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06 May 2026 | 06.00 PM Onwards
JW Marriott, Aerocity, New Delhi
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Overview

As enterprises transition from AI experimentation to full-scale operational reality, a fundamental tension has emerged, balancing innovation velocity with uncompromising data sovereignty.

For technology leaders across Indian enterprises, the challenge is no longer simply building AI models. The real challenge lies in ensuring intelligence can operate anywhere while data remains secure, governed, and compliant.

Connexions, an exclusive leadership evening hosted by Cloudera in association with StrategINK, brings together a curated group of senior technology decision-makers to explore the next phase of enterprise AI architecture.

At the heart of the discussion is the shift toward Architectural Autonomy, paradigm where compute is decoupled from storage, enabling organizations to move intelligence to where data resides rather than moving data itself.

This “Cloud Anywhere” approach empowers enterprises to unlock AI mobility across on-prem, hybrid, and multi-cloud environments, while maintaining complete control over governance, compliance, and data sovereignty.

Through keynote insights, peer dialogue and an interactive open forum, the evening will explore how enterprises can build a future-ready data architecture designed for agility, scale, and trust.

Why Attend?

As organizations accelerate their AI adoption journey, leaders must navigate a complex intersection of data governance, hybrid cloud environments, and scalable architecture.

Connexions offer a focused leadership dialogue designed to help CXOs rethink the foundations of their AI and data strategy.

Reconcile Innovation with Data Sovereignty

Understand how enterprises are harmonizing strict data governance with AI innovation, ensuring that intelligence can operate across environments while sensitive data remains protected and compliant.

Architect AI Without Infrastructure Constraints

Discover how a Cloud Anywhere architecture enables enterprises to decouple compute from storage, allowing AI workloads to run wherever data resides.

Learn from Peer Leadership Experiences

Engage with a curated group of CXOs and industry leaders navigating similar challenges across BFSI, pharma, telecom, and large digital enterprises.

Simplify Data Mobility and Governance

Explore strategies to overcome data gravity challenges while maintaining unified governance, security, and zero-trust policies across hybrid and multi-cloud environments.

Shape the Next Era of Enterprise AI

Move beyond theory and explore practical architectural approaches for modernizing legacy data estates using containerized and Kubernetes-native platforms.

Build Strategic Relationships

With attendance limited to 30 senior executives, the evening enables meaningful conversations, deeper peer exchange, and high-value networking.

Agenda

6:30 PM - 7:00 PM

Arrivals & Networking

Registration | Hi-Tea | Networking

7:00 PM - 7:25 PM

The Visionary Keynote

Unbound Intelligence: Why a modular "Anywhere" architecture is the prerequisite for scaling AI in regulated industries.

7:25 PM – 8:10 PM

The Leadership Panel

The Sovereignty Balance: Peer perspectives on engineering data mobility while maintaining 100% control and compliance.

  • Workload-First vs. Cloud-First: Why the next era of Enterprise AI requires moving compute to the data, rather than the other way around.
  • The Modular Advantage: How decoupling storage and compute solves the "gravity tax" and operational complexity.
  • Governance Anywhere: Maintaining a single pane of glass for security and zero-trust across hybrid and multi-cloud environments.

8:10 PM – 8:30 PM

Interactive Open Floor

An open audience dialogue addressing modernizing legacy data estates, adopting Kubernetes-native architectures, and preparing enterprise platforms for the next generation of AI workloads.

8:30 PM Onwards

Cocktails & Curated Networking Dinner

Who Should Attend

This invitation-only gathering is designed for senior enterprise decision-makers responsible for shaping data, AI, and digital transformation strategies.

Ideal participants include:

Chief Information Officers (CIOs)
Chief Data Officers (CDOs)
Chief AI Officers (CAIOs)
Heads of Data & Analytics
Heads of Artificial Intelligence / Machine Learning
Cloud & Platform Engineering Leaders
Data Governance & Security Leaders
Digital Transformation Leaders
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