Building AI Agents with Azure AI Foundry

Building AI Agents with Azure AI Foundry

https://youtube.com/embed/xqUTi9xAcmc
Brothers Jared and Lamar Rhodes explore building AI agents versus building with AI agents, using a custom World of Warcraft server as their experimental platform. They demonstrate creating AI-driven character personalities that emulate player behavior, leveraging a dockerized background client architecture designed to scale thousands of autonomous agent instances.

✅ Connect with Lamar – https://www.linkedin.com/in/lamar-rhodes-32282414/
✅ Connect with Jared – https://www.linkedin.com/in/qimata/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

Mastering Claude Code for Data Professionals – Dawn Choo

Mastering Claude Code for Data Professionals – Dawn Choo

https://youtube.com/embed/iUo7yevymEs
Dawn Choo, co-founder of So What Data and former data scientist at Meta and Patreon, provides a realistic assessment of Claude Code’s capabilities for data professionals. Drawing from extensive interviews with practitioners, she shares practical strategies for maximizing productivity with AI coding tools while setting appropriate expectations for their current limitations.

✅ Connect with Dawn – https://www.linkedin.com/in/data-dawn/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

Furniture.com’s AI-Powered Personalized Discovery with Graph Search and VLM-Enhanced Embeddings

Furniture.com’s AI-Powered Personalized Discovery with Graph Search and VLM-Enhanced Embeddings

https://youtube.com/embed/-8DtXzQlRrY
The Furniture.com team presents their AI-powered product discovery platform serving over two million products across 77 retailers. They detail their custom fine-tuned semantic search model hosted on Databricks, real-time personalization that adapts to user behavior during browsing sessions, and graph-based search with VLM-enhanced embeddings for superior furniture recommendations.

✅ Connect with Brianna: https://www.linkedin.com/in/brianna-lynn-king
✅ Connect with Hsin-Yi: https://www.linkedin.com/in/hsin-yilin
✅ Connect with Anwaar: https://www.linkedin.com/in/anwaar-msehli
✅ Connect with Yasel: https://www.linkedin.com/in/yasel-garces

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

From localhost to Real World: Engineering Production-Ready Agentic Systems – Victor Calderon

From localhost to Real World: Engineering Production-Ready Agentic Systems – Victor Calderon

https://youtube.com/embed/cwBMavL7518
Victor Calderon from Intuit breaks down the journey from prototype AI agents to production-ready systems powering TurboTax and QuickBooks. He covers critical production challenges including multi-tenancy, retry logic, timeout handling, and scalability under peak loads of 300,000 users per hour, offering practical architectural patterns for reliable agentic deployments.

✅ Connect with Victor – https://www.linkedin.com/in/vcalderon/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

From Data to Decisions: Turning Enterprise AI into Real Business Outcomes – Beverly Wright

From Data to Decisions: Turning Enterprise AI into Real Business Outcomes – Beverly Wright

https://youtube.com/embed/NsUl_hQUot0
Beverly Wright, a data science and AI veteran since 1991, draws on experience at Truist, Southern Company, and Cox Communications to address bridging the gap between enterprise AI initiatives and tangible business outcomes. She covers strategic frameworks for translating AI capabilities into real organizational decisions through her academic and industry leadership perspective.

✅ Connect with Beverly – https://www.linkedin.com/in/drbeverlywright/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

Crafting an Enterprise‑Scale Agent Mesh – Stanislav Stolpovskiy

Crafting an Enterprise‑Scale Agent Mesh – Stanislav Stolpovskiy

https://youtube.com/embed/MKQEQkGha8c
Stanislav Stolpovskiy, search and ML architect at Grid Dynamics, shares hard-won lessons from building enterprise-scale multi-agent systems. He discusses why most enterprise AI projects fail to reach production, outlines proven design principles for agent mesh architectures, and highlights what worked and what didn’t across complex agentic deployments.

✅ Connect with Stanislav – https://www.linkedin.com/in/stanislav-stolpovskiy-260755140/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

Disaggregated Intelligence: Scaling AI Agents with Dynamo and Kubernetes

Disaggregated Intelligence: Scaling AI Agents with Dynamo and Kubernetes

https://youtube.com/embed/BZbKiDDm7Jw
NVIDIA solutions architects Avinash Ahuja and Vivek Kolasani explore scaling agentic AI infrastructure. They trace the evolution from stateless LLMs to tool-augmented agent systems, then demonstrate how NVIDIA Dynamo and Kubernetes enable disaggregated, scalable inference architectures for production agent workloads across hyperscaler environments.

✅ Connect with Avinash – https://www.linkedin.com/in/avinashahuja/
✅ Connect with Vivek – https://www.linkedin.com/in/vivek-kolasani-b66ba823/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/

Building Production-Ready AI Agents with Strands Agents and MCP – Darko Mesaroš

Building Production-Ready AI Agents with Strands Agents and MCP – Darko Mesaroš

https://youtube.com/embed/HSfLUdCjFSA
AWS developer advocate Darko Mesaroš introduces Strands, an open-source framework for building production-ready AI agents. Through live coding demonstrations, he covers agent architecture fundamentals including tool integration, memory management, and evaluation strategies, all designed to work across any cloud provider or model vendor using Python or TypeScript.

✅ Connect with Darko – https://www.linkedin.com/in/darko-mesaros/

✅ Connect with Optimized AI Conference on LinkedIn – https://www.linkedin.com/company/oaiconference/

✅ Visit Optimized AI Conference Website – https://www.oaiconference.com/