​AI for Manufacturing 2025 - From Pilot to Plant-Wide Impact

​🔓Unlocking the long-overdue potential of data and AI for manufacturing

​Hosted by TDengine

​Why Attend?

​✨ Learn real-world AI and analytics use cases that slash scrap, shorten cycle times, and lift OEE.

​🤝 Connect with investors, founders, OEM tech leads, and researchers who are building the next generation of smart factories.

​👀 Watch live demos of AI process-engineering tools that turn proof-of-concept success into plant-wide deployment.

​🎤 Hear seasoned operators, investors, and end-users share their challenges, lessons learned, and vision for the future.

​🍖 Enjoy complimentary BBQ and craft beverages while you network.

​📢Panelists

​Bikui Chen – Investor, Partner at Liuhe Ventures

​Suhas Umesh – Design / System Engineer at Applied Materials

​Jeff Tao – Founder & CEO of TDengine, serial entrepreneur

​Steven Gao - Founder & CEO of IndustrialMind.ai, ex-Tesla digital transformation lead

​ Who Should Attend?

• ​🏭 Manufacturing executives & plant managers

• ​💻 Data, OT, and IT leaders driving digital transformation

• ​💰 VCs & corporate strategists exploring industrial AI

• ​👨‍💻 Startup founders & engineers building factory solutions

• ​🎓 Professors & researchers in robotics, computer vision, and smart manufacturing

​Draft Agenda

​6:00 PM

​🏷️ Check-in & open networking

​6:20 PM

​🎙️ Welcome remarks

​6:30 PM

​📊Sharing — TDengine & IndustrialMind.ai

​6:50 PM

​💡 Panel — Turning fragmented manufacturing data into plant-wide AI impact: challenges and opportunities for operators, startups, and investors.

​7:40 PM

​🍖 BBQ & extended networking 🤝

​8:30 PM

​🔚 Event close

​

​Panel Topic

In the age of AI, manufacturers face the dual challenge of making sense of fragmented, underutilized data and addressing diverse operational needs across production, quality, and supply chain. How will the industry chart its path toward AI adoption under these conditions, and what practical entry points can drive the first wave of transformation? What trends are emerging as manufacturers experiment with AI—from predictive maintenance and process optimization to new forms of human–machine collaboration?

​At the same time, investors are paying close attention to the sector, particularly as reshoring and regionalization gain momentum and elevate the role of resilient, data-driven manufacturing. Where do they see the greatest potential for value creation, and how are they evaluating startups in this space? Finally, what beachheads and pain points are today’s industrial AI startups working on, and how can they scale solutions that bridge the gap between promising pilots and plant-wide impact?

​About TDengine

​TDengine is a leading time-series data platform for IoT and Industrial Internet applications. It offers high-performance, cloud-native solutions for managing massive time-series data, powering use cases such as industrial monitoring, energy management, and predictive maintenance.

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​About IndustrialMind.ai

​IndustrialMind.ai is the world’s first AI Process Engineer, founded by ex-Tesla manufacturing AI leaders. The platform automates process engineering tasks—from design to monitoring and root-cause analysis—helping global manufacturers improve yield, efficiency, and cost.