11:15 - 11:25

11:25 - 12:00

Successful generative AI deployments demand more than just a proof of concept. This session delves into Intercom's end-to-end journey on productionizing their Fin Chatbot which is a breakthrough AI chatbot powered by large language models on Amazon Bedrock. We will cover critical aspects such as model selection and management, cost optimization, performance monitoring, and scalability in a high-stakes production setting. Gain insights into managing model access, balancing trade-offs, and future-proofing your AI strategy.

Speakers:

• Benoit de Patoul, AI/ML Specialist SA , AWS
  
• Mario Kostelac, Staff Machine Learning Engineer, Intercom
  
• Damian Niezgoda, Senior Solutions Architect, AWS

12:05 - 12:40

Knowledge distillation transfers capabilities from large language models to smaller, faster models while maintaining performance. Organizations can achieve dramatic improvements in throughput and cost efficiency. Learn how to implement distillation using Amazon Bedrock or to build a custom solution on Amazon SageMaker. Julien Simon will showcase how Arcee AI uses distillation to develop industry-leading small language models (SLMs) based on open architectures. He will also introduce the open-source DistillKit library and demonstrate several newly distilled SLMs from Arcee AI.

Speakers:

• Laurens van der Maas, Machine Learning Engineer, AWS
  
• Aleksandra Dokic, Senior Data Scientist, AWS
  
• Jean Launay Orlanda, Engagement Manager, AWS
• Julien Simon - Arcee.ai

12:45 - 13:15

Enterprises investing in Generative AI (GenAI) or Agentic Workflows need more than just cutting-edge models—they need scalable, cost-efficient systems that deliver real business impact. In this session, we’ll show how Zerve’s distributed computing system unlocks the full potential of AWS Bedrock, reducing compute costs, accelerating AI deployment, and optimizing resource utilization. You’ll learn how enterprises as advanced as Canal+ and NASA as well as cutting edge startups are streamlining AI development, reducing infrastructure costs, and transforming GenAI into a scalable, high-impact business solution.

Speakers:

• Dr Greg Michaelson, Chief Product Officer, Zerve

13:15 - 14:15

14:15 - 14:45

It seems like there is a new LLM released every day, and each seems to have a vastly different price, so how do you choose the right model for your use case? Is one prompt better than another? This session delves into Trellix research into the performance and efficacy of various AI models for cybersecurity and how our framework for continuous model scoring allows us to use different combinations of models for efficiency by defining model strengths and limits. We’ll walk through our journey of real-world examples in which we use AI to make critical decisions to show the keys for developing your own long-term model and prompt management strategy.

Speakers:

• Martin Holste, CTO Cloud and GenAI , Trellix

14:50 - 15:30

In this session, discover the innovative content creation capabilities of Amazon Nova Video and Image Generators on Amazon Bedrock. Using Amazon Bedrock Agents, Amazon Marketing Cloud Data and Nova Pro learn how insights can be gathered to drive content creation. Experience the groundbreaking Nova Video Generator, which produces high-quality, realistic videos up to two minutes long with unparalleled visual and temporal consistency. Learn about its unique storyboarding feature for granular control over multi-scene videos. Also explore the Nova Image Generator, which offers state-of-the-art image generation and editing.

Speakers:

• Satoru Yamamoto, Chief AI Officer, Dentsu Digital Inc.
• Jeremy Bartosiewicz, Senior Solutions Architect, AWS
  
• Irene Marban Alvarez, Assc. Specialist SA, AWS

15:35 - 16:15

Amazon Logistics represents Amazon's dedicated delivery network, handling everything from Prime packages to furniture, groceries, and Fresh deliveries. This network bridges the critical "last mile" between fulfillment centers and customers' doorsteps through regional sortation centers and local delivery stations.

Managing this operation requires thousands of global delivery plans with multi-million parameters daily. Previously, manual analyst modifications led to $100M annual losses. By implementing Agentic GenAI (powered by Bedrock/LangChain) with deep statistical analysis, the system now leverages petabyte-scale data to ensure every route adjustment is backed by quantitative evidence rather than intuition..

Speakers:

• Subhro Bose, Sr. Data Architect-ProServe, AWS
  
• Mr. Saurabh Kaushik, Sr Mgr Software Development-Amazon Last Mile Planning, Amazon.com

16:20 - 17:00

In this session, learn how AR helps build transparent, responsible generative AI applications with AR Check—a new Amazon Bedrock Guardrails policy that uses sound mathematical techniques to reduce hallucinations, validate generative AI responses, and explain them in an auditable way. See how the Amazon Bedrock Guardrails policy can help users generate more accurate LLM responses on highly regulated topics, such as operational workflows, HR policies, and more. Learn about the different use cases for AR Checks and how to get started today.

