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IN-PERSON EVENT

AWS AI and Data Conference 2026

Discover how autonomous, agent‑driven AI is redefining business strategy, accelerating development, and optimising operations.

Accelerate Business Impact with Agentic AI

Join the AWS AI & Data Conference 2026 for a focused, single‑day experience that shows you how to turn data into autonomous agents that act on behalf of your business.  You’ll see how to design, train, and deploy agents with Amazon Bedrock, Amazon SageMaker, and Quick Suite, integrate them with modern AWS data services, and apply AWS‑recommended governance to operate them responsibly at scale.  The agenda blends strategic guidance with hands‑on labs, giving architects, developers, and business leaders a clear, actionable playbook to deliver real‑world value—faster decision making, higher productivity, and new customer experiences—while staying aligned with your organization’s goals.

Spotlight Speakers

Hart Rossman

Missing alt text value VP, AWS Security

Eric Mosley

Missing alt text value CEO, Workhuman

Jose Kunnackal John

Missing alt text value Director, Amazon QuickSight, AWS

Fiona Simpson

Missing alt text value GM, Ireland & N. Ireland AWS

Richie Jones

Missing alt text value Principal Enterprise Technologist, AWS

Agenda

Executive Track

Session Time
Session Title
10:00 - 11:00

Keynote

11:30 - 12:10

Executives Guide to Security

  • Hart Rossman, VP - AWS Security
12:20 - 12:50

Global Scale Starts with Modernisation Fintua's path to 1B+ transactions per month across 200 countries and the growth it unlocked.

  • Catherine Quirke, CEO - Fintua
  • Mark Cliffe, CTO - Fintua
  • Luiz Pinto, Technology Enablement Lead - Slalom
13:00 - 13:45

Agentic AI advancements in customer experience with Amazon Connect

Amazon Connect transforms routine interactions into memorable moments by seamlessly embedding AI across every customer touchpoint - built from the ground up as a unified solution that's been cloud and AI-native since day one. By driving seamless coordination between human and AI agents, it preserves context across every interaction to drive differentiated customer experiences. Join this session with Russell Yeates, CX Specialist, on how Amazon Connect is revolutionizing contact centres through agentic AI. Hear from your peers in a panel discussion as they share their firsthand experience and best practices, illustrating the real-world impact and benefits of AI-powered customer service.

  • Russell Yeates - Principial Spec Seller Connect AWS
  • Stephen Keane - Ryanair 
  • Paddy Toner - Senior ICT Manager, Revenue Commissioner 
14:50 - 15:35

The Price of Intelligence: Monetization Strategies for Agentic AI

  • David Smith, Partner - Simon-Kucher
15:45 - 16:30

The 2x Imperative: How Intercom is Doubling Down on AI Productivity

  • Daragh Curran, CTO - Intercom
16:40 - 17:30

From Pitch to Platform: Reinventing the Six Nations Fan Experience with Generative AI 

  • Gill Kennedy, CTO - World Rugby
  • Johanna Prestele - AWS Global Sports Partnership Team

GenAI Tech Track

Time
Session Title
11:30 - 12:10

Scaling Secure Inference to Global Scale with Project Mantle in Amazon Bedrock 

Amazon Bedrock's Project Mantle represents a fundamental reimagining of how we serve generative AI inference at scale. Join AWS engineers as we unveil Mantle's architecture and take you behind the scenes, exploring how we've raised the bar on security, performance, and developer experience. We'll start with the "why"óthe technical and security challenges that drove us to build a next-generation inference engine operating at massive scale and global reach from the ground upóand how Mantle's design and architectural considerations are overcoming those challenges. Next, we'll explore what Mantle means for you as a builder. You'll learn about OpenAI-compatible APIs for easy migration, asynchronous inference for long-running tasks, and practical considerations like inference tiers, quota management, and expanded regional availability. Finally, we'll hear from a customer about real-world experience with open-weight models on Mantle, including their value proposition and production use cases. Whether you're building AI applications today or planning for tomorrow, you'll leave with practical insights to leverage Bedrock's most advanced inference capabilities securely and at scale. 

