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Global AI Conference Chennai
This event is part of Global AI Conference, organized by Global AI Chennai.
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About
One day. Real-world AI. Built by developers, for developers.
The Global AI Conference is a free, one-day conference for developers, engineers, data professionals, and anyone building with AI. Across a full day of expert sessions and hands-on workshops, you'll explore the latest AI frameworks, tools, and platforms, and learn how to take ideas from prototype to production.
What to expect
The day kicks off with an inspiring keynote, followed by two parallel tracks. The session track features talks, live demos, and in-depth discussions from industry experts and community speakers. The workshop track is where theory turns into practice: guided, hands-on labs where you build working AI solutions yourself, from intelligent agents to production-ready applications.
Who should attend
Whether you're writing your first lines of AI-powered code or architecting large-scale intelligent systems, the Global AI Conference offers content for every level. Developers, architects, data scientists, students, and tech leaders all find sessions tailored to where they are in their AI journey.
Why attend
Learn practical skills you can apply immediately, straight from experts who build with these tools every day. Get hands-on experience in guided workshops instead of just watching slides. Connect with a vibrant local community of AI builders and grow your professional network.
The Global AI Conference is organized by the Global AI Community, a worldwide, vendor-neutral network of developer communities, and is hosted in cities around the globe by passionate local organizers.
Admission is free. Seats are limited, so register today.
Who's on stage
As part of Microsoft’s Developer Relations organization, Lee leads a global team driving innovation in Artificial Intelligence and Azure. Their work centres on empowering customers through digital transformation, showcasing how Microsoft’s tools, services, and technologies can unlock new possibilities. Lee is deeply embedded in every phase of the journey, from architectural brainstorming and pair programming to code reviews, documentation, and community storytelling. Whether guiding strategic decisions or rolling up their sleeves to co-build solutions, Lee ensures that technical excellence and developer empathy go hand in hand.
I am an AI Engineer and Architect specializing in Agentic systems, production-grade GenAI, and Responsible AI design. As a GenAI Developer/Advocate at AWS, I work at the intersection of building multi-agent architectures, observability, and real-world AI deployment to helping developers move from demos to scalable, trustworthy systems. Previously innovating and architecting KnowRA+, a hybrid RAG + GenAI platform that won multiple awards and generated $10M+ in value. I specialize in LLM architecture, NLP, and scalable ML solutions across BFSI, Travel, Healthcare, and Retail domains, with 8+ granted USPTO patents.
Henk is a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. He is currently part of the AI cloud advocate team and based in the Netherlands. Before joining Microsoft, he was a Microsoft AI MVP and worked as a software developer and architect building lots of AI powered platforms on Azure.
Giri Venkatesan is a Developer Advocate and Architect at Solace, focused on building the future of AI-native, real-time enterprise systems using Agentic AI, event-driven architecture (EDA), and API-first integration. With decades of experience across enterprise integration, Giri has driven architectural evolution from legacy EAI and B2B integration models to modern cloud-native microservices and real-time event streaming. Today, Giri’s work centers on Agentic AI - helping organizations design and operationalize autonomous AI agents that can reason, plan, and take action across distributed systems. He advocates for using events and messaging as the nervous system for AI agents, enabling them to respond instantly to changing business conditions, coordinate workflows across services, and execute tasks reliably at scale. His expertise spans integration technologies, asynchronous APIs (AsyncAPI), REST APIs, open-source ecosystems, and event-driven patterns that make AI-powered systems more scalable, resilient, and observable. Giri is passionate about turning AI from “experiments and prototypes” into production-ready agent-driven architectures that improve productivity, accelerate innovation, and unlock new automation opportunities. He regularly shares insights on LinkedIn, Medium, and DEV Community - educating architects and developers on building real-world systems where AI agents, APIs, and real-time events work together to deliver smarter digital experiences and business agility.
Sessions & tracks
Agents of Tomorrow: Building the Next Generation of Intelligence
We stand at the edge of a profound shift in artificial intelligence. Over the last five years, generative AI has moved from novelty to necessity, transforming how we create, code, and collaborate. Now, a new frontier is emerging: AI agents. Unlike traditional tools that wait for instructions, agents can perceive, decide, and act toward goals expanding the boundaries of what humans and machines can achieve together.
In this keynote, we’ll explore the evolution from copilots to fully agentic systems, highlight breakthroughs that are reshaping industries, and imagine the future horizons where autonomous agents redefine productivity, creativity, and discovery. Most importantly, we’ll discuss the role of humans in this new era—not as bystanders, but as leaders guiding how agents operate, align with our values, and amplify our potential.
The Agents of Tomorrow are here and the future will be built by those bold enough to partner with them.
