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The next big step towards AI
Overview:
Artificial Intelligence has reached a decisive inflection point for large enterprises. What began as experimentation and isolated pilots is now rapidly becoming a determinant of long-term competitiveness, resilience, and relevance. As AI systems increasingly influence core decisions, customer experiences, and operational efficiency, the responsibility on large ecosystem players has expanded from adoption to stewardship.
Organizations that act now by embedding AI into operating models, governance structures, and value chains will shape industry standards and unlock sustained advantage. Those that delay risk fragmentation, inefficiency, and strategic irrelevance.
An invitation-only boardroom dialogue for CXOs shaping India’s largest enterprises. This closed-door roundtable is designed to move beyond hype and pilots and instead examine the shared responsibility of ecosystem leaders in driving systemic, enterprise-wide AI transformation securely, responsibly, and at scale.
HCL Tech brings to the table its role as a global systems integrator delivering fullstack AI solutions at the forefront of enterprise AI adoption, translating advanced AI capabilities into scalable operating models, sovereign-ready architectures, and measurable business outcomes.
Key Areas of Discussion:
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 Modernization
Balancing innovation velocity with regulatory and data sovereignty expectations
Why ecosystem leaders must shape standards, not wait for them.
Agenda
Event Schedule
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"