  • Francis Flannery, Principal Solutions Architect - AWS 
  • Aris Tsakpinis, Sr WW Specialist SA, GenAI - AWS 
  • Somu Perianayagam, Sr. Principal Engineer - AWS Customer TBC
13:00 - 13:45
Building Scalable Agentic AI Solutions at Sage with Amazon Bedrock AgentCore

Learn how Sage uses Amazon Bedrock AgentCore to unlock enterprise data at scale and transform customer engagement. Learn how Sage eliminated months-long IT bottlenecks and empowered business teams to access insights from 250+ products and enterprise systems in real-time. This session reveals how Sage built a federated AI agent marketplace on AgentCore that enables non-technical users to self-serve data access through domain-specific agents for customer preparation, product analytics, and real-time insights. Attendees will learn deployment strategies for multi-tier pipelines balancing innovation with enterprise security, team isolation approaches for domain specific agent development, integration patterns connecting conversational AI across Salesforce and enterprise systems, and enablement strategies that democratise agent development to scale AI literacy organisation-wide.
  • Omar Elkharbotly, Senior GenAI/ML Specialist SA - AWS 
  • Shubhankar Sumar, Senior Solutions Architect ISV - AWS 
  • Cheyne Ravenscroft, AI Lead Architect - Sage
13:55 - 14:40
From Prototype to Production: Building Safe AI Agents with Guardrails, Policy & Automated Reasoning

Learn how to deploy AI agents with controls that restrict what they can say and do. This session covers Amazon Bedrock Guardrails that filter agent content (input/output) and Amazon Bedrock AgentCore Policy that enforces rules on agent actions. Attendees will learn how to: - Choose between guardrails (controlling input/output) and policy (controlling actions) - Define policies that enforce rules on agent actions - How AWS uses automated reasoning to validate controls. For builders creating customer-facing agents, internal automation, or evaluating agent safety approaches.
  • Amit Lulla, Principal Solutions Architect - AWS
  • Benjamin Kiesl-Reiter, Sr. Applied Scientist - AWS 
  • John Sexton, Senior Machine learning Engineer - Genesys
14:50 - 15:35
Agents with Senses: dentsu and Amazon Nova's Approach to Multi-Modal Intelligence

Discover how dentsu's Mugen AI is transforming marketing execution at scale a generative AI platform built on AWS that seamlessly integrates with Amazon Marketing Cloud and AWS Clean Rooms. This session explores how Dentsu's Mugen AI leverages Amazon Nova 2's powerful models for multimodal multimodal processing and for voice-enabled experiences. Learn how this integration enables marketers to activate data-driven insights while maintaining privacy compliance, delivering hyper-personalized campaigns across channels in minutes rather than weeks. We'll share real-world results, implementation strategies, and demonstrate how to scale creative production without sacrificing quality. 
 
  • Swati Ramachandran, Enterprise Account Manager - AWS 
  • Toshal Dudhwala, Principal WW Specialist GenAI - AWS 
  • Satoru Yamamoto, Chief AI Officer - Dentsu Inc.
15:45 - 16:30
Kiro: Supercharging Enterprise Developer Productivity with agents, specs, steering and powers
 
AI coding assistants promise explosive productivity gains, but they're creating a new problem: uncontrolled code chaos. Teams are generating code faster than they can review it, coding standards are very hard to enforce when humans aren't writing the code and codebases are becoming unmaintainable messes. Kiro solves this with it's Spec driven developement. A structured, deterministic development flow that replaces "vibe coding" with repeatable outputs. This session explores how Kiro's Specs, Steering modes, Powers and Subagents give enterprise teams the control they need whilst maintaining AI powered productivity. We'll show the complete Kiro workflow and hear from Flutter Entertainment's Director of Engineering, who will share how spec driven development transformed their Terraform knowledge gaps into a production ready solution deployed across teams.
  • Irene Marban Alvarez, GenAI/ML Specialist SA - AWS 
  • Gareth Hastings, Senior Solutions Architect - AWS 
  • John Kellett, Principal CSM - AWS
  • Stew Norriss, Director of Engineering - Flutter Entertainment
16:40 - 17:30
LLM customization: the good, the bad and the ugly

LLM customization promises better quality and control, but reality is mixed. This talk reviews what works well in practice, what disappoints, and what remains hard even for experienced teams. It contrasts common customization paths across Bedrock and SageMaker, drawing on real trade-offs in data, cost, and operational burden. Along the way, it highlights failure modes, hidden constraints, and sharp edges that rarely make it into blogs. The perspective is practical rather than theoretical, drawn from ML engineers who work on these problems every day. 
 