Henk is a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. He is currently part of the AI cloud advocate team and based in the Netherlands. Before joining Microsoft, he was a Microsoft AI MVP and worked as a software developer and architect building lots of AI powered platforms on Azure.
Operationalising AI Agents at Scale: Microsoft Foundry Hosted Agents with MCP Tooling
As AI agents move from experimentation to production, the challenge shifts from model capability to orchestration, governance, and scale. This session explores how Microsoft Foundry Hosted Agents and Model Context Protocol (MCP) tooling enable developers to build, deploy, and operate production-ready agent systems using standardised, composable interfaces.
We will show how MCP connects agents, tools, and external systems, while Foundry provides a managed runtime with enterprise-grade security, identity, and observability. Attendees will learn how to design modular, reproducible architectures aligned with DevOps and GitOps practices.
Through a practical walkthrough, we will demonstrate MCP tool integration within hosted agents, enabling dynamic tool use, external system connectivity, and multi-agent coordination. We will also cover key operational considerations including RBAC boundaries, data-plane versus control-plane access, and debugging strategies.
This session is for AI engineers and developers looking to move beyond prototypes and build scalable, reliable agent systems.
As part of Microsoft’s Developer Relations organization, Lee leads a global team driving innovation in Artificial Intelligence and Azure. Their work centres on empowering customers through digital transformation, showcasing how Microsoft’s tools, services, and technologies can unlock new possibilities. Lee is deeply embedded in every phase of the journey, from architectural brainstorming and pair programming to code reviews, documentation, and community storytelling. Whether guiding strategic decisions or rolling up their sleeves to co-build solutions, Lee ensures that technical excellence and developer empathy go hand in hand.
The Agent Development Lifecycle: What Every Framework Agrees On, and the One Thing They Miss
Building an agent that works in a notebook is a solved problem. Running one in production is not. Gartner expects more than 40% of agentic projects to be scrapped by 2027. The fix isn't a better model. It's operational discipline, now called the Agent Development Lifecycle. But every vendor defines it differently. This talk maps where the field actually agrees, covering eval-driven development, human-in-the-loop, and continuous improvement, then exposes what they all leave implicit: how agents actually communicate. Chain them synchronously and you hit the same wall microservices hit a decade ago. Vendor-neutral, production-first.
Giri Venkatesan is a Developer Advocate and Architect at Solace, focused on building the future of AI-native, real-time enterprise systems using Agentic AI, event-driven architecture (EDA), and API-first integration. With decades of experience across enterprise integration, Giri has driven architectural evolution from legacy EAI and B2B integration models to modern cloud-native microservices and real-time event streaming. Today, Giri’s work centers on Agentic AI - helping organizations design and operationalize autonomous AI agents that can reason, plan, and take action across distributed systems. He advocates for using events and messaging as the nervous system for AI agents, enabling them to respond instantly to changing business conditions, coordinate workflows across services, and execute tasks reliably at scale. His expertise spans integration technologies, asynchronous APIs (AsyncAPI), REST APIs, open-source ecosystems, and event-driven patterns that make AI-powered systems more scalable, resilient, and observable. Giri is passionate about turning AI from “experiments and prototypes” into production-ready agent-driven architectures that improve productivity, accelerate innovation, and unlock new automation opportunities. He regularly shares insights on LinkedIn, Medium, and DEV Community - educating architects and developers on building real-world systems where AI agents, APIs, and real-time events work together to deliver smarter digital experiences and business agility.
Tokenmaxxing to Valuemaxxing
Shipping a multi-agent system into production — a network of orchestrator, sub-agents, tool calls, and shared memory is easy. The system works beautifully. Then the bill arrives. In this session, we'll dissect where tokens actually go in multi-agent architectures and reveal the hidden multipliers — context replay, coordination loops, verbose reasoning — that silently 10-100x your costs. Through a side-by-side demo on refactoring, you'll see the same use case drop by XX times using practical design patterns: tiered model routing, selective context passing, prompt caching, and token-aware guardrails on AI stack. Walk away with a decision framework you can apply before writing a single line of agent code — because the cheapest token is the one you never send.
I am an AI Engineer and Architect specializing in Agentic systems, production-grade GenAI, and Responsible AI design. As a GenAI Developer/Advocate at AWS, I work at the intersection of building multi-agent architectures, observability, and real-world AI deployment to helping developers move from demos to scalable, trustworthy systems. Previously innovating and architecting KnowRA+, a hybrid RAG + GenAI platform that won multiple awards and generated $10M+ in value. I specialize in LLM architecture, NLP, and scalable ML solutions across BFSI, Travel, Healthcare, and Retail domains, with 8+ granted USPTO patents.
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