Session ID: ET1S1
Language: English
Level: 200
Duration: 30mins
Speaker: Andrew Kane, WW Tech Leader - AI Services, AWS

Learn how AWS is democratizing generative AI across the stack to make it easier for customers to leverage this transformational technology to transform the way they engage with their customers and boost their employees’ productivity and creativity.

Session ID: ET1S2-P
Language: English
Level: 100
Duration: 30mins
Speaker: Rob Kernutt, EMEA AWS Solutions Architect, Elastic

In this session, learn how AI is helping to empower Observability. The rapidly evolving landscape of generative AI and large language models provides the perfect basis for an advanced, intelligent observability solution. Find out what Amazon Bedrock and Elastic Observability can offer together to enhance an Observability engineer's day-to-day role. We will take you through a demonstration of the integration in action, as well as highlight the benefits and next steps you can take.

Session ID: ET1S2-P
Language: English
Level: 100
Duration: 30mins
Speaker: Rob Kernutt, EMEA AWS Solutions Architect, Elastic

Generative AI represents an exciting new capability for all organizations, but the most impactful applications are those focused on tangible business value, not just technological novelty. In this session, get an overview of the most impactful current use cases of generative AI across business functions and key industries. Learn best practices for generative AI implementation that uplifts processes, empowers people, and shifts mindsets to unlock demonstrable business value.

Session ID: ET1S4
Language: English
Level: 200
Duration: 30mins
Speaker: Craig Suckling, Head of Data Strategy, AWS

Increasingly, generative AI is a global point of focus. In this session, Craig Suckling discusses how proper data management and leadership can drive innovative AI applications tailored to your business and customer needs. Learn about strategies to overcome common obstacles like siloed data, outdated governance, and legacy models, and gain insights into building solid data foundations and nurturing an innovative culture to maximize generative AI's value.

Session ID: ET1S5
Language: English
Level: 200
Duration: 30mins
Speaker: Markus Gerber, Senior Solutions Architect, AWS

Generative AI presents new opportunities to enhance customer experiences and satisfaction. In this session, we explore how businesses can leverage solutions like chatbots, virtual assistants, and voice-of-the-customer analytics to enhance customer experience and engagement.

Session ID: ET1S6
Language: English
Level: 200
Duration: 30mins
Speaker: Anna Grüebler, Senior AI Specialist Solutions Architect, AWS

Discover how Amazon Q, a generative AI assistant, enhances productivity in enterprises. Learn its capabilities in answering questions, summarizing, generating content, and task completion using your system data. This session covers implementing enterprise-grade access controls for user-specific responses, empowering employees to work efficiently, accelerate processes, and achieve impactful results.

Session ID: ET2S1
Language: English
Level: 200
Duration: 30mins
Speaker: Talha Chattha, AI/ML Specialist SA, AWS

Amazon Bedrock provides a broad choice of foundation models for your use cases. In this session, learn about what to consider while choosing between models, review sample architectures that describe how a certain model can help unlock a use case, and study some prompting guidance for the models you choose. Leave armed with knowledge about differences in models so you can decide on when to choose what.

Session ID: ET2S2
Language: English
Level: 300
Duration: 30mins
Speaker: Antonio Rodriguez, Sr AI/ML Solutions Architect, AWS

 Discover Amazon Titan, exclusive to Amazon Bedrock, harnessing 25 years of Amazon's AI and machine learning expertise. This session introduces Titan's foundation models (FMs) for image, multimodal, and text applications, accessible through a managed API. Learn how AWS pretrains these powerful, versatile models on extensive datasets, designed for various use cases and responsible AI usage. Explore their standard application or customization with your data.

Session ID: ET2S3-P
Language: English
Level: 200
Duration: 30mins
Speaker: Zeki Turedi, EMEA Field CTO, CrowdStrike

For another year, we once again see the adversary more persistent and quicker to target and victimise organisations. This session will not only look into the challenges caused by threat actors but also the role that Generative AI has to play, from an adversary perspective but more importantly from a defender’s perspective. Take a look into Charlotte AI, CrowdStrike’s generative AI investigator and how AI can be used to fight the threat factor.

