beyond what was imagined. These devices have created a revolution, and we will see many innovative usages and applications in the near future.
Businesses have increasingly adopted consumerized services such as search, mapping, and social media. The capabilities of firms such as Google, Facebook, and Twitter are now essential components of many firms' marketing strategies. One of the more serious negative implications of consumerization is that security controls have been slower to be adopted in the consumer space, and as a result one of the implications of consumerization is an increased risk to the information assets accessed through less trustworthy consumerized devices. However, this shortcoming may soon be remedied by the chip manufacturers with technologies such as Intel's Trusted Execution Technology and the ARM (Advanced RISC Machines) TrustZone; these technologies are being designed to increase the trustworthiness of both enterprise and consumer devices. However, much of this has simply been a precursor to the major wave that is starting to take hold across all aspects of information technology as several key factors come together:
The Internet of Things (IoT) refers to uniquely identifiable objects and their virtual representations in an Internet-like structure. In our business environment, more objects are becoming embedded with sensors and gaining the ability to communicate. The resulting information networks promise to create new business models, improve business processes, and reduce costs and risks.
According to McKinsey & Company, in most organizations, information management has a more or less consistent life cycle. Proprietary information is lodged in databases and analyzed in reports, and then rises up the management chain. Information also originates externally, gathered from public sources, harvested from the Internet, or purchased from information suppliers. But the predictable pathways of information are changing. The physical world itself is becoming a type of information system. In the IoT, sensors and actuators embedded in physical objects—from roadways to pacemakers—are linked through wired and wireless networks, often using the same Internet protocol (IP) that connects the Internet. These networks churn out huge volumes of data that flow to computers for analysis. When objects can both sense the environment and communicate, they become tools for understanding complexity and responding to it swiftly. What is revolutionary in all this is that these physical information systems are now beginning to be deployed, and some of them even work largely without human intervention.
Pill-shaped micro cameras already traverse the human digestive tract and send back thousands of images to pinpoint sources of illness. Precision farming equipment with wireless links to data collected from remote satellites and ground sensors can take into account crop conditions and adjust the way each individual part of a field is farmed—for instance, by spreading extra fertilizer on areas that need more nutrients. Billboards in Japan peer back at passersby, assessing how they fit consumer profiles, and instantly change displayed messages based on those assessments. Manufacturing processes studded with a multitude of sensors can be controlled more precisely, raising efficiency. And when operating environments are monitored continuously for hazards or when objects can take corrective action to avoid damage, risks and costs diminish. Companies that take advantage of these capabilities stand to gain against competitors that don't.
The widespread adoption of the Internet of Things will take time, but the time line is advancing thanks to improvements in underlying technologies. Advances in wireless networking technology and the greater standardization of communications protocols make it possible to collect data from these sensors almost anywhere at any time. Ever-smaller silicon chips for this purpose are gaining new capabilities, while costs, following the pattern of Moore's law, are falling. Massive increases in storage and computing power, some of it available via cloud computing, make number crunching possible at a very large scale and at declining cost.
The Internet of Things has great promise, yet business, policy, and technical challenges must be tackled before these systems are widely embraced. Early adopters will need to prove that the new sensor-driven business models create superior value. Industry groups and government regulators should study rules on data privacy and data security, particularly for uses that touch on sensitive consumer information. Legal liability frameworks for the bad decisions of automated systems will have to be established by governments, companies, and risk analysts, in consort with insurers. On the technology side, the cost of sensors and actuators must fall to levels that will spark widespread use. Networking technologies and the standards that support them must evolve to the point where data can flow freely among sensors, computers, and actuators. Software to aggregate and analyze data, as well as graphic display techniques, must improve to the point where huge volumes of data can be absorbed by human decision makers or synthesized to guide automated systems more appropriately.
Within companies, big changes in information patterns will have implications for organizational structures, as well as for the way decisions are made, operations are managed, and processes are conceived. Product development, for example, will need to reflect far greater possibilities for capturing and analyzing information.
Companies can begin taking steps now to position themselves for these changes by using the new technologies to optimize business processes in which traditional approaches have not brought satisfactory returns. Energy consumption efficiency and process optimization are good early targets. Experiments with the emerging technologies should be conducted in development labs and in small-scale pilot trials, and established companies can seek partnerships with innovative technology suppliers creating Internet of Things capabilities for target industries.
The explosion of mobile devices and rapid growth in the Internet of Things is driving transformation of the network infrastructure to meet increasing demand for more connectivity and real-time data. Intel is enabling this transformation by delivering standardized hardware and software that apply open standards and high-volume economics to help reduce costs, while accelerating the delivery of new services, capabilities, and revenue models for service providers.
