- As global AI computing demand surges, GPU platforms are driving rack power from 40kW toward 600kW, making energy management for high-density loads the central challenge of AIDC construction. From a global market perspective, this presentation systematically reviews the portfolio of utility power, gas turbines, diesel generators, energy storage and UPS, together with regulatory constraints across regions, and analyzes the current surge, load fluctuation and power quality issues brought by high-density loads. Offering architecture selection guidance and high-availability implementation paths for AIDC energy management decisions in different markets worldwide.

-Why Physical AI matters now
-From ADAS features to perception, decision-making and closed-loop vehicle control
-The execution gap: governance, safety, and architecture
-Automotive Physical AI Scorecard
-Regional monetization and strategic implications

- How can industrial AI turn technological progress into measurable, lasting value on the factory floor? Drawing on observations and practical experience across global manufacturing, this talk explores different development and adoption paths in China, Europe and the United States, alongside the opportunities and challenges of bringing foundation models and AI agents into industrial operations. Focusing on quality improvement, equipment maintenance and production optimisation, it examines how AI can work with industrial knowledge, engineering constraints and frontline workflows, with results measured through efficiency, quality, cost and delivery. The talk also considers the data foundations, human–AI collaboration and organisational practices needed to scale beyond individual pilots, and how international technology collaboration can address local industrial needs. It offers manufacturers and industry partners a practical perspective on implementation and cooperation.

Energy storage technology is advancing rapidly, expanding from "peak shaving and valley filling" in the C&I sector to applications across a wide range of industries—EV charging stations, zero-carbon industrial parks, heavy-duty mining and construction trucks, and computing power centers. Addressing customer needs across diverse markets, especially overseas, will be a key challenge for new energy practitioners going forward.

-AI adoption in manufacturing is advancing rapidly, with vision analytics, robotics, and predictive maintenance emerging as leading application areas. The balance between robotics (and AI) vs. human involvement in manufacturing tasks continues to adapt with technological developments. The hype and investment around AI and recent developments around disciplines like Gen AI and Agentic AI has reached the peak of the hype cycle, the next wave of AI evolution is being focused on Physical AI.

- Securing Compute, Unlocking Value Through Energy Storage