  • Daniel Zagyva, Sr. Delivery Consultant - AI/ML - AWS
  • Laurens van der Maas, Delivery Consultant AI/ML - AWS 
  • Aleksandra Dokic, Sr. Delivery Consultant AI/ML - AWS
  • Mark Andrews, Senior Principal, Product Management - AWS

Databases and Analytics Track

Time
Session Title
11:30 - 12:10

Build an AI-ready data foundation why everything coming together matters

Modern GenAI and Agentic workflows can run well only when the underlying Data Platform is secure, strong and compliant. Learn more about how AWS services from Hardware, Inference, Data Platform and Tools are coming together to make this journey possible for our customers.

  • Vinay Kumar, Principal PMT-ES - AWS
  • Imtiaz (Taz) Sayed, Principal Analytics SA Leader - AWS
13:00 - 13:45
Building Next Gen Agentic Search experiences on AWS

Amazon OpenSearch Service delivers powerful search at scale while reducing operational overhead through managed infrastructure and access to an actively developed open source project with continuous performance improvements and LLM integration capabilities. In this session, hear how Checkout.com migrated from Elasticsearch to Amazon OpenSearch Service. Weíll explore the migration approach, challenges overcome, and real-world results from their production deployment.Weíll close by exploring next-generation agentic search capabilities, showing how OpenSearchís LLM client integration enables intelligent search experiences that go beyond traditional keyword matching. 
  • Canberk Keles, Solutions Architect - AWS
  • Anthony Roe, VP of Engineering - Checkout
13:55 - 14:40

Blurring Data & AI boundaries: Drive Agentic AI with Commercial Database Engines

Commercial Databases have been around for decades and hold the most valuable data of enterprises. Bringing them to the Cloud creates tremendous opportunity to drive innovation and new customer experiences using Agentic AI. Learn how AWS makes using Commercial Databases easy to drive Data pipeline & Agentic workflows to deliver innovative experiences.
  • Tobias Ternstrom, Director AWS Databases
14:50 - 15:35

DataOps Fueling the AI ready Data Platform

As organizations accelerate their AI ambitions, a robust data foundation becomes the single biggest enabler of success. In this session, weíll explore the pivotal role of DataOps in building and scaling a modern data foundation that fuels trustworthy, AI-ready platforms. Weíll discuss emerging trends shaping the next generation of data platforms and how you can start preparing today. The session will also include a live demo featuring Amazon Bedrock and SageMaker Unified Studio, showcasing real-world scenarios like Customer 360 and AIOps to illustrate how these innovations translate into measurable business impact

  • Sidhanth Muralidhar, Principal  Technical Account Manager - AWS
  • Oana Sentanai, Director of Data Engineering - FanDuel
15:45 - 16:30

Powering your Agentic AI experience with AWS Streaming and Messaging

Organizations are accelerating innovation with generative AI and agentic AI use cases. This session explores how AWS streaming and messaging services such as Amazon Managed Streaming for Apache Kafka, Kinesis Data Streams, Amazon Managed Service for Apache Flink, and Amazon SQS build intelligent, responsive applications. Discover how streaming supports real-time data ingestion and processing, while messaging ensures reliable coordination between AI agents, orchestrates workflows, and delivers critical information at scale. Learn architectural patterns that highlight how a unified approach acts on data as fast as needed, providing the reliability and scale to grow for your next generation of AI

  • Subham Rakshit, Streaming Specialist SA - AWS
16:40 - 17:30

Agents are as good as their memory:


Discover why memory architecture is the foundation of intelligent AI agents. This session explores how short-term and long-term memory transform stateless chatbots into adaptive, context-aware systems that learn from interactions and deliver measurable business outcomes with  implementation examples including Amazon Bedrock AgentCore.