The world is on the threshold of a new era of innovation and change with the rise of the industrial Internet. It is taking place through the convergence of the global industrial system with the power of advanced computing, analytics, low-cost sensing, and new levels of connectivity permitted by the Internet. The deeper meshing of the digital world with the world of machines holds the potential to bring about profound transformation to global industry, and in turn to many aspects of daily life, including the way many of us do our jobs. These innovations promise to bring greater speed and efficiency to industries as diverse as aviation, rail transportation, power generation, oil and gas development, and health care delivery. It holds the promise of stronger economic growth, better and more jobs, and rising living standards, whether in the United States or in China, in a megacity in Africa, or in a rural area in Kazakhstan.
With better health outcomes at lower cost, substantial savings in fuel and energy, and better-performing and longer-lived physical assets, the industrial Internet will deliver new efficiency gains, accelerating productivity growth the way that the industrial revolution and the Internet revolution did. And increased productivity means faster improvement in income and living standards. In the United States, if the industrial Internet could boost annual productivity growth by 1 to 1.5 percentage points, bringing it back to its Internet revolution peaks, then over the next 20 years through the power of compounding it could raise average incomes by an impressive 25 to 40 percent of today's level over and above the current trend. And as innovation spreads globally, if the rest of the world could secure half of the U.S. productivity gains, the industrial Internet could add to global gross domestic product (GDP) a sizable $10 trillion to $15 trillion—the size of today's U.S. economy—over the same horizon. In today's challenging economic environment, securing even part of these productivity gains could bring great benefits at both the individual level and economy-wide.
Wireless transmission of electricity has been a dream for nearly a century, dating back to Nikola Tesla's vision of a wireless world energy grid. Although Tesla's visions never materialized, recent technology innovations have demonstrated the feasibility of efficiently powering devices wirelessly. This chapter offers a technology foresight brief that explores the state of wireless power technology and its future potential.
The analog controls that accompanied the rise of the personal computer (buttons, switches, keyboard, joystick, and mouse) allowed consumers to interact with their devices in a variety of ways. But as personal computing devices have grown smaller, smarter, and more mobile, and as they are used for a wider variety of applications, new needs are arising. This brief explores the state of interface technology, emerging tools and applications, and the directions in which interfaces may move.
Today, the Internet of Everything (IoE)—the ongoing explosion in networked connectivity among people, process, data, and things—is Cisco's IoT vision for transforming manufacturing in startling ways, just as it is changing so many other industries.
IoE delivers seamless, intelligent connections to every corner of the manufacturing value chain, optimizing the flow of products, information, and payments in real time.
IoE is driving connections beyond just data. The convergence of connecting people, things, data, and processes is transforming organizations, industries, and our lives. The growth of mobility and cloud computing is further driving innovation and an increase in the number and kinds of connections.
The broad-based adoption of information technology (IT)—and, in particular, the advent of cloud-based capabilities—has leveled the playing field for firms around the world. Market incumbents are increasingly pressured by disruptive innovators and nontraditional rivals bent on attacking revenue franchises and gaining market share through the innovative application of technology.
In nearly all industries, an accelerating innovation curve, in which market discontinuities arising from video, social, mobile, and cloud-based capabilities unlock new competitive dynamics, is reshaping the business landscape. In this environment, barriers to market entry are falling, customers are demanding new ways of interacting, and margins are compressing. In a world characterized by technology-driven parity and fleeting competitive advantages, many business leaders are asking, “Where will the next wave of value come from for our company?”
In February 2013, Cisco Systems released a study (www.cisco.com/web/about/ac79/docs/innov/IoE_Economy.pdf) predicting that $14.4 trillion of value (net profit) will be at stake globally over the next decade, driven by connecting the unconnected—people-to-people (P2P), machine-to-people (M2P), and machine-to-machine (M2M)—via the Internet of Everything (IoE).
Cisco defines the Internet of Everything as the networked connection of people, processes, data, and things. The benefit of IoE is derived from the compound impact of connecting people, processes, data, and things, and from the value this increased connectedness creates as everything comes online. In this respect, IoE provides a clear answer to the question of future sources of value.
The $14.4 trillion in IoE value at stake—the potential bottom-line value that can be created, or that will migrate among private-sector companies and industries based on their ability to harness IoE over the next decade—is being driven by five key areas:
Since everything is connected, a list of networked devices is beyond the scope of this book. Even delineating all the possible categories would be a daunting ontological task. So the following examples represent our presentation of notable “Things” that we have observed from our information technology outpost located here in Silicon Valley: wearables such as Google Glass, self-driving cars, smart homes, and bionics in health care.
