Algorithm demo is more inclined to proposition composition, and in the product commercialization, the key first step is based on the scene, to redefine the problem!
Artificial intelligence industry in the last two years at home and abroad to get the growth of the burst test, the giants have set up their own layout and artificial intelligence laboratory research, but we have to admit that the current direction mainly concentrated in the attention of the artificial intelligence technology talent, talent in artificial intelligence products has not been further attention.
The main reason for this is that ARTIFICIAL intelligence is still a very new technology field. At present, there is not a large area of commercial products about artificial intelligence. With the transformation from technology to commercial products, artificial intelligence product managers are bound to receive as much attention as Internet PM many years ago.
Product manager in every era has actually, just is changed a name, in the era of fast consumer goods, because consumer has a standard, so the homogeneity is very serious, this time is equivalent to a marketing product manager, product manager to sell consumer goods through the marketing way of homogeneity to users; In the era of software, products are in a state of availability, and they are rapidly seizing market share for product layout. At this time, the project manager is actually equivalent to the product manager. The main work is to control the product development process for project management, and quickly form the product landing. In the era of mobile Internet, the technology has been mature, and the competition between products is actually the competition of demand and experience. Only then has the Internet product manager formed a standardized system, and it has become the core competitiveness of a product manager to explore the potential needs of users and improve product user experience.
Then we will have such a question, in the era of artificial intelligence, what is the core competitiveness of AI product managers? Is there a reasonable body of knowledge to guide us to learn?
Sorry, the answer is no!! Is like the Internet product manager has just appeared and no real a system of knowledge and skills for you to reference, the current Internet product manager system of knowledge and skills is colliding with each big company recruitment requirement and product research and development in the process of trial and error of a common system, AI product manager now, because there is no large mature commercial products fall to the ground, The current knowledge gap can only be said to be more serious.
I am a kind of habit, typically to study some skills, I am going to search the first point is the company’s recruitment requirements, especially giant companies such as BAT, a new type of position are often led by big companies and gradually establish a standard, we might as well go and see their recruitment requirements.
Summarizing the recruitment requirements of the above three giants, it is not difficult to find the common ground. In addition to the basic skills of Internet product manager, AI product manager is required to have the industry/scene and technology, which are the most frequently mentioned words. In terms of technology, it only mentions the need to have an ambitious understanding of the basis of ARTIFICIAL intelligence. That is to say, in terms of technology, product managers are not required to be able to develop products, which is similar to the requirements of Internet product managers. The key requirements are actually in scene mining and industry experience.
Therefore, we can basically come to a conclusion that the core skill of AI product manager is to redefine the scene and demand through ARTIFICIAL intelligence technology and redefine the way to solve problems through personal knowledge reserve, so as to provide a set of feasible ARTIFICIAL intelligence solutions.
AI product manager, product manager and the Internet have a lot in common, can say AI product manager is in some ways the Internet product manager again subdivision, AI product manager to master the Internet product manager in guarantee most of the knowledge system also needs to have its own unique skills, such as for understanding and mastering knowledge of artificial intelligence, And the definition of the scene and so on.
Which begs the question, what is the biggest difference between an AI product manager and an Internet product manager? In my opinion, there are two major differences.
We by means of artificial intelligence to redefine the scene demand, demand and the technical verification is one of the most important, in Internet product manager view, however, demand is more easy to find things, easily solved by conventional normal technical means, can carry on the product faster iteration to form products fall to the ground and the closed loop.
However, for artificial intelligence product managers, this is more difficult. Due to technical problems, we need to spend a lot of time to verify the scene requirements, and verify whether the requirements can be solved by means of artificial intelligence. Products available basic level can reach 60 points tend to be more important than a perfect product development, only we can through the technology test scenarios, a product that is possible for commercial, AI product managers often encounter a predicament, oneself very not easy to find a scene demand, in personal opinion by means of artificial intelligence can greatly improve the efficiency, However, after half a year or even a year of technical verification, it was found that it could not, in this case, it became more important to switch to other scenarios.
Actually before deep learning did not appear, the development of artificial intelligence has reached a plateau, I used to have a research on artificial intelligence translation write a paragraph, general meaning is that he saw a paper about the intelligent translation of Google, found himself before all technical accumulation has been left behind, have to say this is a huge blow. Therefore, if you are an ARTIFICIAL intelligence product manager, it is more important to pay attention to the forefront of the industry technology update, often a requirement verification failed last year, but over time can be solved through technical means!!
For many comrades who want to transfer to AI products, they are suffering from the lack of standardized guidance. I also looked up a lot of information and found that another PPT has a reasonable prediction for AI product managers.
He divided artificial intelligence products into three categories and ten sub-categories, namely platform website, most of which are open platform website products at present. Vertical scene class, this is a major battlefield area; Finally, there is the chat category, which is often the most difficult. It is often combined with intelligent hardware, such as smart speakers, purely platform-based secret products, etc.
Personally, I think AI is a skill-based profession, and its main opportunities lie in subdivision and crossover fields. The biggest difficulty for AI product managers is how to define requirements based on scenarios.
Personally, I think the main learning route can be divided into three parts:
The first step is to find your interests and expertise, and it is best to overlap with your previous skills in the field. If divided into technical categories, it is actually human-computer interaction/computer vision/natural language processing/biometric recognition, and these categories are divided into many smaller categories.
The second step is to choose whether you want to go platform based, chat based or scene based.
The last step is actually implementing the transformation. This is the most difficult step, and of course the final step, so let’s focus on implementing the transformation.
Implement transformation requires us to deepen the understanding of AI technology, we need to cultivate kind of machine learning ways of thinking, and need to contact the multi-sensory way of human-computer interaction, in the design of the product of artificial intelligence, before we can’t use the Internet to solve demand means applying, multi-sensory way of human-computer interaction is the biggest characteristic of artificial intelligence product, Of course, all products are actually landed in the scene. How to design a usable AI product also requires us to have a deep understanding of the scene and industry, and cross-field collaboration product skills.
It should be noted that much of this article was inspired by the ideas of Hanniman, the Strategic officer of Turing Robotics, to whom I thank.
I’ll conclude with his words: