In the age of artificial intelligence, what are the ability of product managers to improve?

Source: Internet
Author: User

This article and we share the main is the artificial intelligence age,Product Managerwhat needs to be done to improve to meet the needs of the times, take a look at it.
The future has come, for product managers, is both an opportunity, but also a challenge.
future product managers with their product ideas and expertise are likely to change significantly, are you ready to meet new challenges?
with the advent of the AI era, what we are good at, the future may not adapt, in the past we are not good, may be the future decisive. In the future of product design, simple logical thinking, it is likely to no longer adapt to the emotional category of factors will rise straight. -AI is essentially a humanoid human-computer interaction.
The product manager's "purely professional skills" may not be enough to change and enhance the product's capabilities, must scale horizontally, and must have a deeper understanding of the technology, including software, and hardware technologies, as well as the understanding of the data.
But more importantly, it could be an understanding of humanity.
1. Stronger technical comprehension
you need a deep understanding of the technology, including software, hardware implementation technology and future trends, such as the development of hardware and software technology direction? What is the New Frontier Technology/new product form? Product managers need to really understand the soft, hardware development in the end is how to understand the entire software and hardware framework and design ideas. Know the boundaries of technology-not just what you can do, but what you can't do, what you can do today, what you can do in the future.
I remember when I first started working as a programmer, I took a lot of time to really understand "object-oriented programming," and for product managers, I think I can have a more in-depth understanding of the basics and be able to take into account basic programming languages and understand some of the fundamental algorithmic logic You can probably understand the code implementation logic of some requirements.
A good product manager should be able to help/assist the engineer to analyze and verify the problem based on the scene, and to work with the engineer to restore, analyze whether it is in the application layer or the system layer, whether it is the software or the hardware caused.
If you can have a deeper understanding of neural networks, deep learning, automation, and so on, it will greatly help the team to run more and farther on the track.
I 've been chatting with my friends recently, discussing a lot about algorithms, or math topics, and even a lot of friends are picking up math again. The question should be split up, not who is more important. In the application of the business layer (user-oriented product presentation), the core algorithm research will be relatively light, the product manager needs to master or meet the level requirements will be much lower, especially after tensorflow out, the application layer of many requirements will be relatively reduced.
for most product managers (many product managers are difficult to really touch the algorithm level, but focus on the customer interface), the solution is the user-oriented practical problems, so with the needs of the problem scenario to carry out relevant professional learning (research) more practical significance.
at the core algorithmic level, the territory of a highly intelligent population, a paradise for scientists, most product managers do not touch, is another completely different topic. After you have figured out your position, you should focus on the areas you are good at.
probably can only say, you know a little more technology, may be different from the engineer's communication, but in turn, may also give you some other limitations, let you in the time of the unrestrained, by a rope tie--it seems not to achieve it.
2. Stronger insight and creativity
the dramatic changes in the scene, so that the interaction of AI from the traditional GUI, to more closely close to human interaction forms of natural behavior, this more complex or more three-dimensional interactive mode, not only the software level, but also may be hardware level, but at this stage far from the formation of a clear system of interaction standards, At the same time, the user's intentions under the stereoscopic interaction are very likely to deviate greatly from the user's intentions in the GUI era.
AI-related products, its threshold will be higher than the Internet products, its design may be strong correlation with the hardware, the Internet era through data-driven design ideas, may be in a long period of time there will be a great deal, it is likely to be difficult for a period of data analysis to the main driver to verify the closed loop.
the future of product design, need more creative thinking and imagination, to guide and grasp the needs.
between people, there is always a huge gap, it is true, it is like a non-fish, the joy of the fish. It's hard to guessing, to pretend that people are talking to each other, or that we can't get along with each other.
from this humanistic point of view, it may be difficult for us to truly understand each other and to understand each other deeply in the coming years. The product of AI will be stuck in a place where there may be a long-term intellectual disability.
based on this, future product managers, whose view of the world may become different, the design of the product will become different. Insight, rich creation, it is possible for your users to Marvel, the original Ta really understand me.
3, deeper industry and business understanding ability
Although the inflection point of the development of artificial intelligence has come, it is inevitable to go through a process of evolution from the points to the surface, from the vertical field to the general field. Whether intelligent products and services can hit the user's pain point needs, relying on artificial intelligence technology in the product can give much support, that is, often said strong AI still have a long distance.
Artificial intelligence is still in essence to solve the user's demand pain point, may be different, it is more concerned about productivity improvement, such as outpatient registration, through the AI technology, in some scenarios, "additional provision of medical resources", can alleviate the efficiency of outpatient queuing, can alleviate the patient's fear and discomfort, and so on.
Future-oriented product managers need to have a deeper understanding of how "I Am" and "What I Want" in this area before they can solve specific problems before they have a chance to cut in.
you need to find out more about the problems that are connected, those problems are productivity issues. The solution of the latter must create great social value.
such as medical, education, finance and other highly specialized subdivision areas, "weak artificial intelligence" is the future of artificial intelligence fermentation prominent field. The common feature of these areas is that there is always an area where people and people must work closely together, so there are enough user points of contact as an advantage of the AI's incision. Product managers in this category, based on years of industry precipitation, as well as a deep understanding of user pain points and business processes, will surely flash their prominent advantage at some point in time.
AI should be in a certain period of time, is still to solve a single demand, that is, from the vertical field of application requirements, is the first step in the search for artificial intelligence solutions, single-point solution to the problem of artificial intelligence can really landed. In the future, AI will become as important as electricity, industry barriers will appear, for product managers, based on the understanding of the industry and the scene, the user behavior insight, will become the decisive factor in the future.
4, written in the last
Perhaps the AI sector will still face a wave of bubbles, although AI technology is technically far from ripe, but the future has come and it is time for product managers to meet and embrace a completely different era.
in the AI era, product design ideas need to stand in the industry, algorithms, technical engineering, user awareness, and even the competitive environment and other aspects of understanding, according to the overall environment, in-depth integration into the user's context to develop.
for product managers, in addition to product skills, the technical understanding of the soft and hardware level, as well as the deep understanding and awe of people and society, will also change with the internet era.

Source: Network

In the age of artificial intelligence, what are the ability of product managers to improve?

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