Absrtact: We all know that new business forces, such as mobility, social networking, cloud computing and big data, are subverting old business models, and they are just as unstoppable as the wheels of history. But what we have to deal with now is: mobile, social, cloud computing, and big
We all know that new business forces, such as mobile, social, cloud computing, and big data, are subverting old business models, and they are as unstoppable as the wheels of history.
But what we have to deal with now is: After mobile, social, cloud computing, and big data, what's next?
Bryan Hopkins, an analyst at Forrester, a research agency, gave some answers, most of which were based on mobile, social, cloud computing and the "four carriages" of big data.
Bryan Hopkins the technical trends into four groups:
End User Computing
1. Next-generation devices and user interfaces
New sensors and user interfaces. For example, Leap Motion the company's 3D gesture control technology.
2. Advanced collaboration and communication technology
For example, internal communication software Yammer.
3. System participation
Real-time data, in the hands of everyone. For example, Roambi provides mobile solutions for the enterprise, allowing users to keep abreast of the company's latest information and data.
Sensor and Remote computing technology
1. Intelligent products that can perceive, react and communicate
such as the architecture of the operating system (Internet of Things).
2. Positioning
GPS and indoor position sensors.
3. Networking between machines and machines
The connection between people and things. For example: Reelyactive company.
Data management Technology
1. Intelligent Process Application
Real-world business process operations are much more complex than flowcharts. Intelligent process applications will help you.
2. Advanced Analytical Techniques
More intelligent, predictive data. For example, Hadoop data management software and service provider Cloudera.
3. Popular business intelligence (business FDI)
The need for Business Intelligence (BI), the collection, management, and analysis of business information-not the last day of the month, but the need for every one hours.
4. Cloud Services
Scalable, Low-cost computing power for flash memory. For example, PAAs (Platform as Service), Baas (back-end, service), etc.
Infrastructure and application Platform
1. Large Data platform
Infrastructure that handles large data and supports high-speed operations and stores large amounts of redundant data.
2. Breakthrough Storage and calculation
Hardware may still be important.
3. Software Definition Network
Software determines your network path and data center capabilities.
4. Cloud Application Framework
The technology of deploying and running distributed applications in the cloud.
5. New Authentication and trust model
New technologies or patterns, such as "Federated Authentication", kill the traditional username and password.
If you are interested in the first two sets of technology trends (end user computing, sensors, and remote computing), you can refer to the winners of the Kickstarter and Indiegogo technology start-ups. If you are interested in the latter two sets of technology trends (data management, infrastructure, and application platforms), you can look at Google and Facebook.