Future of Data and AI
Agentic AI Conference
Virtual conference
9AM – 3PM PDT | April 6 – 10, 2026
For a hands-on learning experience to develop Agentic AI applications, join our Agentic AI Bootcamp today. Early Bird Discount
Future of Data and AI
9AM – 3PM PDT | April 6 – 10, 2026
Our speakers, partners, and community sponsors
Join us as leading world-class thought leaders, CEOs and AI researchers take the stage to share what’s next in agentic systems.
As agentic AI systems gain the ability to reason, act, and collaborate across tools and environments, governance can no longer be an afterthought. This panel unifies architectural control mechanisms, human-in-the-loop oversight, regulatory accountability, interoperability standards, alignment frameworks, and adversarial resilience into a cohesive governance strategy. Experts will explore how enterprises can scale autonomy responsibly—through auditability, compliance readiness, protocol standardization, and robust safety design—before regulatory enforcement or operational failure forces reactive redesigns.
Agentic AI sits at the intersection of hype, capital intensity, and organizational redesign. This panel unifies the economic debate around bubbles vs. durable transformation with the operational realities of stalled deployments, unclear ROI, and brittle architectures. Leaders will examine why projects collapse, what separates sustainable value from speculative momentum, and how to design productive human–agent collaboration models that enhance performance rather than degrade it. A strategic discussion for executives deciding where autonomy truly creates long-term enterprise advantages.
Agentic AI systems dramatically expand the security surface — persistent memory, tool execution, API integrations, and multi-agent coordination introduce entirely new attack vectors. This panel unifies emerging threat models, from prompt injection and memory poisoning to privilege escalation and adversarial manipulation, into a cohesive security strategy. Experts will debate whether today’s safeguards are sufficient and explore practical mitigation patterns including sandboxing, scoped identities, policy enforcement layers, red-teaming, and zero-trust architectures built specifically for autonomous systems.
This panel will explore the emerging operational realities of deploying agentic AI at scale. Experts will discuss how technical debt accumulates across agent orchestration, evaluation frameworks, safety layers, and human oversight mechanisms. The conversation will highlight architectural patterns, governance strategies, and engineering practices that can help organizations manage this debt before it undermines reliability, security, and business value. The goal is to provide a practical perspective on building sustainable, production-grade agentic AI systems.
This session walks developers through a production-grade document extraction architecture that doesn’t just process; it learns. Using LandingAI’s Agentic Document Extraction API and modern multi-agent frameworks, you’ll see how to build a pipeline that measures its own accuracy, identifies failures, and refines itself automatically across high volumes, multi-page layouts, and edge cases.
In this session, you’ll learn to:
Applied AI Engineer
This session takes a practical look at how GitHub Copilot fits into the modern development workflow across tools you already use. From the CLI to VS Code to cloud environments, you’ll see how Copilot supports real development tasks end to end, and where each interface adds value or creates friction. Through a live build, this session highlights how context shifts across tools and what that means for productivity.
In this session, you’ll learn to:
Senior AI Developer Tools Advocate
This session shows developers how to secure AI coding agents that bypass sandboxes, leak credentials, and delete filesystems. Using Docker Sandboxes and the MCP Toolkit, you’ll explore real attack scenarios and the guardrails Docker is building to give agents full power with safety.
In this session, you’ll learn to:
Principal Software Engineer
This workshop shows developers how to build a personal AI agent from the ground up; without recurring API costs or third-party dependencies. Using open-weight models hosted on AMD GPUs and agentic frameworks like OpenClaw, you’ll learn to assemble a tool-using agent that’s customizable, private, and built for real workflows.
In this session, you’ll learn to:
AI Solution Architect
Software Development Engineer
This hands-on lab shows how to move from single-agent setups to fully distributed systems. You will design and deploy a scalable multi-agent architecture using Google ADK, the A2A protocol, and Cloud Run, simulating real production workflows.
In this tutorial, attendees will:
Director, AI Solutions
This hands-on lab shows how to move from single-agent setups to fully distributed systems. You will design and deploy a scalable multi-agent architecture using Google ADK, the A2A protocol, and Cloud Run, simulating real production workflows.
In this tutorial, attendees will:
In this session, you’ll learn to:
AI Leader
This session shows developers how to go from idea to production faster using Google AI Studio and the Gemini APIs. You’ll explore how Gemini’s multimodal capabilities and developer tooling remove the friction from building intelligent applications; so you can focus on what you’re creating, not the infrastructure underneath.
