Accelerate innovation with Generative AI

Join us Online for a date with Generative AI + Data. Learn directly from AWS experts, customers, and partners on how you can get an early win in your generative AI journey with AWS.
 29 February 2024 | Online | Generative AI + Data Edition
09:00 - 13:00 GMT | 10:00 - 14:00 CET

  Europe, Middle East & Africa

Agenda

  • Tracks
    • Opening keynote

      Opening Keynote

      How do you move from hype to substance When it comes to generative AI, how do you move from hype to substance? In this keynote, Tom Godden, AWS Director of Enterprise Strategy, shares insights about adopting this technology effectively. Learn from customer experiences, develop a tailored AI strategy, and understand best practices for use case selection and responsible usage. Leave equipped with practical knowledge to leverage generative AI in your organization.

      Session ID: KEY01
      Language: English, French, German, Spanish & Italian
      Level: 100
      Duration: 30mins
      Speaker: Tom Godden, Director, Enterprise Strategy, AWS

    • Opening keynote

      The Generative AI Business Journey

      In this track, learn how developers, DevOps, and DBAs across industries are using AWS Databases Services to lower costs, innovate faster, and increase productivity with automated advanced operational techniques.

      Democratizing generative AI

      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.

      Elastic: Modernize operations with Elastic AI Assistant

      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.

      Generative AI use cases

      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.

      Vision to value: Make data your differentiator for generative AI

      Session ID: FPA04
      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.

      Enhancing customer experiences with generative AI

      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.

      Boost employee productivity with Amazon Q

      Session ID: FPA05
      Language: English
      Level: 200
      Duration: 30mins
      Speaker: Nikhil Anand, Senior 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.

    • Opening keynote

      Building and scaling with generative AI (BEDROCK)

      In this track, learn how to build modern data architectures and re-invent your businesses with data using AWS Analytics Services.  From data movement, data storage, data lakes, big data analytics, operational analytics, real-time analytics, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price-performance, scalability, and lowest cost.

      Model choice in Amazon Bedrock

      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.

      Explore Amazon Titan foundation models in Amazon Bedrock

      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.

      CrowdStrike: Tackling cybersecurity challenges with generative AI

      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.

      Tailoring generative AI for Business with Custom Data

      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.

      Simplify generative AI app development with Agents for Amazon Bedrock

      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.

      Build responsible AI applications with guardrails for Amazon Bedrock

      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.

    • Opening keynote

      Prepare your data for GenAI & build Foundation Models

      In this track, learn how builders can prepare data and build, train, and deploy ML models for any use case and enable no code, low code ML predictions with Amazon SageMaker to democratize access to ML.

      Connect and analyze all your data with zero-ETL

      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.

      End-to-end data and machine learning governance on AWS

      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.

      Data patterns for generative AI applications

      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.

      Trusted AI and AI Unlimited

      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.

      Train and tune your own foundation model

      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.

      A deep dive on AWS infrastructure powering the generative AI boom

      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.

    • Opening keynote

      For Enterprises

      In this track, you will learn how AWS helps you break down data silos with data lakes, data warehouses, and integrations between AWS data and machine learning services. We will also cover how AWS helps you connect to all your data — no matter where it lives. Also learn how to use AWS AI Services to easily add AI capabilities to your applications to solve common AI use cases, like personalization, intelligent search, and predictive maintenance, no ML experience required.

      The generative AI blueprint for enterprise leaders

      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.

      Boost productivity and creativity: Enhance organization capabilities using generative AI

      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.

      Building and scaling with generative AI

      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.

      Data as your differentiator for generative AI

      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.

    • Opening keynote

      For ISVs

      In this track, you will learn how AWS enables data security, governance, and resiliency across the entire data journey. We will also explore how you can address large-scale data access challenges.

      Optimising your business with AWS generative AI: Executive edition

      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.

      Delivering innovation using Generative AI for ISVs

      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.

      Monetizing your generative AI innovation

      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.

      Generative AI: Revolutionizing business intelligence for ISVs

      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.

      Generative BI and embedded analytics: Monetize your 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.

    • Opening keynote

      For Startups

      Welcome to this track which has been tailored with Startups in mind. Here you can find content, resources and experts during the live event. Discover a wide range of AWS Data & AIML services across 5 sessions unique to Startups. Understand how you can future proof your applications, scale your workloads, empower builders and keep a data driven organization secure. Engage with our speakers live and attend our sessions to further your knowledge.

      How to start a startup with an AI co-founder

      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.

      Build and monetize your generative AI MVP on AWS

      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.

      Supercharge internal operations with generative AI and your data

      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.

      Go-to-market in generative AI with AWS

      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).

      Safeguarding the responsible use of generative AI

      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.

    • Opening keynote

      Interactive Builder Track

      Welcome to AWS Training and Certification track, tailored to your learning needs. Here, you can find content, resources and expertise to help you build your cloud-skills. Engage with our speakers live to further your knowledge and attend our AWS Jam to test your AWS cloud know-how.