Smart devices have already created a habitual practice to reach frequently for accessing e-mails, to browse the web for social networks, or to conduct an Internet search for some information. Very soon we will have another option, a pair of Google-made glasses that are able to stream information to the wearer's eyeballs in real time. Sources from Google reveal that Google Glass is Android-based, and includes a small screen fitted in eyeglass frames. It also has a 3G or 4G data connection and a number of sensors, including motion and GPS. Glass has a low-resolution built-in camera that is able to monitor the world in real time and overlay information about locations, surrounding buildings, and friends who might be nearby, according to the Google employees. Google Glass is not designed to be worn constantly but will be more like a smartphone, used when needed. Glass will send data to the cloud and then use things like Google Latitude to share location.
Google has made the autonomous vehicle a reality that we may have seen only in a science-fiction movie. Google's self-driving car initiative is moving into a new phase of reality. Three years after first showing the world what it was up to—rolling out a Toyota Prius with laser scanning hardware placed on its roof—Google is moving its big idea out of the lab and into the real world. Its autonomous cars have already driven half a million miles on California roads without a single accident and will soon transform transportation in cities all over the world.
Google talks about making the roads safer, but the company's core business has plenty to gain from freeing up drivers from that task of, well, driving. Americans on average spend 18.5 hours a week in a car, which adds up to a lot of time they could be checking Gmail, editing Google Docs, watching YouTube videos, and clicking ads.
Motivation aside, a big change is under way, and it requires us to start thinking of cars very differently. Vehicles that drive themselves are good example of what happens when cars transform into full-scale, general-purpose computing systems. Self-driving and connected cars will bristle with sensors, negotiate with traffic lights, talk to each other about safety conditions, join into trainlike platoons, and become members of intelligent urban transit networks. Historically, the car industry has focused on passive safety items like seat belts and air bags. With the arrival of active safety technology that lets vehicles take preemptive action, cars will use data to help them decide what to do when drivers aren't paying attention or don't know what to do.
Utilities run big, expensive, and complicated systems to generate power. Each grid now includes sophisticated sensors that monitor voltage, current, frequency, and other important operating characteristics. Efficiency now means paying careful attention to all of the data streaming off the sensors. Utilities are now leveraging big data/Hadoop clusters to analyze generation (supply) and consumption (demand) data via smart meters. The rollout of smart meters as part of the smart grid adoption by utilities everywhere has resulted in a deluge of data flowing at unprecedented levels and predictive analytics to help reduce costs at all levels. We foresee greater innovation in this area, with utilities smart meters using powerful predictive consumer behavior analysis and based on a big data model captured by these devices.
One step ahead of Google Glass, we foresee the innovation and research toward bionics that will offer wearable bionic contact lenses. This technology could allow wearers to read floating texts and e-mails or augment their sight with computer-generated images. Early tests show the device is safe and feasible, say researchers at the University of Washington in Seattle. Currently, the crude prototype device can work only if it is within centimeters of the wireless battery.
But now that initial safety tests in rabbits have gone well, with no obvious adverse effects, the researchers have renewed faith about the device's possibilities. They envisage that hundreds more pixels could be embedded in the flexible lens to produce complex holographic images. For example, drivers could wear them to see journey directions or their vehicle's speed projected onto the windscreen. Similarly, the lenses could take the virtual world of video gaming to a new level. They could also provide up-to-date medical information like blood sugar levels by linking to biosensors in the wearer's body.
A Swiss company called Sensimed has already brought to market a smart contact lens that uses built-in computer technology to monitor pressure inside the eye to keep tabs on the eye condition glaucoma.
There are many possible uses for virtual displays. Video-game companies could use the contact lenses to completely immerse players in a virtual world without restricting their range of motion. And for communications, people on the go could surf the Internet on a midair virtual display screen that only they would be able to see. “People may find all sorts of applications for it that we have not thought about. Our goal is to demonstrate the basic technology and make sure it works and that it's safe,” says Babak Parviz, who heads a multidisciplinary University of Washington group that is developing electronics for contact lenses.
Ideally, installing or removing the bionic contact lens would be as easy as popping a regular contact lens in or out, and once installed the wearer would barely know the gadget was there, Parviz says. Building the lenses was a challenge because materials that are safe for use in the body, such as the flexible organic materials used in contact lenses, are delicate. Manufacturing electrical circuits, however, involves inorganic materials, scorching temperatures, and toxic chemicals. Researchers built the circuits from layers of metal only a few nanometers thick, about one-thousandth the width of a human hair, and constructed light-emitting diodes one-third of a millimeter across. They then sprinkled the grayish powder of electrical components onto a sheet of flexible plastic. The shape of each tiny component dictates which piece it can attach to, a microfabrication technique known as self-assembly. The prototype contact lens does not correct the wearer's vision, but the technique could be used on a corrective lens, Parviz says. And all the gadgetry won't obstruct a person's view.
