Design’s value in commercialization of artificial intelligence
Speaker
  • Xu Yun Xu Yun 4Paradigm Design Director

    I graduated from Academy of Arts & Design, Tsinghua University with 12 years of Internet industry experience and 7 years of team management experience. In 2017, I joined the fourth paradigm of artificial intelligence Unicorn company as design director, and now I am also the Secretary General of CTO Office.

    As an international leading artificial intelligence platform and technology service provider, the fourth paradigm has won IDC marketscape for three consecutive years ™️ China's machine learning platform has the largest market share. He has been selected into CB insight global Unicorn list and the most promising AI company list for two consecutive years. Selected into Gartner 2020 top ten strategic technology trends report as global AutoML representative manufacturer).

    My achievements during the fourth paradigm period:
    · 2 AI product interface designs won 2021 if design award;
    · Led the team to obtain 83 design patents in the field of artificial intelligence;
    · The epidemic deduction system designed for the Ministry of industry and information technology of the people's Republic of China was commended by the Ministry of industry and information technology;

    Design philosophy: leave the complexity of the system to the designer rather than users.

Design’s value in commercialization of artificial intelligence

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Session C11
Meeting room Undetermined
Time 11/19 09:00-12:00
Type Workshop
Language Mandarin
Direction Design Thinking
keynote content
Content Introduction

By improving the value of artificial intelligence through design, we can help the rapid development of intelligent economy. The artificial intelligence industry has become a key project in the world business development, which also means that the world is changing faster than ever. We are faced with massive data, information, ideas and solutions, and our rights are gradually transferred to the market and algorithms. We are faced with the transition from "listening to our own inner voice" to "listening to the opinions of algorithms". In the future market, unconscious but highly intelligent algorithms may soon know themselves better than us.
As a designer, what basic principles of artificial intelligence do we need to master? What effective practice cases can we learn from? Our role in the future? What is the future design we can expect? As an international leading artificial intelligence platform and technology service provider, the fourth paradigm has won IDC marketscape for three consecutive years ™ China's machine learning platform has the largest market share. He has been selected into CB insight global Unicorn list and the most promising AI company list for two consecutive years. Selected as one of Gartner's top ten strategic technology trends in 2020 and reported as a global representative of automl), the company will share its best practice of AI products in many industries through the design process of many commercial projects such as automatic machine learning product hypercycle ml and epidemic deduction system project, and provide a design course combining theory with practice. Help you quickly understand and start the full link design of AI products.
Subject content:
1. Basic principle and value of artificial intelligence machine learning technology
1.1 basic principles of machine learning
1.2 a four step machine learning methodology for everyone
1.3 business value of machine learning
2. Design challenges of enterprise diversification based on "human machine scene"
2.1 individual factors: complex roles and diverse role needs
2.2 system factors: private deployment does not support burying points, and enterprise user feedback is difficult to collect
2.3 scenario factors: large differences in industry attributes and huge project demand
3. New design opportunities under artificial intelligence technology
3.1 the value of interaction design in the field of artificial intelligence: defining new jobs
3.2 the value of visual design in the field of artificial intelligence: return the sense of control to human beings
3.3 the value of brand design in the field of artificial intelligence: the whole chain of enterprise service
3.4 artificial intelligence technology benefits the people and contributes to anti epidemic
4. Ability requirements of designers in the field of artificial intelligence

Structure and Agenda

1、Workshop introduction: introduce the objectives and structure of the workshop
2、Principle introduction: the basic principle and value of machine learning technology
3、Design method: expound the challenge and effective design method of artificial intelligence design
4、Case analysis: deeply analyze the best practice cases of enterprises, and reflect the commercial value of artificial intelligence design
5、Practice time: transform your business into machine learning solvable problems, business model canvas, experience red line
6、summary

Target Audience

1、Intermediate interaction designer
2、Primary product manager, design manager
3、AI practitioners and people interested in AI

Participants Benefit

1、Understand the basic principles of artificial intelligence machine learning technology
2、Master the design method of real scene AI system
3、Explore the multi design form and trend of AI system
4、Opportunities and challenges of discovery design in the field of artificial intelligence technology

video introduction
自动机器学习产品HyperCycle ML
Sage Knowledge Base
Work Case
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  • Sage HyperCycle ML
  • Sage AIOS Enterprise level AI operating system
  • Sage Knowledge Base
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