Seven Big Data Applications Future Trends: Smart Cities, Artificial Intelligence in Columns

Kosta, editor-in-chief of PCMagazine in the United States, recently stated that the development trend of big data in the future will be the most impacted by digital convergence. Combining such technologies as the Internet of Things, blockchain, artificial intelligence, and voice recognition, these technologies complement each other.

Costa pointed out that there are seven major trends in the future application of big data:

Internet of Things

Today, there are 8.4 billion items linked to each other, which is far greater than the global population; not only are 3C products such as tabletops, laptops or mobile phones linked to each other, but also logistics companies use smart scanners for smart logistics, which can change consumers and businesses. The trend, but there is the issue of security risks.

Smart City

The success or failure of this trend depends on the adequacy of data volume and data, which depends on cooperation between government departments and private enterprises. In addition, the developing 5G network is a universal specification worldwide. If the product is adopted by a smart city, it can be applied. Smart cities in the world.

AR and VR

Augmented Reality (AR) and Virtual Reality (VR), these two technologies have recently begun to lower prices and improve quality, to the mass market, FB published the OculusGo headset VR device, priced at only 200 US dollars; Microsoft also published a VR system, Can be used with hardware such as HTC, Samsung and ACER. VR applications are primarily based on video games. Today's applications are beyond video games. For example, they can be used for teaching. They rely on VR devices to complete the wiring of the plug wires at home, just like a hydropower technician is teaching.

Blockchain

The essence of this technology is encoding and decoding, encryption and decryption, which can effectively encrypt information. Blockchains have many different applications. Almost all technology companies in the United States are trying to apply them. The most common application is bitcoin transactions with other cryptocurrencies.

Speech Recognition

Speech recognition is a universal, non-screen interface that can be quickly integrated into various tools and used on smart devices and mobile phones. Amazon’s smart horn, Echo, now develops to the third generation. It can turn on and off smart lights and ask questions. Can search for information, etc. This industry has a great advantage, that is, the companies that develop the technology all intend to commercialize this technology. For example, google, Amazon, and Apple's speech recognition technology can be used by other companies' hardware services through authorization.

artificial intelligence

Artificial intelligence (AI) needs to be educated to import a lot of information in order to evolve and produce unexpected results. The impact of AI is very large. For example, in the media industry, computers and robots can now write very good articles, and they can produce hundreds of articles in one hour, and the cost is also low. AI has a dramatic impact on economic development. Many knowledge industries and white-collar jobs may also be replaced by robots. But he has a positive attitude toward AI. This will make life better. For example, driving a car is definitely safer than driving a car.

Digital convergence

Digital convergence is the trend that has the greatest impact on the future. It is the effect of combining the above six trends, such as 8.4 billion IoT devices, which can be enhanced with blockchain technology; smart cities can be connected through the Internet of Things. Generate large amounts of data, which need to be analyzed by artificial intelligence; virtual reality and speech recognition also need to continue to learn through artificial intelligence. These technological developments are closely related and complement each other, so digital convergence is the most important trend.

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