There is no doubt that there are three main trends in business models: the Internet of things (IoT), big data and artificial intelligence (AI).From the Internet of things still spread to rapid fluctuations in computing paradigm, people how to reshape the way we live, and everyone is talking about these trends, but what really happened? 

The following is your understanding of consumer needs and the future of the future from a consumer perspective. 

Big data

The big data defined in Wikipedia is the term for a dataset that is so large or complex that traditional data processing applications are not enough to handle them.Due to very large data sets, the challenges faced by including the capture, storage, analysis, data management, search, share, transfer, visualization, query, update, and information privacy.However, it is more likely to be used for reference prediction analysis, user behavior analysis, advanced data methods (including artificial intelligence), and not just the size of the dataset. 

In 2017, expect the emergence of block-style applications, especially in the ledger system, where the contract is written in code.These are usually more secure and irreversible than traditional contracts, but are more efficient when referring and executing these contracts. 

In addition, the rise of the data self-service solution will enable organizations to analyze their data without having to establish a data science department.For small businesses with no budgets, this is very valuable for data scientists with high demand for 2016. 

The 2017 Internet of things, big data and artificial intelligence predictions

The use of Hadoop also fell rapidly, this framework allows distributed processing of large data sets, because hiring the necessary talent to support the framework in internal was proved to be challenging.They also tend to use applications on the cloud to reduce the cost of data centers, which makes the data self-service model popular. 

As research firm Gartner Inc., in the analysis of data management solutions in the magic quadrant points out, because of the flexibility, agility and operating pricing model, is now expected to cloud as an alternative deployment options. 

Therefore, as more companies can provide correct knowledge acquired from a structured and unstructured data, so you can look forward to the C level managers are more likely to gain insight. 

This is a double-edged sword, but with the development of big data technology, executives' expectations will be immediately their data, rather than waiting for a batch analysis report.As a result, near real time data provide the stress of operational analysis faster. 

The Internet of things

Forbes describes the Internet of things as connecting any device (and/or each other) that opens and closes the switch.If the device has a switch, it may be configured as part of IoT. 

Think "smart home" equipment, such as locking, when it detects near your cell phone can unlock, or could be detected in the moves to open the lamp. 

In 2016, we saw the noise from many vendors with similar solutions.In 2017, we can expect some of these suppliers to win, which will lead to fewer suppliers in the market.With the decline of suppliers, we can also expect regulation and standardization to work, making us a simpler and more cohesive solution.It is also a security issue because IoT cyber attacks took up a grid in western Ukraine last year.Of course, the research on car hacking is also a concern, so 2017 could bring security to the Internet of things.