In this session, you’ll learn to:
AI Developer Relations Lead
OCR performs well in benchmarks, but real-world document AI lives in the long tail: large tables, old scans, mixed-language documents, handwriting, and complex layouts. Even top models struggle here. This workshop demonstrates how LandingAI’s Agentic Document Extraction (ADE) goes beyond OCR and parsing to handle real-world enterprise workloads effectively.
In this workshop, attendees will:
Developer Relations Specialist
This session tackles the challenge of making Large Language Models (LLMs) not just fluent in text, but capable of reasoning in math and code. Talking is imitation – learning by example – but logical tasks require learning by objective. That’s where RLHF comes in.
In this workshop, attendees will:
This serves as a theoretical companion to Chris McCormick’s workshop. Attendance to Chris’s workshop is not required, but is recommended for anyone who is interested in a practical coding example of GRPO.
Founder & Educator
This session tackles the real problem with autonomous AI agents: speed is great, but unconstrained access is a liability. You want the performance. Not the security nightmares.
Enter Docker Sandboxes — a new primitive designed to let agents operate in a restricted environment with controlled filesystem access, network permissions, and secret injections. You will learn how to give your agents the freedom to work — without handing them the keys to your entire system.
During the session, attendees will:
Developer Relations
Most agentic RAG systems break in production because they treat every query the same. Real users ask multi-part questions, shift intent mid-conversation, and expect systems to keep up. This workshop shows you how to move beyond single-shot retrieval and build systems that actually handle real-world complexity.
In this workshop, attendees will:
Developer Advocate
This session goes beyond conventional AI demos. While LLMs excel in controlled scenarios, real-world healthcare data is messy: electronic health records (EHRs) are fragmented, multi-modal, and require contextual reasoning across patient histories. This talk demonstrates how agentic AI systems, built on LangGraph agents orchestrating multiple LLMs within SambaNova’s SambaStack runtime, tackle these real-world challenges.
In this session, attendees will:
Senior Principal Solutions Engineer - Generative AI
A practical companion to Luis Serrano’s April 8 workshop on RLHF and GRPO, this session moves from theory and equations to running a stable training loop.
In this hands-on workshop, we’ll walk through a GRPO training pipeline to fine-tune a Qwen model on arithmetic tasks. Instead of stepping through boilerplate code, we’ll focus on the design decisions that determine whether reinforcement learning trains successfully.
During the session, attendees will:
Attendance at Luis Serrano’s April 8 session is recommended but not required; a brief RL refresher will be provided.
AI Researcher and Educator
The Agentic AI Conference features tutorials, panels, and hands-on workshops with thought leaders from the AI industry who will explore the latest technologies, trends, tools, and challenges shaping intelligent agents.
Access the event from anywhere, for free, this is your opportunity to learn, connect, and grow at the forefront of agentic AI.
From real-world use cases to technical deep dives, every session delivers insights you can act on.
No travel, no cost - just world-class content. Our virtual format makes it easy to connect, learn, and grow from wherever you are.
We’re giving away over $10,000 worth of FREE bootcamp seats and other prizes. Attend the Agentic AI Conference live to win big!
A quick look at the impact and reach of this Agentic AI Conference edition
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
Learn how to fine-tune LLMs for reasoning, math, and coding with RLHF and GRPO methods, in order to create stable, reliable, logic-driven performance for practical, real-world AI applications.
Learn to safely run autonomous AI agents using Docker Sandboxes, filesystem restrictions, network controls, and secure secret injection for production-ready enterprise deployment.
Learn to fine-tune a Qwen model on arithmetic tasks using a GRPO pipeline, exploring reward calculation, hyperparameters, stability techniques, and multi-GPU execution for reinforcement learning..
Learn how multi-LLM agentic systems on SambaStack securely query EHRs, perform contextual reasoning, similarity searches, and optimize runtime models for healthcare production workloads.
Please use this link for registering for the Agentic AI Conference.
Once you complete your registration, you’ll receive the Zoom link for the Agentic AI Conference via email. This link will allow you to join the live sessions on the conference days.
No, you don’t need a paid Zoom account to attend the Agentic AI Conference. You can sign up for a free Zoom account and register for the conference using the same email address. On the event days, simply log into Zoom with that email to access and watch the sessions.
Yes! The main Agentic AI conference on September 15–16, including panels and tutorials, is completely virtual and free to attend. The optional workshops on September 17–19 are paid sessions. If you’d like to join these, you can purchase access separately after registering.
Upon registering, you will get an invitation to join the exclusive LinkedIn group.
You can also join our discord community and connect with the Agentic AI conference speakers and other attendees.
Each workshop includes:
Yes! Your questions will be put in a moderation queue and it will be answered by the panel.
Yes! All Agentic AI Conference sessions will be recorded, and you’ll be able to watch them at your convenience after the event.
