The terms big data, artificial intelligence (AI), robotics, algorithms, deep learning, Internet of Things, sensors ... seem to be seen or heard every day. When people don't know what they are, the media has been constantly reporting that human work is about to be replaced, which makes people more and more anxious.
I have doubts like everyone else, but information science has always had a fatal attraction to me. Probably because my first job was as a programmer for four years. Last year, I resolutely left my job and went to the University of California to study big data prediction science. Because I have been engaged in brand marketing and communication with consumers for a long time, I want to use some simple language to help you clarify the relationship between these nouns.
Why are robots so powerful? Because they are equipped with brains, this is artificial intelligence. But artificial intelligence also has advantages and disadvantages. Just like people, they have different IQs. Whether a robot is strong or not depends on its artificial intelligence. Therefore, without artificial intelligence, robots are just "machines", not "people".
How does artificial intelligence become powerful? Feed it with big data. Big data is like the food of artificial intelligence. Like humans, the fresher and cleaner the food you eat, the healthier the artificial intelligence will be.
How does artificial intelligence digest so much data? It depends on the algorithm. Algorithm is the digestive system of robot, which is responsible for reading and digesting big data and producing results at the same time.
Therefore, the algorithm is the key. But there are many kinds of algorithms, such as prediction analysis algorithm, various statistical algorithms, deep learning algorithm and so on. Everyone who can write a program may create his own algorithm, so there are advantages and disadvantages. A good algorithm will create a smart brain, that is, a smart artificial intelligence and a robot with high IQ.
How do modern enterprises collect big data? In addition to the traditional ERP (Enterprise Resource Planning Management System) and CRM (Customer Relationship Management System), the new trend is to rely on the network, the Internet of Things and sensors, which are the hands and feet of robots.
The Internet of Things is not a new concept. The traditional retail POS (Point of Sale Information System) is connected with a computer, which is an example of the Internet of Things. Now, everything you can think of can be connected to the computer. For example, sports insoles can be networked, which can provide exercise frequency, mileage and health status. Factory equipment can also be networked to provide production data, output and equipment operation at any time. After all kinds of home appliances are connected to the internet, you can always know the trends at home, who will go out, when will you come back, the switches of all kinds of home appliances and so on.
Will human work be replaced? JeremyHoward, a professor at Singularity University founded by Google, is worried that 80% of jobs in the future may be replaced by artificial intelligence robots, from unmanned shops, internet courts, helping doctors read X-rays to identify tumors, computer consultations and prescriptions, to catching terrorists with big data. If it is proved that this is not a lie, where will mankind go in the future?
According to the current development, there is a skill that artificial intelligence robots can't learn, and that is "asking the right questions". For example, Google can provide answers to all kinds of questions, but it can't ask a question you need. Therefore, it is more important to learn "how to ask the right questions" than "give the right answers" in the future, which will also be your most important value!