As objects become embedded with sensors and gain the
ability to communicate, the new information networks promise to create
new business models, improve business processes, and reduce costs and
risks.
In most organizations, information
travels along familiar routes. 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 what’s called the Internet of Things, 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’s 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 microcameras 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.
Yes, there are traces of futurism in some of this and early warnings for companies too. Business models based on today’s largely static information architectures face challenges as new ways of creating value arise. When a customer’s buying preferences are sensed in real time at a specific location, dynamic pricing may increase the odds of a purchase. Knowing how often or intensively a product is used can create additional options—usage fees rather than outright sale, for example. 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.
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