Conference Description
Key Takeaways
- Multi-city forum examining artificial intelligence applications across manufacturing, supply chain and industrial operations
- Sessions address digital twins, industrial data fabrics, robotics, autonomous operations and AI-enabled manufacturing execution systems
- Designed for senior executives and technology leaders in manufacturing, energy, chemicals, oil and gas, and logistics sectors
- Explores practical challenges including cybersecurity in AI environments, energy optimisation and workforce augmentation
- Takes place across Tokyo, Bangalore and Singapore in July and August 2026
Introduction
The ARC Industry Leadership Forum Asia convenes industrial executives and technology specialists to examine how artificial intelligence is reshaping factory floors, supply networks and critical infrastructure. Scheduled for July and August 2026 across three major Asia-Pacific cities, the forum arrives at a moment when manufacturers face mounting pressure to extract measurable value from AI investments while navigating integration complexities, workforce transitions and evolving cybersecurity threats.
Industrial organisations have moved beyond initial AI experimentation into deployment phases where distinguishing genuine capability from vendor hyperbole becomes essential. The forum positions itself as a venue for candid assessment of what AI can realistically deliver in operational environments, drawing on implementation experiences from companies operating refineries, discrete manufacturing plants, chemical facilities and logistics networks.
About the ARC Industry Leadership Forum Asia
ARC Advisory Group organises this annual gathering as part of its broader Industry Leadership Forum series. The 2026 Asia edition spans three locations: Tokyo, Bangalore and Singapore. Each venue hosts keynote presentations, executive panel discussions and technical sessions structured around common themes while allowing regional perspectives to emerge.
The format emphasises peer-level exchange between industrial end users and technology providers. Previous editions have attracted participants from major industrial technology vendors including ABB, Emerson, Honeywell, Rockwell Automation, Schneider Electric, Siemens and Yokogawa, alongside enterprise software companies such as SAP, Oracle and IBM. Systems integrators and consultancies including Accenture, Infosys and Tata Consultancy Services have also participated, reflecting the cross-functional nature of industrial AI initiatives.
Industrial AI Applications Under Examination
The programme addresses AI deployment across multiple operational domains rather than treating artificial intelligence as a monolithic technology category. Manufacturing execution systems represent one focal area, where AI augments traditional MES functionality through predictive scheduling, quality anomaly detection and real-time process optimisation. These capabilities build upon decades of manufacturing IT investment while introducing new requirements for data architecture and model governance.
Digital twin technology features prominently, with sessions exploring how AI enhances simulation fidelity and enables twins to move from descriptive to predictive and prescriptive functions. The relationship between digital twins and industrial data fabrics receives particular attention, as organisations grapple with unifying operational technology data, enterprise systems and external sources into coherent analytical foundations.
Asset performance management represents another significant thread. AI-driven predictive maintenance has matured considerably, yet many organisations struggle to scale pilot projects into enterprise-wide programmes. The forum examines barriers to scaling, including sensor infrastructure gaps, maintenance workflow integration and the challenge of building reliability engineering capabilities alongside data science functions.
Supply Chain Intelligence and Operational Resilience
Supply chain management sessions address how AI supports demand sensing, inventory optimisation and logistics coordination. Recent years have demonstrated the fragility of extended supply networks, prompting renewed interest in technologies that improve visibility and enable faster response to disruptions. AI applications in this domain range from demand forecasting models that incorporate external signals to autonomous planning systems that continuously rebalance inventory positions.
Operational resilience emerges as a connecting theme across multiple programme tracks. Whether discussing manufacturing flexibility, supply network redundancy or infrastructure reliability, presenters examine how AI contributes to organisational capacity for absorbing shocks and maintaining continuity. This framing reflects broader industrial priorities shaped by pandemic disruptions, geopolitical tensions and climate-related operational challenges.
Energy Management and Sustainability Applications
Energy optimisation represents a domain where AI delivers quantifiable returns while supporting sustainability objectives. Industrial facilities consume substantial energy, and AI-driven optimisation of heating, cooling, compressed air and process heating systems can yield meaningful efficiency gains. The forum explores these applications alongside broader discussions of AI’s role in decarbonisation strategies.
Data centre energy consumption receives specific attention, reflecting the irony that AI workloads themselves demand significant power. As manufacturers deploy more sophisticated AI models, they must balance computational requirements against energy costs and emissions targets. Sessions examine approaches to optimising AI infrastructure alongside production systems.
Workforce Augmentation and Autonomous Operations
The concept of the digital connected worker addresses how AI supports human operators rather than simply replacing them. Applications include AI-assisted troubleshooting, augmented reality guidance for maintenance tasks and intelligent systems that surface relevant information based on operational context. These technologies respond to workforce challenges including skilled labour shortages and the need to capture institutional knowledge from retiring workers.
Autonomous operations represent a more advanced trajectory, where AI systems assume greater decision-making authority. The forum examines progress toward autonomous plant operations, including the technical, organisational and regulatory considerations involved. Robotics integration features within this discussion, particularly collaborative robots that work alongside human operators and autonomous mobile robots transforming intralogistics.
Cybersecurity Considerations for AI-Enabled Operations
Deploying AI in operational technology environments introduces cybersecurity considerations that differ from traditional IT security challenges. AI systems may create new attack surfaces, while adversarial machine learning techniques pose emerging threats to model integrity. The forum addresses these concerns through sessions examining security architectures for AI-enabled industrial systems.
Participation from cybersecurity specialists including Fortinet and Trend Micro in previous editions reflects the importance of this topic. As AI systems gain authority over physical processes, the consequences of compromise extend beyond data breaches to potential safety and operational impacts.
Who Should Attend
The forum targets senior decision-makers responsible for technology strategy, operations and digital transformation initiatives. Chief information officers and chief technology officers evaluating AI platforms and integration approaches will find relevant content, as will operations executives accountable for manufacturing performance, supply chain effectiveness and asset reliability.
Plant managers and engineering leaders implementing AI projects at facility level represent another core audience segment. The programme balances strategic perspectives with practical implementation discussions relevant to those managing day-to-day operations. Industries represented typically include discrete and process manufacturing, oil and gas, chemicals, energy and utilities, and logistics.
Regional Significance
Hosting the forum across Tokyo, Bangalore and Singapore acknowledges the Asia-Pacific region’s importance in global manufacturing and its distinct industrial AI adoption patterns. Japan’s manufacturing sector brings deep automation expertise and particular approaches to human-machine collaboration. India’s rapidly expanding industrial base and technology services sector offer different perspectives on AI deployment. Singapore’s position as a regional hub for advanced manufacturing and supply chain operations provides yet another vantage point.
This multi-city format enables participants to engage with regional peers while accessing consistent thematic content, supporting both local networking and cross-border knowledge exchange.