13 authoritative experts deeply analyze the new trends in the nine fields of the Internet of Things in 2017

A few days ago, iot101 Jun launched the 2016 Internet of Things Memorabilia voting campaign, and got the participation and support of many small partners, and selected the TOP10 in his mind. The following is the result of the selection.

The Internet of Things has a wide range of applications that can be applied to every corner of the technology world, especially to the way companies or consumers interact with machines.

We interviewed a number of experts from different fields of the Internet of Things to statistically sort out what they considered to be the most important trends in the Internet of Things in 2017.

These experts include: IEEE senior members and Kevin Curran, senior lecturer at Ulster University; William Webb, also from IEEE; Glen Robson, executive vice president of Verifone; Ian Ferguson, vice president of marketing at ARM; and Steven, co-founder and president of Valencell LeBoeuf; Sukamal Banerjee, Executive Vice President and Global Head of IoT Works and HCL Technologies; Adebayo Onigbanjo, Marketing Director, Zebra Technologies; Rick Orloff, Security and Privacy, Code42; Macario Namie, Strategist, Cisco Jasper; Vice President, IoT Marketing, Nokia Jason Collins; Jeff Woods, vice president of marketing strategy at SAP; Simon Moffatt, senior product manager at ForgeRock; Hossein Rahnama, founder and CEO of Flybits.

In general, artificial intelligence, augmented reality, virtual reality, medical Internet of Things, industrial Internet of Things, and wearable devices are all closely related to the development of IoT in 2017.

What impact does the Internet of Things have on artificial intelligence?

Kevin Curran: AI, especially machine learning, is a scientific program model that is built when we discover a certain knowledge law from the database. The complex calculation process required in automatic recognition and intelligent judgment is based on training sample data. So artificial intelligence technology can mimic some specific capabilities. The basic idea of ​​artificial intelligence is simple, but its implementation process is complicated. First, the artificial intelligence data comes from sensor collection or manual input. The computer stores and analyzes the data to make the most successful judgment on predictive behavior. Now IT giants such as Google, Microsoft, Facebook, etc. are using artificial intelligence technology to do research in various projects. Among them, DeepMind acquired by Google is committed to using neural networks and deep learning to achieve high-level effects with relatively low-level computing hardware. the goal of.

Rick Orloff: Artificial intelligence (AI) is very different from general artificial intelligence (AGI). The former has many applications in life, such as using GPS technology to find the best path to the airport, while the latter is independent. The ability to think, such as intelligent robots, we need to develop techniques in both directions to deal with a variety of problems. In 2017, we will find that the application of Universal Artificial Intelligence (AGI) in the security field is a huge demand. Therefore, improving the security and processing capability of real-time data transmission is an important technical direction.

Hossein Rahnama: We started to enter the initial stage of “AI-driven Internet”. In the new era, our use of the Internet has also started to change from a two-dimensional interactive interface such as a smartphone or a computer. The AI-driven Internet will utilize a three-dimensional interactive interface. Achieve the purpose of the 3D experience. In the AI-driven Internet, the physical environment in which people live is also a networked interface. Taking Uber as an example, Uber takes into account the user's real-time environment (road conditions, distance, etc.) when recommending vehicles to people. Produce a better consumer experience, and we will see more of these services in the future.

Jeff Woods: API (Application Programming Interface) as a bridge between computer code and software applications, previously a circle outside of program coding is not a hot topic, but when Apple announced in June 2016 to open Siri to third-party developers The API makes many people aware of the importance of the API. Through the API, third-party developers can integrate Siri's voice commands into their applications, making Siri's application scene richer. Amazon, Facebook, Microsoft and Google have all had similar moves. In 2017, we predict that there will be a new wave of AI innovation driven by open artificial intelligence technologies such as Siri, Alexa and Cortana. We want to see programmers using artificial intelligence as a platform to build new applications so that they can expand AI usage and functionality more quickly, and the value of "platform AI products" will be more valuable than the AI ​​products of a particular company. .

What kind of impact will the Internet of Things have in the field of industrial production?

William Webb: People's expectations for the Internet of Things are more likely to bring us more convenience and services in the consumer field, but in fact, the main application direction of the Internet of Things is in the industrial field. For example, the application of intelligent lighting in the city can save energy, monitor and track the farm in smart agriculture, and know the parking situation in real time in smart parking, etc., because these applications have clear commercial value, such as cost saving, Increase efficiency and more.

Sukamal Banerjee: In 2017 we will see a fundamental shift in industrial IoT applications. According to our 2016 Global IoT Survey, 38% of companies have started using the Internet of Things and 57% are currently planning, therefore, 2017 Year will become an inflection point of the Industrial Internet of Things. In addition, investment in the industrial Internet of Things sector will increase significantly in 2017, as 69% of our surveys plan to increase investment in the coming year.

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