Session ID: ET2S4
Language: English
Level: 300
Duration: 30mins
Speaker: Vikesh Pandey, Sr. GenAI/ML Specialist Solutions Architect, AWS

Customizing model responses enables you to deliver differentiated and personalized user experiences. In this session, learn about the different customization techniques offered by Amazon Bedrock, including model fine-tuning and continued pretraining as well as native support for end-to-end Retrieval Augmented Generation (RAG) to deliver more relevant and accurate responses using your proprietary data.

Session ID: ET2S5
Language: English
Level: 200
Duration: 30mins
Speaker: Andrew Kane, WW Tech Leader - AI Services, AWS

Learn to enhance productivity with fully managed agents on Amazon Bedrock. Beyond conversation and content creation, these agents can transact with company systems for multistep tasks like checking inventory or answering customer queries. This session explains creating agents through natural language orchestration of enterprise APIs and data. Discover how Athene, a retirement services leader, uses these agents to modernize legacy codebases and streamline workflows.

Session ID: ET2S6
Language: English
Level: 200
Duration: 30mins
Speaker: Bharathi Srinivasan, Data Scientist, AWS

Guardrails for Amazon Bedrock help organizations manage end-user experiences based on their application-specific requirements and responsible AI policies. You can deliver consistently safe user experiences through generative AI applications, no matter the underlying FM. Learn to create and enforce custom policies that filter out harmful content, and see demonstrations on applying these tailored guardrails with FMs and agents.

Session ID: ET3S1
Language: English
Level: 200
Duration: 30mins
Speaker: Natasha McCann, Senior Solutions Architect, AWS

Learn about AWS's vision for a zero-ETL future, enabling quick, easy access to data across silos for deeper insights. This session highlights the challenges of traditional ETL processes in integrating data from various sources and departments. Discover AWS's direct integrations between services, eliminating ETL for common use cases, to accelerate decision-making and enhance analytics, machine learning, and business intelligence capabilities, including third-party data integration.

Session ID: ET3S2
Language: English
Level: 200
Duration: 30mins
Speaker: Krishnan Rajaram, Analytics and ML Practice Lead, AWS

A data governance framework empowers organizations to protect, curate, and understand their data throughout its life cycle. In this session, learn how to structure a data governance program that includes people, process, and technology considerations—including those unique to a generative AI strategy—to directly support business initiatives and deliver results.

Session ID: ET3S3
Language: English
Level: 200
Duration: 30mins
Speakers: Vincent Gromakowski, Principal Analytics Solutions Architect, AWS
Olivier Bergeret, EMEA Data Service SA Leader, AWS

Discover the power of building impactful generative AI applications using your unique data. This session emphasizes that while foundational models are universally accessible, leveraging your own data sets you apart, creating solutions that understand your business and customers. Learn about alternative approaches to building LLMs, such as fine tuning existing models or enhancing prompts with RAG; explore three popular data patterns for generative AI; and delve into engineering context with RAG and Vector Data Stores.

Session ID: ET3S4-P
Language: English
Level: 200
Duration: 30mins
Speaker: Chris Hillman, International Senior Data Science Director, Teradata

This session will highlight integration capabilities between AWS and Teradata that deliver an enhanced joint solution for our shared customers. We will review recent innovations in Teradata Vantage and present case studies of cutting-edge AI implementations leveraging the strengths of both platforms to derive actionable insights and drive business value. By collaborating across organizations, we aim to provide customers with the tools and technologies needed to successfully execute analytics initiatives and achieve transformative business outcomes.

