Speakers
Daniel Zhou
Tech Talks (Day 2-3)
Founder & CEO
Lanma Technology

Zhou obtained Bachelor's and Master's degree in Computer Science at Shanghai Jiao Tong University. In 2002, he has won the ACM International Collegiate Programming Contest World Championship, breaking the record of zero championships for Asian teams in this international competition.

In 2006, he joined Google’s headquarters in the U.S., where he managed the optimization of Chinese website search quality. After Google, he has served as R&D director and CTO at companies including Alibaba Cloud, MediaV, YITU Technology and Cyclone RPA.

As a serial entrepreneur for a decade, he served as the 10th employee at YITU Technology and later as the CTO of Cyclone RPA. Zhou have spearheaded numerous successful projects and delivered impactful solutions in the realms of artificial intelligence, big data, and enterprise services.


Event Introduction
Tech Talks (Day 2-3)
 · 06/26 (Day 2)
Reimagine Food
4.2H - Silk Road Hall
The Dawn of AI in the F&B Consumer Market
10:00
AI Agent: The New Team Member Evolving at AI Speed

Many people still imagine AI primarily as a tool to replace repetitive tasks in daily operations or as text-based interactions using large language models. They believe AI's application in the B2B sector is limited to understanding professional knowledge. However, AI Agents are set to overturn this perception. Imagine your brand equipped with an intelligent AI Agent. It not only integrates into your organization's operations like a dedicated team member but also acts as a diligent apprentice, observing and learning how experts solve complex problems, building a professional knowledge base, and evolving autonomously. In specific scenarios, it can rapidly understand, plan, and execute tasks.

Link to agenda
Tech Talks (Day 2-3)
 · 06/26 (Day 2)
Reimagine Food
4.2H - Silk Road Hall
The Dawn of AI in the F&B Consumer Market
11:20
[Panel Discussion] From Data to Copyright: The Real-World Challenges of AI Applications

The double-edged nature of AI applications presents numerous challenges for businesses deploying AI. For instance, when using AI algorithms to drive personalized marketing, there is a risk of reinforcing data biases or infringing on consumer privacy. Similarly, AI-generated creative content might raise copyright infringement issues. To overcome these real-world challenges and maximize AI's potential, food companies must work closely with data scientists and AI solution providers.

Link to agenda