Industrial AI and Autonomous Operations

Chairpersons welcome and opening remarks.

A detailed walkthrough from an industrial operator on how robotics, MES systems, computer vision, predictive maintenance analytics and real‑time controls are combined into a single, coherent architecture. This session explores the practical steps involved in unifying legacy systems with new AI‑driven components, the organisational changes required, and the technical design patterns that support dependable autonomy in high‑pressure industrial environments.

Manufacturing, energy and logistics leaders discuss how they are building real‑time operational visibility across their facilities. Topics include sensor integration, data fabrics, edge analytics and the shift from periodic reporting to live decision‑making. The panel focuses on the capabilities required for achieving partial or full autonomy in factories and industrial networks.

A technical demonstration of real industrial deployments where robotics systems and MES platforms operate as one synchronised environment. This session covers integration models, data orchestration, industrial networking requirements and lessons learned from deploying autonomous workcells that support continuous, coordinated production.

A case study of a facility using a digital twin not only as a simulation tool but as an active decision engine. The speaker explains how real‑time data streams are ingested, how the twin influences operational parameters in live processes, and how this shift is enabling faster optimisation, safer operating states and reduced downtime.

This session dives into how synthetic data is generated and validated for training industrial AI models. It covers the use of simulation environments, domain randomisation, data augmentation and quality assurance steps required to produce reliable datasets for autonomous systems operating in factories, warehouses and energy sites.

This session explores linking PLM systems with operational twins, closing design‑to‑operation feedback loops, and ensuring that engineering decisions translate into improved real‑world performance.

A city authority explains how urban data platforms integrate signals from transport, energy, public safety, environmental monitoring and infrastructure assets. Attendees gain insight into how real‑time coordination can enhance resilience, congestion management and city‑wide operational efficiency.

A technology provider demonstrates how digital supply chain platforms create the data consistency and traceability needed for autonomous operations. The session covers sensor‑driven asset tracking, real‑time inventory states, predictive logistics and how digital workflows enable closed‑loop control across industrial networks.

How to move from monitoring‑driven operations to systems capable of automated or autonomous response. This session examines the current maturity of closed‑loop control, cross‑sector data sharing and the operational safeguards required for self‑managing infrastructure.