Speakers:

• Olivier Mertens, Lead  AI Strategy & Architecture, Workhuman 
• Dani Mitchell, AI/ML Specialist SA , AWS
• Georgi Botsihhin, Solutions Architect, AWS

17:00 - 18:00

11:15 - 11:30

• Rick Sears, Director, Data Processing & Experiences, AWS

11:30 - 12:00

Unlock the power of integrated data and machine learning with Amazon SageMaker LakeHouse. This session explores how the LakeHouse architecture bridges data lakes and purpose-built data stores to accelerate analytics and AI workflows. Learn how to unify data storage, enable seamless data access, and simplify ML deployment using SageMaker’s capabilities. Discover real-world examples of how businesses achieve faster insights, scalable AI models, and streamlined operations. 

Speakers:

• Manan Goel, Principal PM , Redshift GTM , AWS
• Carlos Rodrigues, Senior Specialist Solutions Architect, AWS

12:05 - 12:40

Join us to learn how Kneat in partnership with AWS, is SaaS-ifying their analytics workload using Amazon Redshift, Glue and QuickSight. Kneat paperless validation software is used by 8 of the top 10 Pharma companies. From 2020 - 2023, they had undertaken the journey from on-prem to AWS and to scale using SaaS-native architectures. In this talk, we will hear their journey of modernisation of their reporting usecase and how they tackle scaling challenges by leveraging various AWS services.

Speakers:

• Aswathy Prasad, Solutions Architect, AWS
• Sean Daffy, Head of SRE and Ops, Kneat Solutions 
• Gary Fegan, Data Architect, Kneat Solutions

12:45 - 13:15

Discover how integrating Private AI with Edge computing and AWS can revolutionise data security and privacy. This session will explore cutting-edge techniques for deploying AI models at the edge, ensuring data remains secure and compliant. Learn from industry experts about real-world applications, best practices, and the future of AI-driven privacy solutions. Join us to unlock the potential of Private AI in safeguarding sensitive information while maximizing performance and efficiency.

Speakers:

• Matt Mould, Partner, Storm Reply Limited
  

13:15 - 14:15

14:15 - 14:55

Trellix, a global leader in adaptive cybersecurity solutions protecting over 40,000 corporate customers, will share their transformative journey of adopting AWS OpenSearch Service. This session explores how Trellix optimized their extensive log analytics and search capabilities by migrating to OpenSearch, resulting in millions of dollars in cost savings while maintaining superior performance and scalability. Learn about the challenges faced, architectural decisions made, and best practices implemented during this migration, providing valuable insights for organizations considering similar transitions to managed search solutions in the cloud.

Speakers:

• Pat Lynch, Senior Cloud Architect, Trellix
• VJ Kanniah, Senior Solutions Architect, AWS

15:00 - 15:30

This session dives into the latest features and enhancements of Amazon Q Business & Quicksight demonstrating how to deploy an Amazon Q Business application that leverages your enterprise content—empowering employees to answer questions, provide summaries, generate content, and securely complete tasks. Amazon Q in QuickSight now includes an AI-assisted data analysis experience that helps users find answers to complex problems quickly. Amazon Q simplifies in-depth analysis with step-by-step guidance, saving hours of manual data manipulation and unlocking data-driven decision-making across your organization. 

Speakers:

• Zac Woodall, Sr. Manager Q QuickSight, AWS
• Fatima Khakwani WW GTM Specialist Amazon Q Business
  

15:35 - 16:15

Discover how Mimecast transformed their data architecture from a traditional batch-processing system to a scalable, real-time data platform. Learn how they leveraged both AWS services (MSK, Glue) and open-source technologies (Trino) to build a robust data ingestion pipeline handling diverse workloads. We'll explore architectural decisions around domain-based cluster separation, data validation strategies, and intelligent query routing - sharing practical lessons from managing seasonal traffic patterns and ensuring system reliability. 

Speakers:

• Craig Metcalfe, Director of Data Platforms, Mimecast
• Ismail Makhlouf, Sr. Analytics SA, AWS
  

16:20 - 17:00

Discover how Amazon SageMaker Unified Studio unifies data and AI workflows by providing a single, governed environment for analytics and AI development. This session explores how Unified Studio consolidates tools for model development, generative AI app creation, data processing, and SQL analytics, enabling seamless collaboration across teams. Learn how to access data from diverse sources like S3 and Redshift, leverage AWS services (EMR, Glue, Bedrock, etc.), and build integrated data pipelines. See how Unified Studio can reduce time to access new tools by up to 50% and accelerate data project delivery by up to 40%. 

Speakers:

• Sandipan Bhaumik, Principal Analytics Solutions Architect, AWS
• Lydia Ray, Senior Analytics Solutions Architect, AWS

17:00 - 18:00

11:15 - 11:30

Speaker:

• Shyam Krishnamoorthy, Director, Distributed SQL
• Joseph Idziorek, Director, Nonrelational DBS , PMT - ES , AWS

12:05 - 12:40

In this session, discover how the architecture of DynamoDB overcomes the limitations of scale to power the most demanding applications on the planet, and learn when and why over one million AWS customers use DynamoDB to build scalable, high-throughput applications.

