Internet of Things + Internet (perpetual motion machine for production data)
Provide data continuously. Taobao's nearly 400 million members generate about 20TB of commodity transaction data every day; about 1 billion Facebook users generate more than 300TB of data every day
Big Data
Save and link data, why link? Because after things and information are connected, data can be connected, and data can be connected to produce greater value. For example, the location data of a car is not of much value, but the location data of thousands of vehicles can be used to determine road congestion and traffic dispatch.
- Volume (large)
- Variety (various): relational data, pictures, audio and video, non-relational data
- Velocity (high speed): real-time requirements for data analysis, such as Didi Taxi
- Value (value), generally we call it 4V. Models can be used to dig out future trends to improve production efficiency and user experience (logistics before Double 11)
Cloud storage and cloud computing
Thousands of computers and servers are connected to form a computer cloud. Therefore, cloud computing can even allow you to experience 10 trillion operations per second. With such a powerful computing power, you can simulate nuclear explosions, predict climate change, and market development trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their needs. Rapid deployment and expansion, strong stability, safety and reliability, easy integration, low cost, etc. For an enterprise, having cloud computing services is equivalent to acquiring the top-notch IT infrastructure. In the traditional model, companies need to purchase their own hardware and software systems, which requires internal IT personnel to maintain. With the shift of business to the cloud, companies do not need to hire as many IT maintenance personnel as before, reducing labor costs.
artificial intelligence
Artificial intelligence goes a step further on the basis of big data. Artificial intelligence analyzes the data and then takes actions based on the analysis results, such as unmanned driving and automatic medical diagnosis. And with the automatic learning of self-evolution models will become more and more intelligent
