How to build an AI product from 0 to 1? And efficiently promote the implementation of the project? If you want to become an AI product manager and have no landing experience, or if the company wants to implement a product + AI project without ideas, you must come and listen to this live broadcast!
Recently, many product people have come to consult AI for the following three reasons:
- The boss said that he would connect the large model to the company’s products to enhance product competitiveness and let me study and research
- This year, Party A has also put forward a lot of demand for AI technology, but now I don’t know about this area
- I want to be an AI product manager, but I have no experience in AI product implementation and can’t pass the interview
It can be seen that various industries and companies are actively embracing AI, and the 0-1 landing of an AI product has also become a hard-core test of the product ability of students who want to enter/transfer to AI product managers or are doing product + AI projects.
However, many people often encounter these problems in the process of getting started with product + AI projects:
- User requirements are not accurately defined: The product manager’s definition of AI scenarios is not consistent with the actual needs of users for AI products, and the efficiency improvement of user pain points and business data is not obvious after the product is launched, and it has become AI for the sake of doing AI, resulting in high rework costs.
- Data acquisition/processing bottlenecks: The core of AI products lies in data, but when the company/industry data assets are insufficient, the data quality is poor, and the annotation cost is too high, it is very challenging to apply vertical AI in the industry.
- Complex technology selection: AI technology iterations are very fast, and it is not easy to choose the right algorithm and framework. How to balance technical cost and practical effect is what product managers need to consider.
The development of AI products is not only a stack of technologies, but also a deep insight into market demand, user behavior and data value.
In order to help everyone understand the whole process of creating AI products from 0-1, we specially invited Vice President of Mama.com Product and former Alibaba Senior Product Expert @ Huang Youjing to share the similarities and differences between the implementation of traditional product projects and AI product projects, and how to quickly get started to make an Ai product.
If you are planning to enter the AI direction, or encounter a stuck point in the process of implementing an AI product project, you must listen to this live broadcast↓
A must-see for product capability improvement in the AI era!
The first 100 people can listen for free, scan the code to register immediately
▼▼▼
3. What can you gain from this open class?
1. What is the difference between the implementation of AI product projects and the implementation of traditional products?
The development of AI products is not just a stack of technologies, compared with traditional Internet products, the implementation of AI products requires more complex algorithm support, more powerful data processing capabilities, and more accurate scenario-based applications.
In this part, the teacher will take you to explore the core differences between AI products and traditional products, helping you understand the key process of AI product implementation.
2. How to quickly get started with an AI product?
Secondly, the development and implementation of AI products has its correct process and methodology, as long as it is mastered, it can be quickly launched.
This part of the teacher will share the experience of the whole process of AI products from demand analysis to product design, and take you to quickly build the core framework for AI product implementation.
3. What abilities do product managers need to have in the process of implementing AI products?
The success of AI products is inseparable from the overall planning of product managers. From technical understanding to user needs, from data management to cross-functional collaboration, product managers need to have multi-dimensional capabilities. This live stream will sort out the core skills of AI product managers and help you navigate complex projects.
Scan the QR code below to activate free class access
▼▼▼
2. Get 1-on-1 communication opportunities with senior product experts
The teachers of this lecture areFormer Alibaba senior product expert @ Huang Youjing teacherWith 21 years of experience in Internet product planning and management, he has served as a senior product expert of Alibaba, product director of Kugou Music, and currently serves as vice president of Mama.com products.
With rich product experience:
- 21 years of product trading experience, experienced 10+ different types of production and research teams, worked in large factory giants and led entrepreneurial teams with only a few people, deeply understand the changes in the ability requirements of product managers under the Internet change, and are familiar with the personnel selection and training strategies of different production and research teams;
- He has led multiple projects in different audiences/fields such as community products, digital music, local life, mother and baby, etc., and has rich experience in daily work problems such as complex product and business problem handling, multi-team coordination, etc.
- He is currently the vice president of product of Mama.com, leading Mama.com’s product strategy and management, user growth and revenue, leading the team to achieve a 100% growth rate of APP users in 5 months, ranking among the top two similar products.
- The teacher is currently focusing on the implementation of AI products, and in this live broadcast, he will talk about his experience story in the future~
Scan the QR code below to get networking opportunities with senior product experts
▼▼▼
3. Community co-learning model + sharing and answering questions, and harvesting a product exchange circle
After registering for the course, we will form a class group and be served by a dedicated class teacher.
It can help you:
- Link to more industry contacts
- Learn and exchange with peers & share resources
- Irregular dry goods sharing + exclusive Q&A by consultants
4. Who are suitable students to study?
This live class is recommended for the following students to learn:
- Students who want to enter the industry after graduation: No experience, no works, lack of core competitiveness; I want to learn, but I don’t know the direction and focus of learning
- International students who are preparing to return to China for development: Not understanding the domestic market environment and employment needs; Lack of project energy and works to match the domestic market
- People in traditional positions who want to change careers: Not familiar with Internet industry standards and unable to enter the industry; Lack of professional knowledge system and project experience, lack of highlights in job hunting
- A workplace novice with a weak professional foundation: The position foundation is weak, the growth is slow, and there is no one to guide them; Lack of voice, passive work, and led by leaders and colleagues
- On-the-job promotion people with certain experience: Lack of systematic combing, inability to draw inferences from one case to another, flexible response; I hope to improve product professional capabilities and achieve promotion and salary increase
- Internet practitioners who want to change jobs: Limited development in the original position, seeking breakthroughs and opportunities; I want to learn product professional knowledge and skills to break through the bottleneck of development
5. How to register for open classes?
This open class will beThursday night from 8 to 9 p.mNow there are not many places left, hurry up and scan the QR code on the poster below and make an appointment to listen to the class now!
Scan the QR code below the poster to learn for free
Limited to the first 100 people! Slow hands!
▼▼▼
