Unlocking Innovation with Llama: How Startups Can Embrace the Future of AI

Carlo Marcoli | Senior Staff Llama Partner Engineer, Meta

The Llama family of models plays a pivotal role in promoting open innovation and AI adoption across the industry. In this keynote, Carlo Marcoli will share insights from the field on how Llama models on Amazon Bedrock are leveraged to drive real-world impact, and reflect on the broader evolution of the market—from powerful AI models, to integrated AI systems and agents, and ultimately toward open ecosystems that will define the next wave of transformation.

Workshop: Rag your Own Data (In Studio 2)

Aleksandra Jovovic | Sr. AWS Solutions Architect, AutomatIT

Join us for this workshop, organised by the AWS Startup team and Automat-it, focused on helping you build GenAI applications leveraging Amazon Bedrock and Agents. Through hands-on exercises and real-world examples, you will explore Retrieval-Augmented Generation (RAG), ethics, safety, and security. You will learn how to use Amazon Bedrock to integrate your own proprietary data, and implement responsible AI policies using Bedrock Guardrails.

Enabling safe and scalable AI in Financial Services

Andrew Rendell | VP Platform Engineering, Genesis Global

Discover how Genesis Global's low-code platform enables financial institutions to build and scale secure GenAI applications with built-in guardrails. This session explores practical approaches to implementing AI governance controls, data privacy safeguards, and model monitoring in financial services applications. Learn how to accelerate GenAI development while maintaining compliance and risk management standards. Genesis experts will demonstrate real-world examples of how firms are deploying responsible AI solutions across trading, risk management, and client services using their application development platform.

AI vs. AI: A VC View on AI Risks and RegTech Opportunities in Financial Services

Moderator: Maeve Heneghan | VC & Startups BD- FinTech, AWS

How are venture capitalists thinking about the double-edged sword of AI in financial services? On one side, AI introduces new risks- from deepfakes and fraud to opaque decisioning models and regulatory uncertainty. On the other, it’s driving an entire generation of AI-native RegTech solutions designed to strengthen compliance, trust, and resilience. In this panel, leading Risk and RegTech investors share where they see the greatest vulnerabilities, the most promising opportunities, and how responsible AI factors into their investment decisions.

From Sandbox to Scale: Building Responsible AI in Financial Services

Moderator: Maeve Heneghan | VC & Startups BD- FinTech, AWS

Join experts from the Financial Conduct Authority (FCA) and NayaOne for insights into navigating the regulatory landscape of GenAI in financial services. Learn how NayaOne's digital sandbox environment enables safe experimentation with AI solutions while meeting regulatory requirements. Discover best practices for testing GenAI applications, managing model risk, and ensuring compliance. The session will explore practical approaches to responsible AI innovation, including synthetic data usage, model validation, and regulatory reporting frameworks. Essential knowledge for fintech startups building GenAI solutions in regulated environments.

How Xelix Scaled with Bedrock

Paul Solomon | Head of AI, Xelix

Discover how to build intelligent finance automation using AWS Bedrock's multi-model approach and multi-agent workflows. Through real-world examples, learn how to leverage different LLMs including Claude and Nova for specific AP workflows automating end to end processes through multi-agent collaboration - from email handling to statement reconciliation. Dive deep into architecture patterns that achieve 96-99% accuracy in document extraction and 90% automation rates. Leave with practical insights on selecting the right models, implementing automated workflows, and scaling your solution while optimizing for cost and performance.

Accelerate Software development for regulated workloads with AWS Agentic Coding

Ryan Tan | Start up Solutions Architect, AWS

AI coding is changing software and with it comes it's own set of challenges. Research shows that addressing issues during the development phase is 5 to 7 times more costly than resolving them during the planning phase of the software development lifecycle. Join us for a commercially focused session introducing AWS Agentic coding capabilities including Kiro and Amazon Q Developer. You'll learn how to integrate AI agents seamlessly into your development cycle and build full stack applications faster with intelligent code generation.

GenAI Transforming Security and DevOps: A Customer Journey

Explore how generative AI is revolutionizing security operations and DevOps practices in this customer case study session. Learn how organizations are leveraging GenAI to enhance threat detection, automate security responses, and streamline development workflows. Our speaker will share practical insights on implementing AI-powered tools for code analysis, vulnerability scanning, and incident response. Discover the real-world benefits and challenges of integrating GenAI into security and DevOps pipelines, including improved efficiency, reduced alert fatigue, and enhanced collaboration between teams.