Speakers:

• Joseph Idziorek, Director, Nonrelational DBS , PMT - ES , AWS
• Aman Dhingra, Sr. Specialist Solutions Architect DynamoDB, AWS
• Lee Hannigan, Sr. Specialist Solutions Architect DynamoDB, AWS

12:45 - 13:15

Amazon Aurora DSQL is a new relational database that combines the best of serverless experience, Amazon Aurora performance, and Amazon DynamoDB scale. Aurora DSQL's distributed architecture is designed to make it effortless for organizations of any size to manage distributed workloads with strong consistency. In this session, you will learn about the fundamentals of Aurora DSQL. Learn how Aurora DSQL can work within your architecture, understand key considerations and tradeoffs, explore what an application architecture could look like, and more.

Speakers:

• Divya Sharma, Senior Specialist Solutions Architect, Databases, AWS
• Arun Sankaranarayan, Specialist Solutions Architect, Databases, AWS

13:15 - 14:15

14:15 - 14:45

In this session, we explore how Genesys leverages Amazon DynamoDB to power scalable and high-performance customer experience solutions. We’ll dive into key data modelling principles that enable optimal performance, cost efficiency, and flexibility. Learn how Genesys structures its data to meet the demands of real-time interactions, high availability, and seamless scalability. Whether you’re designing a new DynamoDB schema or optimizing an existing one, this talk will provide valuable insights into best practices and real-world implementation strategies.

Speakers:

• Claire Purcell, Manager, Software Development, Genesys
• Lee Hannigan, Sr. Specialisy Solutions Architect DynamoDB, AWS
  

14:50 - 15:30

Valkey is the new kid on the In-Memory block but is already seeing mass adoption from AWS' customers. Join us to hear about the latest innovations in Elasticache and MemoryDB Valkey services, and hear from Oisín de Condúin, Director of Engineering at Xtremepush, about the optimizations and feature accelleration that Valkey has helped deliver.

Speakers:

• Shane Adams, Manager, Database, Analytics and Storage Specialists, AWS
• Oisín de Condúin, Director of Engineering, Xtremepush

15:35 - 16:15

In this session, learn how Amazon Aurora PostgreSQL Limitless Database enables applications to scale to millions of transactions per second across petabytes of data. Explore the architecture, distributed transaction management, and serverless scaling capabilities of Aurora PostgreSQL Limitless Database. We will also look at the different flavours of Aurora and help you understand what workloads are best supported by each flavour.

Speakers:

• Venkatesh Periyathambi, Principal Data Solutions Architect, AWS
• Varvara Murphy, Senior Data Solutions Architect, AWS

16:20 - 17:00

Explore how we tackled the challenge of generating 100,000 unique short links in under 1 second without relying on queues. For precise SMS campaign tracking, discover how we developed an API endpoint that guarantees collision-free short-links. Leveraging Golang’s powerful concurrency model and DynamoDB’s transactional API , we optimized operations to write directly to the database while avoiding hot partitions and bottlenecks. Learn how we balanced speed, scalability, and data integrity to deliver a solution capable of handling up to 600 million links seamlessly. This session dives into the design choices, limitations, and optimizations that made it all possible.

Speakers:

• Gonzalo Rios, DevOps Lead, Rebrandly
• Alex Ischenko, Senior VP of Engineering, Rebrandly
• Zac Burns, Startup Solutions Architect, AWS

17:00 - 18:00

11:15 - 12:00

Exploring real-world case studies, our experts will demonstrate how organizations are leveraging this cutting-edge technology to drive creativity, efficiency, and innovation. From content creation and personalization to process automation and predictive modelling, attendees will gain practical insights into the diverse applications of generative AI . Whether you're a business leader or a technology enthusiast, this talk offers a thought-provoking look at the future of AI .

Speaker:

• Jonah Craig, Solutions Architect, AWS
• Kwex Nwachukwu, Principal Architect, Automat-it
  
• Aleksandra Jovovic, Sr. Solutions Architect, Automat-it

12:05  - 12:45

Join us for an engaging panel discussion featuring innovative startup founders who have successfully navigated the challenging landscape of building technology companies in the AI era. These visionary leaders will share their authentic, unvarnished stories of transformation, from identifying market opportunities and securing their first customers to scaling their businesses using cutting-edge AI and data technologies.

Speakers:

• Aine Mulloy, Startup Account Manager, AWS
• Phily Hayes, Co-Founder, Zerve
• Laura Haldane, Co-Founder, SciLeads 
• Ronan Murphy, Co-Founder, GetVisibility

13:15 - 14:15

14:15 - 15:00

In 2025, the startup funding landscape continues to evolve rapidly, particularly with the transformative impact of Generative AI reshaping entire industries. This panel discussion brings together leading venture capital investors to decode the current state of startup funding, share their strategic insights and provide their perspective on the key takeaways for startups.

Speakers:

• Jamie Heaslip, Strategic Growth Lead, Stripe
• Sarah Bogossian, Venture Partner, Elkstone Partners
• Ellen McCance Pinschmidt, Venture Partner, MiddleGame Ventures
• Dylan Scully, Investor, Frontline Ventures

15:00 - 16:00