AWS AI and Data Conference 2026
2026-03-12
Kilkenny, Ireland
as the organisers put it
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.
| title | author | length |
|---|---|---|
| Event Highlights | 02m | |
Two-minute highlight reel from the 5th annual AWS AI and Data Conference, March 12, 2026 at Lyrath Convention Centre, Kilkenny, showing AWS platform demos… | ||
| Agents and Memory Architecture | Mark Cliffe, Venkatesh Periyathambi | 47m |
Memory becomes the production requirement: short‑term chat blobs persist to a session store and Agent Core auto‑extracts, consolidates and embeds into… | ||
| Agentic AI with AWS Streaming | Subham Rakshit | 42m |
Shows a concrete pipeline: Kinesis or MSK ingest IoT telemetry, Apache Flink does stateful real-time feature generation and anomaly detection, anomalies post… | ||
| DataOps for AI-Ready Platforms | Sidhanth Muralidhar, Oana Sentanai | 47m |
Argues that DataOps is the foundation for agentic, AI‑ready platforms and shows a working stack: queries run over Iceberg on S3 via Athena or Redshift, agents… | ||
| Next Gen Agentic Search on AWS | Canberk Keles, Anthony Roe | 30m |
Checkout.com migrates from Elasticsearch 7.10.2 to Amazon OpenSearch Service using a staged approach: dual-write checker to validate parity, snapshot restore… | ||
| Agentic AI with Commercial Databases | Tobias Ternstrom | 47m |
Claims agents will produce orders of magnitude more apps (speaker says "a thousand times"), and the focus is on controlling cost, security and latency… | ||
| Building an AI-Ready Data Foundation | Vinay Kumar | 43m |
Platform-level walkthrough of how an operational AI foundation is built: Tines runs 1 billion weekly actions on a workflow platform that integrates AWS Bedrock… | ||
| Kiro: Enterprise Developer Productivity | Irene Marban Alvarez, Gareth Hastings, John Kellett, Stew Norriss | 38m |
Kiro enforces coding standards by generating a human-reviewed spec (requirements, design, tasks) before any code so outputs are repeatable rather than “vibe… | ||
| LLM Customization | Daniel Zagyva, Laurens van der Maas, Aleksandra Dokic, Mark Andrews | 35m |
Compares concrete AWS paths: Bedrock vs SageMaker and Nova Forge, lists techniques used (SFT, preference alignment, RL fine-tuning, CPT, PEFT/LoRA) and gives… | ||
| dentsu and Amazon Nova Multi-Modal AI | Swati Ramachandran, Toshal Dudhwala, Satoru Yamamoto | 44m |
Dentsu deploys Mugen AI on AWS Bedrock using Amazon Nova 2 models, Amazon Marketing Cloud, AWS Clean Rooms, Luma AI and X Nada to generate and activate… | ||
| Agentic AI at Sage with AgentCore | Omar Elkharbotly, Shubhankar Sumar, Cheyne Ravenscroft | 44m |
Sage builds a federated agent marketplace on Amazon Bedrock AgentCore that connects 250+ products and systems, removes months‑long IT bottlenecks, and lets… | ||
| Unlocking Europe's AI Potential | Sasha Rubel, Veronica Rahneberg | 51m |
Survey interviews with 17,000 businesses and citizens show EU AI adoption rising from 33% (2024) to 54% (2026) and 4.4 million adopters in 2025 — one every 7… | ||
| Project Mantle in Amazon Bedrock | Francis Flannery, Aris Tsakpinis, Somu Perianayagam | 43m |
Project Mantle is a reengineered Bedrock inference engine that standardizes model interfaces, unifies capacity pools to eliminate siloed hardware, and adds… | ||
| How Intercom Doubles Down on AI | Darragh Curran | 39m |
Intercom rebuilds its product and engineering model around Finn, an AI agent launched alongside GPT‑4 that powers a million+ resolutions per week, proprietary… | ||
| Navigating AI Monetization | David Smith | 29m |
Argues that AI forces a rethink of SaaS pricing and offers a practical two‑axis framework — attribution vs autonomy — to choose between user+usage hybrid… | ||
| The Power of ServiceNow on AWS | Alex Montgomery | 28m |
ServiceNow running on AWS claims to turn fragmented SaaS estates into an “AI control tower” by sensing data across sources, reasoning on a semantic graph, and… | ||
| Agentic AI with Amazon Connect | Russell Yeates, Stephen Keane, Paddy Toner | 43m |
Amazon Connect presents an integrated contact‑centre stack with 4.4 million calls redirected and 235,000 agent hours saved at one customer, unlimited AI… | ||
| Building Security at Speed | Hart Rossman, Niamh Gallagher | 38m |
Shows how AWS moves security from gatekeeping to embedded practice with concrete systems and counts: thousands of security guardians embedded in service teams… | ||
| Building Safe AI Agents | Amit Lulla, Benjamin Kiesl-Reiter, John Sexton | 39m |
Shows how to lock down agent behavior using Amazon Bedrock Guardrails to filter inputs and outputs and AgentCore Policy (Cedar) to declare what tools and… | ||
| Keynote: The Age of Agents | Richie Jones, Fiona Simpson, Hart Rossman, Eric Mosley, Tobias Ternstrom | 01h 12m |
Claims rapid shift from pilot to production with concrete metrics: 68% of AI projects stuck in pilot, 57% face organisational drag. Recommends a 90‑day roadmap… | ||
| nothing matches | ||