Navigating the Foundation Model Landscape: Build vs. Buy with Orfium

Michael Petychakis | Chief Technology Officer, Dialectica & AI Advisor & Board Member, Orfium

Learn to navigate the decision-making process for building or adopting custom GenAI models. Explore key signals, resource requirements, and use cases to identify the best approach for your organization.

Building Custom Generative AI Applications Using Haystack with deepset

Mathis Lucka & Dmitri Laptev | VP Product, deepset & Sr. Startup Solutions Architect, AWS

Discover how deepset accelerates enterprise-grade GenAI applications with Haystack. Learn about retrieval-augmented generation, semantic search, and fine-tuning language models.

AWS custom silicon 101: your guide to adopting Amazon Graviton, Inferentia and Trainium

Mike Dukes & Andy Kane | Specialist GTM Senior Manager for Startups & Senior Specialist Solutions Architect, AWS

Unlock the potential of AWS custom silicon for cost-efficient and high-performance ML workloads. Explore Graviton, Inferentia, and Trainium chips and their use in training and inference.

Optimize your AI inference workloads on Amazon SageMaker for best price performance

Tomas Sykora | Principal Solutions Architect, AWS

In this session, you’ll explore a range of AI inference patterns, from multi-modal, multi-tenant, and multi-adapter approaches to real-time, batch, and serverless deployments. Discover how these strategies can optimize the price-performance of your AI workloads.

Choose wisely! - Conscious decisions running GenAI projects, AUDI AG success story

Daniel Buchholz | Kashif Akhtar | Francesco Ongaro | Principal | AI Engineer | Senior Manager, Storm Reply

GenAI’s rapid rise left many stuck in the "chatbot era," leading to misconceptions. Success requires more than selecting an LLM and feeding it text. This session explores common pitfalls and how strategic decisions shape outcomes. Learn how AUDI AG leveraged multi-agent architecture to automate complex tasks efficiently and maximize GenAI’s real-world impact.

High-Performance Generative AI on Amazon EKS

Mehdi Yosofie | Startup Solutions Architect, AWS

Discover how Amazon EKS supports the infrastructure needs of Generative AI with GPU acceleration and scalability. Gain insights into cost optimization and best practices for high-performance deployments.

From Months to Minutes Scaling ROI with Generative AI

Sascha Heyer | Senior Machine Learning Engineer, DoiT

Discover how Generative AI is transforming businesses by making AI solutions faster, cost-effective, and scalable. Learn how transitioning from traditional AI to Generative AI reduced costs from $108,000 to $360 annually. This session will cover evolving AI trends, prioritizing impactful use cases, key ROI drivers, and how ideas can go into production in just 3 minutes.

Scaling Generative Audio AI: Unlocking Serverless GPU with ai|coustics

Corvin Jaedicke & Mehdi Yosofie | CTO, ai|coustics & Startup Solutions Architect, AWS

Discover how ai|coustics leverages scalable infrastructure to develop generative audio models efficiently. Learn strategies for managing model sizes, addressing real-time audio processing challenges, and deploying with serverless compute on AWS and Modal. Gain insights into optimizing data pipelines, scaling models, and deploying real-time audio solutions to drive AI innovation.

Next generation of Amazon SageMaker: the center for all your data, analytics, AI, and governance

Jorge Nole Alarcon | Startup Solutions Architect, AWS

Discover the expanded Amazon SageMaker ecosystem, featuring AI Lakehouse and zero-ETL integration. Explore its capabilities for unified analytics, model development, and enterprise governance.