As software becomes more intelligent and adaptive, traditional test automation begins to fall short. This talk explores how Agentic AI is revolutionizing quality engineering, enabling autonomous planning, designing, executing, and validating tests across complex systems. Hugo will share how AI-driven agents collaborate across the QA lifecycle, how organizations can adopt agentic architectures, and practical ways to measure ROI as they scale continuous quality in the era of AI-driven development.

Adam Amara, cofounder & CEO at Turing Biosystems, discusses network-based modelling and multiomics integration on metabolic networks, multilayer networks to integrate mutiomics and clinical data with knowledge graphs, and the use of TuringDB.ai to analyse large biomedical knowledge graphs and build digital twins.

On 2025-11-18, this session covers agentic AI concepts, autonomous reasoning and task execution, and their impact for business leaders and practitioners. It includes a demo of the Strands framework to build AI agents at scale, with deployment in AWS Cloud using AgentCore services.

Cian Clarke explains how Spec-Driven Development replaces 'vibe coding,' and how agentic roles plus human-in-the-loop coordination deliver predictable, context-aware outcomes. Real projects, practical lessons, honest insights.

Simon Maple demonstrates how to unlock your AI agent’s full potential. Through live demos, see how structured context, clear specs, and guidance turn agents into reliable teammates that understand your stack and coding style.

What does it really take to move from a RAG chatbot to an agentic AI system? In this talk, I’ll share the technical and organizational lessons from our migration: the importance of framework choice, common design patterns for building AI agents, the hidden blockers in data foundations, and how we approach evaluation using Langfuse. Through live demos, I’ll illustrate key challenges and design decisions that shaped our system. Beyond the technical aspects, we’ll explore the evolving skill sets for AI teams, the impact of AI-assisted coding, and practical ways to measure real business impact.

Transform complex data engineering with just a spoken request. See how Maia, Matillion's agentic AI solution, autonomously designs, builds, and monitors data pipelines in minutes instead of hours—addressing the data engineering talent gap while freeing technical teams for strategic work.

This 2-hour intensive session provides a foundational and practical guide to the burgeoning field of prompt engineering. As large language models become a core part of professional workflows, the ability to communicate with them effectively is crucial. This course will demystify the art and science of crafting powerful prompts.\n\nWe'll move beyond simple queries and introduce you to the fundamentals of structured prompting, showing you how small changes can lead to dramatically better results. You will learn to optimize your prompts for clarity, specificity, and control to ensure the AI delivers the responses you need.\n\nBy the end of this session, you'll be able to:\n- Recognize the limitations of basic prompting and avoid common trial‑and‑error pitfalls.\n- Apply key prompting techniques for enhanced control, accuracy, and repeatable results.\n- Understand the shift to programmatic prompt engineering, exploring how templates and automation optimize AI workflows.\n- Power advanced AI applications like Retrieval‑Augmented Generation (RAG) and Agentic AI.\n- Improve AI reasoning and decision‑making, learning how advanced techniques can reduce hallucinations and improve logical output.

This 2-hour intensive session provides a foundational and practical guide to the burgeoning field of prompt engineering. As large language models become a core part of professional workflows, the ability to communicate with them effectively is crucial. This course will demystify the art and science of crafting powerful prompts.

We'll move beyond simple queries and introduce you to the fundamentals of structured prompting, showing you how small changes can lead to dramatically better results. You will learn to optimize your prompts for clarity, specificity, and control to ensure the AI delivers the responses you need.

By the end of this session, you'll be able to: - Recognize the limitations of basic prompting and avoid common trial-and-error pitfalls. - Apply key prompting techniques for enhanced control, accuracy, and repeatable results. - Understand the shift to programmatic prompt engineering, exploring how templates and automation optimize AI workflows. - Power advanced AI applications like Retrieval-Augmented Generation (RAG) and Agentic AI. - Improve AI reasoning and decision-making, learning how advanced techniques can reduce hallucinations and improve logical output.

This 2-hour intensive session provides a foundational and practical guide to the burgeoning field of prompt engineering. As large language models become a core part of professional workflows, the ability to communicate with them effectively is crucial. This course will demystify the art and science of crafting powerful prompts. We'll move beyond simple queries and introduce you to the fundamentals of structured prompting, showing you how small changes can lead to dramatically better results. You will learn to optimize your prompts for clarity, specificity, and control to ensure the AI delivers the responses you need. By the end of this session, you'll be able to: - Recognize the limitations of basic prompting and avoid common trial-and-error pitfalls. - Apply key prompting techniques for enhanced control, accuracy, and repeatable results. - Understand the shift to programmatic prompt engineering, exploring how templates and automation optimize AI workflows. - Power advanced AI applications like Retrieval-Augmented Generation (RAG) and Agentic AI. - Improve AI reasoning and decision-making, learning how advanced techniques can reduce hallucinations and improve logical output.

This 2-hour intensive session provides a foundational and practical guide to the burgeoning field of prompt engineering. As large language models become a core part of professional workflows, the ability to communicate with them effectively is crucial. This course will demystify the art and science of crafting powerful prompts.

We'll move beyond simple queries and introduce you to the fundamentals of structured prompting, showing you how small changes can lead to dramatically better results. You will learn to optimize your prompts for clarity, specificity, and control to ensure the AI delivers the responses you need.

By the end of this session, you'll be able to: - Recognize the limitations of basic prompting and avoid common trial-and-error pitfalls. - Apply key prompting techniques for enhanced control, accuracy, and repeatable results. - Understand the shift to programmatic prompt engineering, exploring how templates and automation optimize AI workflows. - Power advanced AI applications like Retrieval-Augmented Generation (RAG) and Agentic AI. - Improve AI reasoning and decision-making, learning how advanced techniques can reduce hallucinations and improve logical output.

AI is evolving into autonomous agents that connect with multiple business systems via the Model Context Protocol (MCP). While these agents boost efficiency, they also introduce new security risks. They can access sensitive data and act across systems, sometimes without human oversight. This session covers key risks, real-world examples of failures, and practical ways to keep AI agents secure and trustworthy.

Use case of agentic AI applications powered by TiDB and AWS

Explores the future of security with Agentic AI and how AI-powered agents can enhance threat detection, analysis, and response.

Join us for an insightful session led by Joao, CEO of CrewAI, as he explores how enterprises are putting agentic AI to work in real-world environments. As organizations move beyond experimentation and into full-scale deployment, they’re encountering both immense opportunity and critical operational challenges. In this session, Joao will unpack how leading companies are building and deploying agentic workflows in production—showcasing how autonomous agents are being used to handle complex tasks, coordinate across systems, and deliver tangible business outcomes. He will highlight the practical considerations enterprises must address to succeed at scale, including governance frameworks that ensure agents behave reliably and transparently, and observability techniques that allow teams to monitor, debug, and optimize these dynamic systems in real time. Drawing from real production use cases, Joao will share how organizations across industries—from telecom and financial services to retail and logistics—are leveraging CrewAI’s platform to orchestrate agentic workflows that drive efficiency, enhance decision-making, and improve customer experiences.

Rising Odegua from Kallikor presents Building a smart calendar with Agentic AI.