HALL 1 (Main) - Keynotes / Tech Talks

As AI disrupts current Architectures, we need certain principles to architect applications appropriately & harness the full potential of AI. The sessions explain the Guiding Principles for implementing multi-agentic applications and provide a technical breakdown of those principles, using examples from Snowflake Cortex Agents & Platform.

The talk introduces an innovative framework for training AI agents using trajectory deep reinforcement learning (GRPO) and active intelligent memory utilization. By treating entire decision trajectories as the core unit of learning, it addresses challenges such as trajectory blindness and high supervision costs, thereby enhancing agent performance and understanding. This framework supports continuous experiential learning without extensive human oversight and incorporates a modular evaluation methodology for assessing enterprise agentic platforms. The framework aims to improve the efficiency, adaptability, and risk management of AI systems, driving wider adoption in enterprise environments.

Agentic AI is moving beyond “better prompts” into a new layer of infrastructure: standardized tool connectivity, agent-to-agent interoperability, and disciplined context engineering. In this session, I’ll share a production blueprint for building agents that can safely plug into enterprise systems using open protocols (MCP for agent-to-tools, A2A for agent-to-agent collaboration). We’ll cover how to design “context interfaces” (what the model can request, when, and why), handle long-running tasks with progress + recovery, and ship with strong authorization, auditability, and guardrails. Attendees will leave with a practical reference architecture and implementation checklist they can apply immediately.

The tacit premise of modern ML: decision-time computation is where value gets created. Train a model, learn a policy, deploy. The policy is the intelligence. In this talk I will demonstrate that structural graph design, specifically via randomised edge perturbation achieves Pareto-dominant performance over learned and optimisation-based methods in urban food delivery. Our core claim is that-if the environment in which agents operate is designed with sufficient structural care, the agents themselves can be remarkably simple; and the system as a whole will still outperform agents that are far more computationally sophisticated.

AI adoption won’t follow a single trajectory, it will diffuse across industries, functions, and societies through multiple parallel pathways. This session explores 100 practical and emerging diffusion routes through which AI is expected to scale by 2030, from developer-led tooling and enterprise copilots to autonomous workflows, sector-specific AI stacks, embedded intelligence in products, and policy-driven innovation. The focus is on how AI moves from experimentation to systemic integration: what accelerates adoption, what creates friction, and how organizations can strategically position themselves to ride the right diffusion curves. A forward-looking yet execution-oriented perspective for leaders and builders shaping the AI-powered decade ahead.

When building Agentic AI systems, decision architecture is not a technical afterthought—it is the foundation of scale, trust, and long-term adoption in real-world environments.

The hospitality industry thrives on trust, experience, and word-of-mouth advocacy. This session explores how an AI-based referral engine can transform customer referrals from a reactive process into a scalable, intelligence-driven growth lever.

The leader will share how AI can be used to identify customers with a high propensity to refer, enabling businesses to focus efforts where advocacy is most likely to convert. The session will also cover smart allocation of relationship managers using predictive insights, ensuring high-value interactions are prioritized and resources are optimally deployed.

Additionally, the talk will highlight how AI-driven profile enrichment—combining behavioral, transactional, and engagement data—can power deeply personalized communication at scale. Attendees will gain practical insights into building referral ecosystems that are proactive, personalized, and measurable, driving sustainable growth and stronger customer relationships in the hospitality sector.

Evolution from conversational bots to action-oriented AI agents

Core agentic patterns (intent → plan → act → observe)

Where agentic AI delivers real business value

A simple, safe demo showing how conversations trigger actions