Formal re-launch of ITAP. Celebratory performance. GOH address. Welcome remarks key organising party leaders. Photo opportunities

Rockwell is the most recent addition to the list of WEF Global Lighthouses in Singapore. Mr Yeoh Pit Wee will pull back the curtain on the journey of deploying digital and AI solutions that have delivered measurable results in labour productivity, defect reduction and time to competency for workers.

Coca-Cola’s concentrate manufacturing plant in Singapore achieved WEF Global Lighthouse status in 2024. Mr Lam Zheng Hung will unpack how AI-powered scheduling, robotics and digital tools enabled significant increase in throughput and labour productivity, whilst reducing inventory shortages and GHG emissions. Discover how Coca-Cola Singapore is emerging as a regional leader in workforce transformation, using its global digital academy and cross-site exchange programmes to reimagine roles and equip employees at every level for the future of work.

Whether you’re an MNC or an SME, the path to AI-enabled operations raises the same questions — where to start, what to prioritise, and how to scale with confidence. This panel brings together Coca-Cola, (AI Adopter – SME), (AI Solution Provider) SMF, as well as senior management from EDB and EnterpriseSG, for a candid discussion on the real challenges companies face; as well as how Singapore is built to enable companies to overcome these challenges to achieve AI-enabled transformation.

The discussion will span Physical AI, industrial cybersecurity, digital twins, simulation, advanced materials, Industrial IoT, predictive maintenance and autonomous systems, providing first-hand insights into how these capabilities are converging to shape the factories of the future.

Unlike digital AI, Physical AI must learn from interactions with the physical world. Building capable robots therefore requires robust pipelines for collecting, generating, managing and deploying robot data across different environments and applications.
This panel will examine the emerging ecosystem required to train and scale embodied AI. Panellists will discuss topics such as synthetic data, simulation, robot foundation models, vision-language-action models, domain-specific datasets, continuous learning and deployment in industrial settings. The discussion will also explore how technology providers, researchers and end-users can work together to build data flywheels that continuously improve robot intelligence while addressing the practical challenges of real-world deployment.

Sharing of roadmap and problem statements

Sharing of potential solutions to address problem statements

Summary of the day’s key insights and commitments, information about Additive Manufacturing program of events the following day