1. Unlock business value with IoT

As IoT becomes more widespread in the marketplace, companies are capitalizing on the tremendous business value it can offer. These benefits include:

Deriving data-driven insights from IoT data to help better manage the business

Increasing productivity and efficiency of business operations

Creating new business models and revenue streams

Easily and seamlessly connecting the physical business world to the digital world to drive quick time to value

2. What technologies have made IoT possible?

While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.

Access to low-cost, low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers.

Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other �things� for efficient data transfer.

Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.

Machine learning and analytics. With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.

Conversational artificial intelligence (AI). Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.

3. Create new efficiencies in manufacturing with IoT

Machines can be continuously monitored and analyzed to make sure they are performing within required tolerances. Products can also be monitored in real time to identify and address quality defects.

4. Improve the tracking and �ring-fencing� of physical assets.

Tracking enables businesses to quickly determine asset location. Ring-fencing allows them to make sure that high-value assets are protected from theft and removal.

5. Enable business process changes.

The use of IoT devices for connected assets to monitor the health of remote machines and trigger service calls for preventive maintenance.


Focused Industries

  • Manufacturing:

    Manufacturers can gain a competitive advantage by using production-line monitoring to enable proactive maintenance on equipment when sensors detect an impending failure. Sensors can actually measure when production output is compromised. With the help of sensor alerts, manufacturers can quickly check equipment for accuracy or remove it from production until it is repaired. This allows companies to reduce operating costs, get better uptime, and improve asset performance management.

  • Automotive:

    The automotive industry stands to realize significant advantages from the use of IoT applications. In addition to the benefits of applying IoT to production lines, sensors can detect impending equipment failure in vehicles already on the road and can alert the driver with details and recommendations. Thanks to aggregated information gathered by IoT-based applications, automotive manufacturers and suppliers can learn more about how to keep cars running and car owners informed

  • Transportation and Logistics

    Transportation and logistical systems benefit from a variety of IoT applications. Fleets of cars, trucks, ships, and trains that carry inventory can be rerouted based on weather conditions, vehicle availability, or driver availability, thanks to IoT sensor data. The inventory itself could also be equipped with sensors for track-and-trace and temperature-control monitoring. The food and beverage, flower, and pharmaceutical industries often carry temperature-sensitive inventory that would benefit greatly from IoT monitoring applications that send alerts when temperatures rise or fall to a level that threatens the product.

  • Retail:

    IoT applications allow retail companies to manage inventory, improve customer experience, optimize supply chain, and reduce operational costs. For example, smart shelves fitted with weight sensors can collect RFID-based information and send the data to the IoT platform to automatically monitor inventory and trigger alerts if items are running low. Beacons can push targeted offers and promotions to customers to provide an engaging experience.

  • Public Sector:

    The benefits of IoT in the public sector and other service-related environments are similarly wide-ranging. For example, government-owned utilities can use IoT-based applications to notify their users of mass outages and even of smaller interruptions of water, power, or sewer services. IoT applications can collect data concerning the scope of an outage and deploy resources to help utilities recover from outages with greater speed.

  • Healthcare

    IoT asset monitoring provides multiple benefits to the healthcare industry. Doctors, nurses, and orderlies often need to know the exact location of patient-assistance assets such as wheelchairs. When a hospital�s wheelchairs are equipped with IoT sensors, they can be tracked from the IoT asset-monitoring application so that anyone looking for one can quickly find the nearest available wheelchair. Many hospital assets can be tracked this way to ensure proper usage as well as financial accounting for the physical assets in each department.

  • General Safety Across All Industries

    In addition to tracking physical assets, IoT can be used to improve worker safety. Employees in hazardous environments such as mines, oil and gas fields, and chemical and power plants, for example, need to know about the occurrence of a hazardous event that might affect them. When they are connected to IoT sensor�based applications, they can be notified of accidents or rescued from them as swiftly as possible. IoT applications are also used for wearables that can monitor human health and environmental conditions. Not only do these types of applications help people better understand their own health, they also permit physicians to monitor patients remotely.

5G Networks and Internet of Things

5G has extended its mission to communicate things more than just people. The resulting 5G IoT contributes to the prosperity of the smart city ecosystem by allowing entities, big or small, to set up IoT services without the need to implement their own network facilities, compared with solutions.

Security, Privacy, and Trust on IoT

The latest methodologies, solutions, and case studies pertaining to IoT security, privacy, and trust issues. Its objective is to publish high-quality articles presenting security algorithms, protocols, policies, frameworks, and solutions for the IoT ecosystem.

IoT communication standards and protocols

When IoT gadgets talk to other devices, they can use a wide variety of communications standards and protocols, some devices use Wi-Fi or Bluetooth, for instance is a wireless protocol for low-power, short-distance communication, while message queuing telemetry transport (MQTT) .

IoT, edge computing and the cloud

edge computing, consisting of appliances placed relatively close to IoT devices, fielding the flow of data from them. These machines process that data and send only relevant material back to a more centralized system for analysis.

IoT platforms

The cloud giants are trying to sell more than just a place to stash the data your sensors have collected. They're offering full IoT platforms, which bundle together much of the functionality to coordinate the elements that make up IoT systems. In essence, an IoT platform serves as middleware that connects the IoT devices and edge gateways with the applications you use to deal with the IoT data

IoT and big data analytics

but is small potatoes compared to many real-world IoT data-harvesting operations. Many big data operations use information harvested from IoT devices, correlated with other data points, to get insight into human behavior.

IoT data and AI

Many IoT providers are offering machine learning and artificial intelligence capabilities to make sense of the collected data. IBM's Jeopardy!-winning Watson platform, for instance, can be trained on IoT data sets to produce useful results in the field of predicative maintenance � analyzing data from drones to distinguish between trivial damage to a bridge and cracks that need attention, for instance. Meanwhile, Arm is working on low-power chips that can provide AI capabilities on the IoT endpoints themselves.

IoT and business

More generally, enterprises are looking for IoT solutions that can help in four areas: energy use, asset tracking, security, and the customer experience.