Agentic AI on AWS

Executive Dinner

March 31, 2026 - San Francisco, CA

Visionaries

DineshKumar Lakshmanan IPSY
DineshKumar Lakshmanan

Sr Director of Engineering

IPSY

About Me

DineshKumar Lakshmanan is Senior Director of Engineering at IPSY, leading the Core Services Engineering organization and overseeing mission-critical platforms including subscription management, commerce infrastructure, inventory, personalization, and ERP integrations. He drives technology transformation, platform modernization, and global team growth across onshore, nearshore, and offshore models. DineshKumar has led high-impact initiatives such as the seamless integration of BoxyCharm and a company-wide operational efficiency program, achieving $2M+ in cloud cost savings through Kubernetes, serverless infrastructure, and auto-scaling strategies. Previously at PayPal, he scaled the global payments platform to support 120M+ daily transactions and implemented enterprise-wide data governance and architectural standardization. Known for architecting scalable, high-volume platforms and building high-performing engineering teams, Dinesh aligns technology strategy with business objectives, drives operational excellence, and delivers measurable ROI while fostering a culture of innovation, collaboration, and resilience.

March 31, 2026

Agenda

All times Pacific Time

5:30 PM - 9:00 PM

Agentic AI on AWS

Agentic AI introduces a new class of autonomous systems capable of reasoning, acting, and executing with minimal human intervention. The question for today’s leaders is no longer whether the technology works, but how it can be applied responsibly within real business, data, and governance constraints.

This private executive engagement will bring together senior technology leaders for an open, peer-driven conversation on the practical realities of adopting Agentic AI on AWS. Mission, a CDW company, experts will share firsthand perspectives from organizations actively building and operating advanced AI systems, while attendees exchange experiences around evaluating frameworks, securing data pipelines, and measuring enterprise impact.

Over a curated reflection, the discussion will focus on cutting through the hype to examine current platform capabilities, implementation lessons, and the strategic considerations required to translate autonomous AI into scalable, secure, and measurable business value.


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