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<\/figure>\nHere are just a few examples:<\/p>\n
\u25cf Transportation is an asset-intensive industry that relies on efficient operations to achieve maximum profitability. To help customers manage these important assets,\u00a0GE Transportation<\/a>\u00a0<\/a>is equipping its locomotives with devices that manage hundreds of data elements per second. The devices decipher locomotive data and uncover use patterns that keep trains on track and running smoothly.<\/p>\n \u25cf The\u00a0IoT\u2019s promise for manufacturing<\/a>\u00a0is substantial. The IoT can build bridges that help solve the frustrating disconnects among suppliers, employees, customers, and others. In doing so, the IoT can create a cohesive environment where every participant is invested in and contributing to product quality\u2014and every customer\u2019s feedback is learned from. Smart sensors, for instance, can ensure that every item, from articles of clothing to top-secret defense weapons, have the same quality as the one before. The only problem: The many pieces of the manufacturing puzzle and devices in the IoT are moving so quickly that spreadsheets and human analysis alone are not enough to manage the devices.<\/p>\n \u25cf\u00a0IoT in healthcare<\/a>\u00a0will help connect a multitude of people, Things with smart sensors (such as wearables and medical devices), and environments. Sensors in IoT devices and connected \u201csmart\u201d assets can capture patient vitals and other data in real time. Then, data analytics technologies, including machine learning and artificial intelligence (AI) can be used to realize the promise of value-based care. There\u2019s significant value to be gained, including operational efficiencies that boost the quality of care while reducing costs, clinical improvements that enable more accurate diagnoses, and more.<\/p>\n \u25cf In the\u00a0oil and gas industry<\/a>, IoT sensors have transformed efficiencies around the complex process of natural resource extraction by monitoring the health and efficiency of hard-to-access equipment installations in remote areas with limited connectivity.<\/p>\n \u25cf Fuelled by greater access to cheap hardware, IoT is being used with notable success in\u00a0logistics\u00a0and fleet management by enabling cost-effective GPS tracking and automated loading\/unloading.<\/p>\n All of these industries will benefit from the IoT; however, as the IoT world expands, these industries and others are looking for ways to track the barrage of new Things that are now pivotal to their success. Thing Management pioneers such as\u00a0Oomnitza<\/a>\u00a0help organizations manage devices as diverse as phones, fork lifts, drug infusion pumps, drones and VR headset, providing an essential service as the industrial IoT flourishes.<\/p>\n To successfully manage these Things, enterprises are not only looking for Thing Management. They also are rethinking the Internet, not as the Internet of People (IoP), but as the Internet of Things (IoP). Things aren\u2019t people, and there are three fundamental differences.<\/p>\n Many more Things connected to the Internet than people<\/i> Things have more to say than people<\/i> Things can speak much more frequently<\/i> Technologists and businesspeople both need to learn how to collect and put all of the data coming from the industrial IoT to use and manage every connected Thing. They will have to learn how to build enterprise software for Things versus people.<\/p>\n The industrial IoT is all about value creation: increased profitability, revenue, efficiency, and reliability. It starts with the target of safe, stable operations and meeting environmental regulations, translating to greater financial results and profitability.<\/p>\n But there\u2019s more to the IoT picture than that. Building the next generation of software for Things is a worthy goal, with potential results such as continually improving enterprise efficiency and public safety, driving down costs, decreasing environmental impacts, boosting educational outcomes and more. Companies like GE, Oomnitza and Bosch are investing significant amounts of money in the ability to connect, collect data from, and learn from their machines.<\/p>\n The IoT and the next generation of enterprise software will have big economic impacts as well. The cost savings and productivity gains generated through \u201csmart\u201d Thing monitoring and adaptation are projected to create\u00a0$1.1 trillion to $2.5 trillion<\/a>\u00a0in value in the health care sector,\u00a0$2.3 trillion<\/a>\u00a0to\u00a0$11.6 trillion<\/a>\u00a0in global manufacturing, and\u00a0$500 billion<\/a>\u00a0to\u00a0$757 billion<\/a>\u00a0in municipal energy and service provision over the next decade. The total global impact of IoT technologies could generate anywhere from\u00a0$2.7 trillion<\/a>\u00a0to\u00a0$14.4 trillion<\/a>\u00a0<\/a>in value by 2025.<\/p>\nThink IoT, not IoP<\/b><\/h3>\n
\nJohn Chambers, former CEO of Cisco, recently declared there will be 500 billion Things connected by 2024. That\u2019s nearly 100 times the number of people on the planet.<\/p>\n
\nA typical cell phone has nearly 14 sensors, including an accelerometer, GPS, and even a radiation detector. Industrial Things such as wind turbines, gene sequencers, and high-speed inserters can easily have 100 sensors.<\/p>\n
\nPeople enter data at a snail\u2019s pace when compared with the barrage of data coming from the IoT. A utility grid power sensor, for instance, can send data 60 times per second, a construction forklift once per minute, and a high-speed inserter once every two seconds.<\/p>\nHow the Industrial IoT Will Shape the Future<\/b><\/h3>\n