Redefining Design with AI: The Intelligent Evolution of Design Practice
Speaker
  • Fang Xumei Fang Xumei Alibaba Cloud Experience Design Expert

    With over a decade of experience in enterprise (B2B) and government (B2G) product experience design, Xumei specialises in crafting user-centered strategies for complex digital transformation initiatives. Her work applies systems thinking to address intricate design challenges across large-scale public sector projects.
    In the past three years, Xumei has played a pivotal role in driving intelligent transformation across key sectors such as government, finance, and energy. Her work spans foundational model architecture, industry-specific application innovation, and the implementation of commercial solutions, creating a comprehensive design framework that connects technology, real-world scenarios, and business value. Her research has been published at CHI, the premier international conference on Human-Computer Interaction, offering both theoretical models and practical benchmarks for the industry’s intelligent evolution.

    Design Philosophy: Using design as a lever to reshape the paradigm of public and enterprise services in the era of intelligence.

Redefining Design with AI: The Intelligent Evolution of Design Practice

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Session B1
Meeting room 301A
Time 11/01 09:00-12:00
Type Workshop
Language Mandarin
Direction Design Thinking
keynote content
Content Introduction

As large language models like Tongyi Qianwen and DeepSeek continue to advance rapidly, and standards such as MCP interfaces mature, the accessibility of intelligent tools is transforming how industries operate, and how design work is conceived and executed. AI is reshaping content creation and human-machine collaboration in design at an unprecedented pace.

What began as an exploratory frontier has now become a competitive landscape. AI is no longer just a buzzword in tech circles—it’s a powerful tool and collaborative partner on the designer’s workbench. Designers, as the bridge between technology and users, must embrace this shift by integrating AI into their workflows to enhance both productivity and creative potential. This marks not just a change in tools, but a fundamental evolution in design thinking and processes.

This workshop addresses key challenges in design consulting, focusing on how to effectively support the intelligent transformation of traditional industries through AI integration. Through a structured case study, we will introduce a practical methodology for industry intelligent transformation focused design advisory. The workshop will also feature an immersive experience with intelligent tools under the theme of Design x AI, designed to inspire participants to rethink the boundaries of design roles and explore new innovation strategies in the era of large language models.

Benchmark Case Studies: In-Depth Analysis
1. Practical Cases in the Intelligent Evolution of Design Work
a. Scenario Focus: Introduces a structured approach to identifying and extracting key scenarios in the intelligent transformation of design workflows.
b. Best Practices: Drawing from representative design cases, this section analyses how designers make informed technology choices, adapt work models, and implement changes that lead to measurable outcomes in intelligent design environments.

2. Design Advisory on Industry Intelligent Transformation
a. Core Value: Supports traditional industries in uncovering and defining high-value intelligent scenarios, enabling the practical application of large language model capabilities in real-world business contexts.
b. Key Outcomes: Based on extensive experience in design consulting, a replicable methodology for intelligent transformation has been developed and applied across sectors such as energy and utilities. These practices have been featured in major media outlets, including CCTV News, and have demonstrated proven effectiveness in real-world deployments.
c. Technical Advancements: By deeply understanding AI technologies, designers have created intelligent tools that significantly enhance the efficiency and quality of consulting work. These tools enable scalable, intelligent upgrades to design workflows.

Structure and Agenda

1、Introduction to the workshop background and objectives
2、Presentation of design philosophy and approaches to intelligent transformation

3、Case study showcase: Design Advisory on Industry Intelligent Transformation
4、Interactive session: Simulated design consulting scenarios and immersive experience with intelligent tools, inspiring participants to rethink the boundaries of design roles and explore new innovation strategies in the era of large language models
5、Sharing and demonstration of practical outcomes
6、Open Q&A and networking

Target Audience

1、UX/UI designers
2、Product managers in B2B industries
3、Professional working with data-driven products in vertical sectors
4、Individuals interested in large language model technologies and their impact on design

Participants Benefit

1、Gain strategic insights and practical approaches for intelligent transformation in the design industry in the era of large language models

2、Learn a structured methodology for identifying and reconstructing high-value intelligent scenarios across industries
3、Experience AI-powered design tools firsthand and understand the complete workflow from scenario identification to implementation of intelligent transformation

Work Case
  • Design Advisory on Industry Intelligent Transformation – Scenario Design and Evaluation
  • Design Advisory on Industry Intelligent Transformation – Intelligent Tools
  • Design Advisory on Industry Intelligent Transformation – Methodology
  • Transformation Stages of Traditional Industries
  • Practical Applications in AI-Driven Design Work
  • Extracting Scenarios in AI-Driven Design Work
Guess You Like
  • Design Advisory on Industry Intelligent Transformation – Scenario Design and Evaluation 16
  • Design Advisory on Industry Intelligent Transformation – Intelligent Tools 26
  • Design Advisory on Industry Intelligent Transformation – Methodology 36
  • Transformation Stages of Traditional Industries 46
  • Practical Applications in AI-Driven Design Work 56
  • Extracting Scenarios in AI-Driven Design Work 66
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