Future of data and ai
Agentic AI Conference
virtual conference | 27-28 may, 2025
Speakers from Leading Companies
WHY ATTEND THE CONFERENCE
Top Reasons to Attend
Learn the Latest in Agentic AI
Discover the latest innovations, frameworks, and real-world applications driving the future of agentic AI
Attend from Anywhere
Connect with leading minds and cutting-edge ideas—no travel required, just high-impact insights at your fingertips
Engage in Real-Time Conversations
Don’t just watch—ask your burning questions, share your ideas, and connect with speakers in the interactive live sessions.
Expert-Led Sessions
Unlock exclusive insights from globally renowned experts who are not setting trends and shaping the future of agentic AI
Speakers
Bob Van Luijt
Jerry Liu
Rehan Jalil
Aparna Dhinakaran
Luis Serrano
Kartik Talamadupula
Sage Elliot
Hamza Farooq
Zain Hasan
Raja Iqbal
Conference Agenda
Day 1
9am – 10am
Fireside Chat
Transforming knowledge work with AI
AI Teammates and the future of human-AI collaboration
Raja Iqbal | TBA
This fireside will explore how AI agents are transitioning from tools to collaborative partners in the workplace, augmenting human capabilities rather than replacing them. The discussion will delve into the investment landscape, highlighting the opportunities and challenges in backing startups that develop AI teammates. Gain firsthand insights into the criteria VCs consider when investing in this space, the sectors poised for transformation, and the future of human-AI collaboration in knowledge work.
Day 1
10am – 11am
Panel Discussion
Inside the mind of an AI agent
Agentic Frameworks, Planning, Memory and Tools
Raja Iqbal | TBA
This panel dives into the core components driving today’s most advanced agentic AI frameworks. We’ll explore the architectures, planning methods, memory systems, and tool integrations that make agentic AI so powerful and adaptable. Topics include innovations like ReAct, Reflexion, and AutoGPT-inspired agents, as well as hierarchical and recursive designs for complex tasks. Expect insights into planning and reasoning (PDDL, chain-of-thought, tool use), memory strategies (episodic, semantic, vector-based), and adaptive learning.
Day 1
11am – 12pm
Panel Discussion
From recall to context-aware reasoning
Architecting retrieval systems for Agentic AI
Luis Serrano | Zain Hasan | Kartik Talamadupula
This panel explores the retrieval systems at the heart of agentic AI—from vector stores to dynamic, task-aware reasoning engines. We’ll examine how agentic AI frameworks leverage episodic and semantic memory to recall past experiences, guide decision-making, and adapt to evolving objectives. Key topics include integrating retrieval with planning loops, managing memory through pruning and compression, fine-tuning retrievers based on agent behavior and real-world applications of RAG within agentic AI systems.
Day 1
12pm – 1pm
Panel Discussion
Designing trustworthy agents
Observability, guardrails and evaluation in agentic systems
Aparna Dhinakaran | Sage Elliot
This panel explores how to build trustworthy agentic AI systems through observability tools, behavioral guardrails, and robust evaluation methods. We’ll discuss best practices such as tracing decision paths, logging internal states, and leveraging simulation-based testing alongside agent-specific benchmarks. Panelists will share lessons from real-world agentic AI deployments across healthcare, enterprise, and research—highlighting how to scale oversight and reliability without compromising performance.
Day 2
9am – 10am
Tutorial
An Introduction to Model Context Protocol (MCP)
Enhancing Agent Collaboration with Shared Contexts
Raja Iqbal
As AI agents become more autonomous and collaborative, the need for structured, shareable context between them is critical. Model Context Protocol (MCP) addresses this challenge by providing a standardized way to exchange contextual information across models and systems. In this tutorial, we’ll explore why MCP is essential for building interoperable multi-agent ecosystems, how it works, and how you can start using it to improve the performance, reliability, and coordination of your AI applications.
Day 2
10am – 11am
Tutorial
Designing vertical AI agents that deliver results
Building scalable, context-aware AI agents for real-world applications
Hamza Farooq
In the evolving landscape of AI, creating agents that are both intelligent and context-aware is paramount. This tutorial delves into the Model Context Protocol (MCP), a framework designed to enhance AI agents’ ability to interact with external data sources and tools seamlessly. Participants will gain hands-on experience in constructing vertical AI agents that leverage MCP to retrieve, analyze, and act upon real-time information, ensuring adaptability and scalability in production environments. By integrating MCP, developers can overcome common challenges in AI deployment, such as data silos and lack of interoperability, paving the way for more robust and efficient AI solutions.
Past Conference Highlights
A record turnout of AI enthusiasts, innovators, and leaders
A diverse community of AI experts and enthusiasts globally
Exciting prizes and exclusive offers for attendees
What Attendees Say
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Register Now
Register now through a verified LinkedIn account to get the most out of the conference experience with access to community and free giveaways
Access to recorded panels and discussions after the event.
Connect with other AI enthusiasts and professionals through exclusive networking groups.
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Frequently Asked Questions
Please use this link for registering.
No, there is no cost to attend. Our mission is to make data science accessible to everyone. This is our way of giving back to the community.
Upon registering, you will get an invitation to join the exclusive LinkedIn group.
You can also join our discord community and connect with conference speakers and other attendees.
Yes! Your questions will be put in a moderation queue and it will be answered by the panel.
Yes! All sessions will be recorded, and you’ll be able to watch them at your convenience after the event.