  • Mark Cliffe,  Chief Engineering Officer - Fintua
  • Venkatesh Periyathambi,  Principal Data SA - AWS

Tech Deep Dives

Time
Session Title
11:30 - 12:10

A Complete Guide to Amazon Quick: The Unified AI-Powered Business Workspace

Description: This hands-on workshop will guide you through the key features and capabilities of Amazon Quick. Amazon Quick is a comprehensive, generative AI-powered business intelligence platform that makes it easy to analyze data, create visualizations, automate workflows, and collaborate across your organization. The service combines traditional business intelligence capabilities with modern AI assistance, requiring no machine learning expertise to use.

13:55 - 14:40

Game on: build a retro adventure game in 120 minutes (Kiro Workshop)

In this workshop, you will experience the power of AI-driven development by building a complete game using Kiro and its spec-driven development and agent steering capabilities. Bring your imagination and a laptop!

15:45 - 16:30

Building Production Ready Agents on AWS: From Spec to Scale

Throughout the workshop, you will gain practical, hands-on experience that guides you from initial Proof of Concept (PoC) development to full scale production deployment. The curriculum is purposefully implementation agnostic, empowering you to build scalable agentic AI solutions that flexibly support both SaaS models and customer VPC environments. Participants will explore core tools including† Amazon Bedrock AgentCore, Strands SDK, and the Model Context Protocol (MCP).

Startup Loft

Time
Session Title
11:30 - 12:10
 
Founders Panel: Building from Ireland: Founders on Ambition, Scaling, and Competing Globally.
 
Panellists:
  • Eddie Dillion, Founder & CEO, CreditLogic
  • Jack Fitzsimons, Founder & CEO, Oblivious AI
  • Laura Haldane, Co-founder, SciLeads, Aine Mulloy, Startup Account Manager, AWS
12:10 - 13:00
 
Investor Panel Session: What Gets a Yes? Insights on fundraising, traction and what VCs look for in 2026
 
Panellists:
  • John O'Sullivan, Partner, ACT Venture Capital
  • Lorraine Curham, Head of Operations, NDRC
  • Barry Brennan, Partner, Elkstone & Maria McMenamin, Founder, TechOperators
14:00 - 15:45

Agentic AI Workshop: Build Production AI Agents with Amazon Bedrock Knowledge Bases

14:00 - 15:45

Startup Networking: One-to-one startup networking with investors, partners and fellow founders

FAQ

Frequently Asked Questions

The AI and Data Conference Ireland is ideal for a diverse range of professionals including business leaders, data scientists, developers, IT professionals, and anyone keen on harnessing the power of Generative AI, Predictive Machine Learning, and Advanced Data Analytics. Whether you're looking to scale your operations, adapt to changing customer demands, or simply explore the latest in AI and data analytics innovations, this event offers valuable insights and networking opportunities. It caters to both seasoned experts seeking to deepen their knowledge and newcomers eager to understand the fundamentals and applications of these transformative technologies in various industries.The AWS AI and Data Conference is scheduled for 12 March 2026. 

We designed the AWS AI and Data Conference Ireland for an in-person audience. There will be no virtual component for the event. 

No, registration is complimentary for this event.

For attendees, we've reserved room blocks on the 12th and 13th of March. Your confirmation email will include a promo code for booking at the conference hotel. If the code doesn't work, it may mean the rooms are fully booked. However, ensure you've applied the code correctly, as some errors have occurred with the hotel's booking tool. Given Kilkenny's compact size, there are numerous excellent hotels nearby. Should the conference hotel be full, we recommend searching online for nearby hotels to check their availability.

The event will take place at the Lyrath Convention Centre in Kilkenny, Ireland on 12 March 2026 from approximately 09:00 AM – 5:30 PM. 

Change of Plans?

To change or cancel your registration, email us directly at aws-ie-events@amazon.com
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