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Production-Ready Enterprise AI Architecture

Hosted by Dheeraj Saxena

Mon, Jun 22, 2026

4:30 PM UTC (45 minutes)

Virtual (Zoom)

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Enterprise AI Architecture Standards: Architecting AI For Global Enterprises
Dheeraj Saxena
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What you'll learn

Prevent AI systems sprawl at scale

Understand how AI architecture standards replace sandbox heroics with specific, enforceable production controls.

Walk through a real production failure

Take a real failure apart and see which principle would have caught it before it ever shipped.

How to use AWS GenAI Lens as the source of AI standards

Use the AWS GenAI Lens (Azure / GCP optional) as your universe — your catalogue makes each best practice enforceable.

This is NOT a how-to-build-agent session!

Workshop is for Senior Professionals facing challenges in Enterprise Deployment. Likely Managers of AI Developers.

Why this topic matters

Scaling AI across an enterprise takes more than a single, pristine project. It requires an enterprise-grade AI architecture built around robust standards and enforceable controls that allow central IT teams to seamlessly run AI across multiple brands and business units. After all, optimizing 50 individual projects in isolation isn’t a strategy; it’s a maintenance and auditing nightmare in waiting.

You'll learn from

Dheeraj Saxena

Ex-IBM, TCS, Wipro. Executive Architect | 25+ Years Scaling Customer Data, AI & MarTech Solutions

25+ years building enterprise data platforms and intelligent customer systems, with the last 5 years focused on Generative AI solutions and classic ML platforms. Former senior consultant and advisor at IBM, Tata Consultancy Services, and Wipro.

Specialising in Enterprise AI engineering and AI-ready data architecture — including RAG systems, Agentic workflows, customer data platforms, semantic modelling, AI governance, evaluation pipelines, and MLOps.

Grounded in real enterprise delivery across Retail, Insurance, E-commerce, and Automotive verticals.

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