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With the advent of cheap sensors and low-cost network connections, the number of Internet of things devices is surging-as of 2018, there were more than 17 billion connected devices worldwide, of which more than 7 billion were "Internet of things" devices. However, creating reliable, secure, remotely controlled and upgraded, and cost-effective equipment remains an extremely complex issue.

Author | Ron Schmelzer

Translator | windmill, editor-in-chief | Guo Rui

Produced | CSDN (ID:CSDNnews)

The following is the translation:

According to IoT Analytics (Internet of things Analysis), as of 2018, there were more than 17 billion connected devices worldwide, of which more than 7 billion were "Internet of things" devices. The Internet of things is a collection of sensors, devices, and other technologies that do not interact directly with consumers like mobile phones or computers. Instead, Internet of things devices help provide information, control, and analysis, connecting a world of hardware devices to each other and to the larger Internet. With the advent of cheap sensors and low-cost network connections, the number of Internet of things devices is surging.

April 2, 2019, Lower Saxony, Hannover: there is a learning factory at the Fischertechnik booth at the Hanover Fair and products are classified by conveyor belt (GETTY IMAGES).

Enterprises will be overwhelmed by the huge amount of data generated by these devices, and they want artificial intelligence to help manage these devices and gain more insight and wisdom from these large amounts of data. However, managing and extracting valuable information from these systems is much more difficult than we expected. The Internet of things involves many factors and sub-components, such as connectivity, security, data storage, system integration, device hardware, application development, and even networks. In addition, the complexity of the Internet of things is related to the scale of the function. In general, it is easy to build sensors that support smart device access, but creating reliable, secure, remotely controlled and upgraded, and cost-effective devices is a much more complex issue.

How does artificial intelligence change the Internet of things?

In a recent AI Today, Microsoft's Rashmi Misra shared how artificial intelligence and the Internet of things combine to provide greater visibility and control over devices and sensors connected to the Internet. At Microsoft, Rahimi is in charge of a team building Internet of things and artificial intelligence (AI) solutions, as well as a variety of partners, such as device manufacturers, application developers, system integrators, and other vertical partners who want to play a key role in the Internet of things. Her Microsoft team focuses on gaining in-depth insights and knowledge from data generated by Internet of things devices and simplifying data access and reporting processes.

The Internet of things is changing the business model to help companies move from simply producing products and services to those that provide satisfactory results for their customers. By influencing the business model of the enterprise, the combination of Internet of things devices and sensors and machine learning creates a new world of collaboration and interconnection. The combination of the Internet of things and artificial intelligence is changing many industries and the relationship between enterprises and customers. Enterprises can now collect data through the Internet of things and turn it into useful and valuable information.

When an enterprise begins its digital transformation, the combination of the Internet of things and artificial intelligence may cause controversy in its industry. Whether an enterprise uses the Internet of things and AI to communicate with customers, implement session agents, customize user experience, analyze or optimize productivity, through the Internet of things and AI, enterprises can dynamically insight into every piece of data, from touching the actual needs of customers, to employees, to suppliers and partners, and the entire system with which they interact. Internet of things devices not only simulate the business process into the software, but also provide the system with an actual interface with the real world. Measure, interact, or analyze anywhere sensors or devices can be placed, and Internet of things devices also support cloud platforms connected to artificial intelligence to obtain a large amount of value information.

Artificial intelligence helps to understand the data of the Internet of things

Nowadays, the common challenges faced by enterprises in artificial intelligence and Internet of things are the application, accessibility and analysis of Internet of things data. If you have data pools from a variety of sources, you can use these data for some statistical analysis. However, if you want to take proactive action in predicting future events, a business needs to learn how to identify this data and analysis process.

The amount of data on the Internet of things is huge, especially in enterprises that have deployed sensors to a single unit level. A large amount of ever-changing data is difficult to manage with traditional business intelligence and analytical tools. This is where AI intervened. By using unsupervised learning and clustering methods, the machine learning system can automatically identify normal and abnormal patterns in the data and sound an alarm when it deviates from the normal range without the intervention of human operators. Similarly, these Internet of things systems that support artificial intelligence can automatically display relevant suggestions that may not be seen artificially in huge amounts of data.

Enterprises are implementing Internet of things systems that support artificial intelligence in many different ways. Solution companies are starting to provide packaged code and templates, including test models for specific application areas, such as shipping and logistics, manufacturing, energy, environment, construction and facility operations. Other companies are creating customer solutions, building and training their own models, and leveraging the external CPU capabilities of cloud providers. Some solutions integrate artificial intelligence capabilities into pre-built solutions or cloud-based products, while others aim to decentralize artificial intelligence capabilities and push machine learning models to the edge to keep data close to the device and improve performance. There are many ways to implement this AI technology, but the challenge is how to apply it and access it appropriately.

Today, we are seeing large-scale growth in artificial intelligence and the Internet of things. Together, these technologies can achieve the next level of automation and productivity while reducing costs. As consumers, businesses, and governments begin to deploy the Internet of things in a variety of environments, our world will change dramatically. It has quickly changed everything from retail to the supply chain to health care. The Internet of things with artificial intelligence is changing the energy industry through smart energy solutions. In a smart energy solution, a city or town wants to create a non-localized electricity transaction by installing houses with solar panels. Rashmi shares an example of how the Internet of things changes the supply chain and logistics. In that case, milk is easily affected by temperature changes. If your milk is transported from one place to another, you can use the Internet of things to track every step of the milk transportation process. With more smart devices, both the private sector and the public sector will have a huge impact.

The popularity of Internet of things devices is making the future a closely connected, instant access to information world. Artificial intelligence is now needed to manage all these devices and to understand the data returned by these devices. To some extent, artificial intelligence and the Internet of things are mutually beneficial symbiosis and will continue to maintain an intertwined relationship to move forward.

Original text: https:// www.forbes .com / sites/cognitiveworld/2019/10/01/making-the-internet-of-things-iot-more-intelligent-with-ai/#17f76fe9fd9b

This article is a translation of CSDN. Please indicate the source when reproduced.

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