Session ID: ET3S5
Language: English
Level: 200
Duration: 30mins
Speakers: Anastasia Tzeveleka, Sr. AI/ML Specialist Solutions Architect.
Aris Tsakpinis, AWS &AI/ML Specialist Solutions Architect, AWS

Accelerate foundation model training on Amazon SageMaker with top-tier tools, ML compute infrastructure, and Amazon FSx for Lustre storage. Use SageMaker's interactive debugging and profiling to analyze model behaviors and hardware usage in real time. Optimize distributed training with efficient methods for foundation models and datasets. This session provides comprehensive guidance for customizing and pretraining foundation models, aiding in rapid generative AI development.

Session ID: ET3S6
Language: English
Level: 200
Duration: 30mins
Speaker: Samir Araujo, Princ. AI/ML Solutions Architect, AWS

Discover how AWS's advanced machine learning infrastructure powers generative AI, offering performance and cost effectiveness. This session showcases AWS's cutting-edge GPUs, purpose-built AWS Trainium and Inferentia accelerators, high-speed Elastic Fabric Adapter networking, and Amazon FSx for Lustre's data throughput capabilities. Learn about AWS's role as a prime cloud platform for training and deploying models, with insights into how customers successfully build, deploy, and scale large text and image generation models across various products and services.

Session ID: ENT01
Language: English
Level: 200
Duration: 30mins
Speaker: Marco Sgroi, Generative AI GTM Specialist EMEA, AWS

The session presents a blueprint for business leaders of enterprises planning to use generative AI to transform how they engage with customers, improve productivity, and augment business processes.

Session ID: ENT02
Language: English
Level: 200
Duration: 30mins
Speakers: Talha Chattha, AI/ML Specialist SA, AWS

In this session, learn about AWS generative AI services powered with foundation models and how these services enhance employee productivity. We will cover services that can be consumed as is, adopted to develop applications, and used to build a generative AI strategy from scratch.

Session ID: ENT03
Language: English
Level: 200
Duration: 30mins
Speaker: Eduardo Ordax Duque, Principal Go To Market AI/ML EMEA, AWS

Building generative AI applications and models brings an abundance of new opportunities. This track addresses the key decisions developers must make, as well as the tools available to make it happen quickly and successfully. From building your own models in Amazon SageMaker to using Amazon Bedrock to quickly implement generative AI, learn about the options to innovate with the most cost-effective infrastructure.

Session ID: ENT04
Language: English
Level: 200
Duration: 30mins
Speakers: Paola Lorusso, Manager, Database Specialist SA, AWS.
Cedric Pelvet, Principal OpenSearch SA, AWS

The true power of generative AI goes beyond search engines or chatbots. Data is the differentiator to moving from generic applications to generative AI applications that create real value for your customers and business. In this session, we explore our comprehensive set of services for your data foundation and how to build a modern data strategy to store, query, analyze, and act with your data.

Session ID: ISV01
Language: English
Level: 200
Duration: 30mins
Speakers: Steven Fung, Head of AI & Machine Learning - ISV, AWS

Explore how CxOs harnesses generative AI with AWS for business optimization. This session covers the generative AI landscape and its impact on enterprise software, enhancing automation and creativity. Learn from success stories and case studies of AWS implementations. Delve into AWS's generative AI products, such as Amazon Bedrock and Amazon Q, and their integration in the cloud ecosystem. Understand decision-making and ownership aspects for adopting generative AI and get a roadmap to start with AWS.

Session ID: ISV02
Language: English
Level: 200
Duration: 30mins
Speakers: Amit Lulla, Principal Solutions Architect, AWS

Discover how AWS's generative AI services empower ISVs to boost innovation and efficiency in software development. This session highlights the use of machine learning to augment human capabilities, accelerating product and feature delivery while managing costs. Learn about leveraging Amazon Bedrock for selecting foundation models to start your generative AI journey and using Amazon CodeWhisperer for automated code suggestions, maximizing time-to-value in the fast-paced ISV environment.

