Overview
Scaling Intelligent Industrial Operations at ABB Accelerator 2026
HCLTech is proud to participate in ABB Accelerator June 2026, where global industry leaders converge to shape the future of autonomous, AI-powered operations. As ABB advances its vision of software-defined automation and intelligent industrial ecosystems, HCLTech brings a differentiated perspective on scaling AI from experimentation to enterprise-wide impact.
Drawing on insights from The AI Impact Imperatives 2026, HCLTech addresses a critical industry challenge: while AI adoption is nearly universal, many organizations struggle to translate it into measurable operational outcomes.
At the intersection of IT and OT, HCLTech enables ABB and its customers to accelerate Agentic AI and Physical AI adoption—modernizing data and application foundations, embedding Responsible AI and unlocking autonomous decision-making across industrial environments.
Through this collaboration, HCLTech is helping power the next generation of resilient, intelligent and self-optimizing operations aligned with ABB’s industrial innovation agenda.
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Speaking Sessions
Agentic Product Life Cycle Management Orchestrator for Engineering Data
This session explores how industrial enterprises can address the growing complexity of engineering data by adopting an AI-enabled agentic orchestration approach. It highlights HCLTech’s perspective on integrating AI-driven agents, a unified engineering data fabric and orchestration layers to enable seamless collaboration across PLM, ALM, ERP and MES systems. The session demonstrates how this approach accelerates decision-making, improves productivity, mitigates risks and lays the foundation for autonomous engineering operations in a scalable digital ecosystem.
Head of Digital Design Practice, Europe and Japan, HCLTech
Driving IT Operations with Generative AI, Agentic and Human-in-Loop
This session explores how enterprises can transform IT operations by leveraging generative AI, agentic AI and human-in-the-loop models to enable intelligent, autonomous service management. It highlights HCLTech’s AIForce.Ops platform, integrating AI-driven agents, workflow orchestration and enterprise systems to automate incident resolution, enhance user experience and improve operational efficiency. The session demonstrates how this approach reduces manual effort, accelerates response times, optimizes costs and enables scalable, proactive IT operations across complex multi-cloud environments.
Enterprise Architect and Global Lead for GenAI and Agentic AI, HCLTech
Sustainable Transformations: From Installed Assets to an Optimized Portfolio
This session explores the shift from asset-level optimization to portfolio-wide lifecycle energy management across the installed base. Digital intelligence makes the full estate — including the load conventional monitoring misses — visible and reportable, while emerging AI-driven insight turns that into portfolio decisions that accelerate decarbonization, improve efficiency and deliver measurable outcomes at scale.
Global Head, Cleantech and Sustainability Business, HCLTech
Featured Case Studies
Upgrading Broadcom’s DX NetOps solution reduced risk and lowered the chance for operational blindness for the client
HCLTech designed and implemented a new global manufacturing execution system
HCLTechがビジネスプロセスの合理化を支援し、大幅なコスト削減を実現
A global energy equipment company, growing rapidly in HVDC & grid domains, needed scalable expertise in grid controls, systems engineering, V&V, NPI, RAMS, project control and substation engineering
Implemented HCLTech Aftermarket Cloud to standardize field service, cut engineer calls 72%, lift service revenue 57% and boost satisfaction
Turning workshop ideas into a structured pipeline delivering measurable savings, faster decisions and factory impact.
Trends and Insights
From digital twins to predictive maintenance, discover how AI optimizes operations, boosts quality and enhances supply chain resilience for smarter factories
When AI enters physical environments, intelligence moves into action, enabling enterprises to operate smarter, faster and more autonomously
Autonomous manufacturing can be achieved through a structured journey built on foundational engineering, converged data and human-led AI
Hari Sadarahalli and Robert Parker explore how enterprises are navigating a disruptive decade through Agentic AI, workforce readiness and smarter, more resilient supply chains
Physical AI redefines enterprise value by embedding intelligence into real-world operations, turning products, workflows and environments into interconnected, autonomous value engines.
Listen to HCLTech CEO and MD C. Vijayakumar talk about the emerging trend in the industry - Physical AI.