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Manufacturing Reimagined: Building the AI-First Enterprise with Industry 4.0 and Agentic AI
Overview:
Manufacturing is entering a new era where Artificial Intelligence is becoming central to enterprise transformation. As organisations move beyond Industry 4.0, intelligent data platforms, cloud-native architectures, and Agentic AI are redefining how products are designed, factories operate, supply chains respond, and business decisions are made.
To explore what it takes to build an AI-first manufacturing enterprise, The Times Group, in association with NTT DATA, is convening an exclusive Executive Think Tank for a select group of India’s senior manufacturing technology leaders.
How can manufacturing leaders unlock the full value of enterprise AI?
Strategic Priorities for AI in Manufacturing
As AI adoption accelerates across manufacturing, technology leaders are navigating a new set of strategic priorities:
How can manufacturers build trusted AI-ready industrial data platforms?
What does it take to move AI from pilots to enterprise-wide adoption?
How can organisations successfully converge IT and OT for intelligent operations?
What role will Agentic AI play in engineering, production, and supply chains?
How should enterprises embed governance, cybersecurity, and responsible AI into transformation?
How are leading manufacturers preparing for autonomous, AI-driven operations?
To enable a focused exchange on these priorities, The Times Group, in association with NTT DATA, is bringing together an invitation-only Executive Think Tank for a candid discussion among senior manufacturing technology leaders.
Key Discussion Themes:
Building AI-ready industrial data platforms
IT/OT convergence for intelligent manufacturing
AI-first enterprise operating models
Industrial copilots and Agentic AI
Smart factories and connected operations
Digital engineering and digital twins
Responsible AI, governance & cybersecurity
Scaling AI from pilots to enterprise-wide adoption
Autonomous supply chain orchestration
Building the AI-first manufacturing enterprise
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Time
Session
17:00 – 18:00
Registration
18:00 – 18:05
Opening: Setting the Context section: The Inflection Pointfor Enterprise AI
“• AI as a structural shift, not a technology upgrade • Why large enterprises now carry disproportionate responsibility in setting benchmarks fortrust, scale, and governance • Framing the outcomes forthe discussion • AI adoption:the question before us is not why or when,the real question is how • Journey towards Digital Transformation has enriched & enabled the Data paving a transition the Knowledge Enterprises • Defining the contours of the AI journey, setting the expectations.”
18:05 – 18:50
Roundtable: Sovereignty, Trust & the New Enterprise Mandate: Designing AI systems that are compliant, resilient, and future-ready
“• Data moderation as a prerequisite for AI Scale: Strengthening Enterprising Data foundation through robust data lakes or federated data lakes strategies • Building resilient data platforms to accelerate adoption through Enterprise-wide Data Modernisation • Balancing innovation velocity with regulatory and datasovereignty expectations • Building trust with regulators, customers, and internal stakeholders • Why ecosystem leaders must shape standards—not waitfor them”
18:50 – 19:00
Closing Talk: From Dialogue to Direction: Defining the Path
“to AI- Native Enterprises • What enterprise leaders do next • Collective responsibility, collective advantage • Key takeaways, shared priorities, and leadership commitments”