Session ID: ISV03
Language: English
Level: 200
Duration: 30mins
Speaker: Kilian Ruess, SaaS Advisor, AWS

From successful proof-of-concept implementations to commercialization, key questions arise: What pricing strategies are effective? How much are customers willing to pay? When calculating the business case, generative AI has many moving parts and providers’ consumption-based pricing model creates challenges. In this session, we help you navigate this journey based on the principles of value-based pricing.

Session ID: ISV04
Language: English
Level: 100
Duration: 30mins
Speaker: Adam Rosen, QuickSight Specialist, AWS

Explore how Amazon QuickSight's generative BI transforms data interaction and software value. This session showcases how business analysts can use natural language to create dashboards, enabling users to query data effortlessly. Learn how generative BI helps in crafting compelling narratives for decision-making and how developers can integrate these features into applications, offering unique monetization and differentiation opportunities with data.

Session ID: ISV05
Language: English
Level: 200
Duration: 30mins
Speaker: Adam Rosen, QuickSight Specialist, AWS

In this session, learn how to add interactive insights and differentiate your applications with Amazon QuickSight. Discover how you can embed visualizations, dashboards, and ML-powered natural language query into your applications at scale, with no infrastructure to manage. Explore real-world examples of AWS customers who have successfully incorporated powerful analytics into their applications, delivering insights and self-service capabilities to thousands of users.

Session ID: SUP01
Language: English
Level: 100
Duration: 30mins
Speakers: Basil Fateen, Principal Startup Advocate, AWS.
Ceren Tahtasiz, Startup Solutions Architect, AWS

Dive into the practical aspects of generative AI for startups in this beginner-friendly session. Explore how generative AI impacts your business revenue and costs, understand the different kinds of generative AI services and their pricing, and discover which kind of generative AI is most impactful for each stage of the startup journey. Finally, experience prompt engineering firsthand by creating our ideal startup co-founder.

Session ID: SUP02
Language: English
Level: 300
Duration: 30mins
Speakers: Giuseppe Battista, Senior Solutions Architect, AWS.
Kevin Shaffer-Morrison, Senior Solutions Architect, AWS

Let Kevin and Giuseppe show you how to start building with generative AI on AWS. In this session, we build up to a fully serverless Retrieval Augmented Generation application using Amazon Bedrock, Simple Storage Service (S3), and Lambda functions. We also dive deep into the economics of building your generative AI MVP, giving you tools and methods to evaluate the cost of your application, so you can build your business model with confidence.

Session ID: SUP03
Language: English
Level: 200
Duration: 30mins
Speaker: Jenny Vega, Sr Solutions Architect, AWS

Most founders know how they can build a value proposition around generative AI and use chatbots for their own productivity. But the ones who also use generative AI to supercharge internal ops have a huge competitive advantage. Because startups have limited resources, it’s critical to get the most ROI from the team and gain key insights from every effort. Today, we demonstrate how to use Amazon Bedrock Knowledge Bases and Agents to accomplish this mission.

Session ID: SUP04
Language: English
Level: 100
Duration: 30mins
Speaker: Tobias Halloran, Principal ML BD, AWS

In this session, we focus on taking your generative AI model/tool/application to market with a hyperscaler like AWS. We discuss this in three segments: exploring enterprise asks in generative AI, explaining how a hyperscaler like AWS can support your GTM journey with enterprise customers, and demonstrating our programmatic offerings at the three phases of your generative AI startup life cycle (early, growth, and scale).

Session ID: SUP05
Language: English
Level: 200
Duration: 30mins
Speaker: Alena Schmickl, Startup Solutions Architect, AWS

Trust is paramount in a startup, and safeguarding the responsible use of generative AI is crucial for preserving this trust. Join this session to grasp the foundational principles of responsible AI, understand considerations and best practices for using and building generative AI apps, and explore regulations in the generative AI field. You’ll leave with an action plan to navigate your generative AI endeavors, ensuring trust and responsibility in your startup journey.