“There is a large area outside of the transparent part of the eye that we can use for placing instrumentation,” Parviz says. Future improvements will add wireless communication to and from the lens. The researchers hope to power the whole system using a combination of radio-frequency power and solar cells placed on the lens.
The Force 5 Tornado will continue to power business transformation and increasingly become an integral fabric of our lives. Convergence yielding big data analytics will embed intelligence into that technological weave by creating a network of intelligent business ecosystems to enable us to live and work in a smart environment, the Internet of Things.
Imagine what the world would be like if computers were so small, so powerful, and so cheap that they could be built into everything and interconnected to share data all around the world. Well, look around; the precursors of IoT are already in place. Marketing 2020 is envisioned by McKinsey & Company in “The Coming Era of ‘On-Demand’ Marketing” by Peter Dahlström and David Edelman (McKinsey Quarterly, April 2013):
Digital marketing is about to enter more challenging territory. Building on the vast increase in consumer power brought on by the digital age, marketing is headed toward being on demand—not just always “on,” but also always relevant, responsive to the consumer's desire for marketing that cuts through the noise with pinpoint delivery.
What's fueling on-demand marketing is the continued, symbiotic evolution of technology and consumer expectations. Already, search technologies have made product information ubiquitous; social media encourages consumers to share, compare, and rate experiences; and mobile devices add a “wherever” dimension to the digital environment. Executives encounter this empowerment daily when, for example, cable customers push for video programming on any device at any time or travelers expect a few taps on a smartphone app to deliver a full complement of airline services.
Going forward to the year 2020 and beyond, we will see the digital business model as the mainstream means to deliver customer experience as an integrated relationship management practice across the physical and digital touchpoints in the business ecosystem. The Force 5 Tornado technologies using IoT enable devices, such as near-field communication (NFC) chips, will create an information rich environment. McKinsey envisions that these innovations coupled with ubiquitous global mobility, HTML5 web interactive workspaces, and advanced big data handling engines will transform customer experience:
Consumers may soon be able to search by image, voice, and gesture; automatically participate with others by taking pictures or making transactions; and discover new opportunities with devices that augment reality in their field of vision (think Google Glass).
As these digital capabilities multiply, consumer demands will rise in four areas:
- Now. Consumers will want to interact anywhere and at any time.
- Can I? They will want to do truly new things as disparate kinds of information (from financial accounts to data on physical activity) are deployed more effectively in ways that create value for them.
- For me. They will expect all data stored about them to be targeted precisely to their needs or used to personalize what they experience.
- Simply. They will expect all interactions to be easy.
This is the new world and its implications for leaders across the virtual enterprise. One thing is clear: The consumer's experiences with brands and categories are set to become even more intense and defining. To mobilize for the on-demand challenges ahead, digital businesses must:
After writing this far, we realize that we are extremely vulnerable and must always be alert, agile, and adaptable to the changing environment that we are living in today. Despite our attempt to provide you with some details about the foreseeable future, we submit that this chapter may not have covered many areas and innovations taking place globally in all business areas at almost the same time. For example we have barely touched on the next generation of big data analytics that provides the foundation for the burgeoning field of artificial intelligence that is driving cognitive computing. Yet that is “grist for the writers mill” in order to update the next version of the Creating Business Agility story.
We would be remiss to close this book without a cautionary tale that has an upbeat note on the value of business agility in the context of the dual challenges of cybersecurity and digital privacy. These futures in 2020 are two sides of the same IoT coin in terms of the business value of IT. On one hand, this Force 5 Tornado drives us to change our digital business practices and transform our business ecosystem culture to create the business agility that enables a sustainable competitive advantage, while on the other hand it threatens us with extinction if this technology convergence not embraced and harnessed.
Remember that one of the central themes of Creating Business Agility is to adapt management decision making in real-time to balance the strategic goals: decrease costs, increase revenue, and manage risk. While managing cost and revenue are fundamental to business success, risk is the threat that keeps senior executives awake at night. One of the paramount business risks today is associated with managing enterprise information as an asset in the context of the business value of IT as a strategic initiative. Executives want to avoid the “C-change” that disrupted the careers of the CIO and CEO of Target when inadequate policies and practices for cybersecurity management caused highly visible threats to the financial privacy of over 100 million customers. Today the risk management challenge is to manage the unavoidable and avoid the unmanageable—this is what business agility is all about!
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