      Opening keynote

      AWS JAM

      Test your cloud-skills by solving challenges that emulate real AWS use cases! In this session, we conduct an AWS JAM, giving you the unique chance to test your AWS knowledge and problem-solving skills in a free lab environment. The JAM works via a “Play - Learn – Validate” structure and gives you the chance to solve real-world problems related to various topics. Win amazing prizes like classroom training, certification vouchers, and Amazon devices! See you there!

      Session ID: JAM01
      Language: English
      Level: 200
      Duration: 180mins
      Speakers: Laura Verghote, Territory Solutions Architect, AWS.
      Matheus Guimaraes, Senior Developer Advocate, AWS.
      Marco Tamassia, Principal Technical Trainer, AWS

    • Opening keynote

      Closing Live Q&A

      Want more? Get your questions answered at the closing live Q&A session with AWS experts and discover more how you can leverage today's content and expertise to help improve your business journey.

      Session ID: LQ&A
      Language: English
      Level: 100
      Duration: 60mins
      Speakers: Laura Verghote, Territory Solutions Architect, AWS.
      Matheus Guimaraes, Senior Developer Advocate, AWS

    • Opening keynote

      French

      In this French track, you will discover a wide range of Data & AIML services offered by AWS across 5 unique sessions. Understand how you can future proof your applications, scale your workloads, empower builders and govern a data driven organization. All content will be presented in French supported by live French speaking experts on the day of the event.

      Build responsible AI applications with guardrails for Amazon Bedrock

      Session ID: FRA01
      Language: French
      Level: 300
      Duration: 30mins
      Speaker: Christian Kamwangala, Solutions Architect, AWS

      Guardrails for Amazon Bedrock empowers customers to enforce protective measures aligned with responsible AI principles across all FMs. Craft tailored guardrails for various use cases and apply them to multiple FMs, ensuring a consistent user experience and standard security controls. Learn to create custom policies to regulate interactions with Basic Models (FMs), effectively filtering out prohibited content. View demonstrations on implementing responsible AI policies by creating and applying custom guardrails in your generative AI applications.

      Improve employee productivity with Amazon Q

      Session ID: FRA02
      Language: French
      Level: 200
      Duration: 30mins
      Speaker: Khalil Mouakher, Solutions Architect, AWS

      Attend this session to discover how Amazon Q can become an asset to boost the productivity of your internal teams. Amazon Q is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and complete tasks based on your own business data. Learn how to implement quality access controls, ensuring users get appropriate responses based on their permissions, and enable your employees to work smarter, faster, and have more meaningful impact.

      Improving customer experience with generative AI

      Session ID: FRA03
      Language: French
      Level: 200
      Duration: 30mins
      Speaker: Adrien Lebret, Solutions Architect, AWS

      Generative AI presents new opportunities to improve customer experience and satisfaction. In this session, we explore how businesses can leverage solutions like chatbots, virtual assistants, and customer call analytics to improve customer experience and engagement.

      Simplify generative AI application development with Agents for Amazon Bedrock

      Session ID: FRA04
      Language: French
      Level: 300
      Duration: 30mins
      Speaker: Ovidiu-Constantin Iacoboaiea, Applied Scientist, AWS

      Unlock the full potential of FMs with Fully Managed Agents on Amazon Bedrock. These agents empower generative AI to effortlessly tackle complex, multistep tasks within enterprise systems and data sources. No more prompts, model training, or manual system connections required. Agents handle tasks like customer inquiries and inventory checks. Discover how to build agents by securely orchestrating enterprise APIs and data through natural language interfaces.

    • Opening keynote

      German

      In this German track, you will discover a wide range of Data & AIML services offered by AWS across 5 unique sessions. Understand how you can future proof your applications, scale your workloads, empower builders and govern a data driven organization. All content will be presented in German supported by live German speaking experts on the day of the event.

      Data patterns for generative AI applications

      Session ID: DEU01
      Language: German
      Level: 200
      Duration: 30mins
      Speaker: Ovidiu Hutuleac, Sr. Solutions Architect, AWS

      Generative AI has captured imaginations and is transforming industries. However, to take full advantage of generative AI’s benefits, you need an effective data strategy. Foundation models and other large language models require data to deliver a domain-specific experience, whether for contextual learning, fine-tuning, or training purposes. In this session, learn how to formulate an effective data strategy to develop generative AI applications and accelerate your efforts using data-centric architectural patterns.

      Simplifying development of generative AI applications with Amazon Bedrock agents

      Session ID: DEU02
      Language: German
      Level: 300
      Duration: 30mins
      Speaker: Katja-Maja Kroedel, Senior AI/ML Specialist SA, AWS

      Discover how fully managed agents for Amazon Bedrock empower generative AI to seamlessly interact with enterprise systems, streamlining multistep tasks without the hassle of prompts, model training, or manual system connections. These agents can handle a wide range of tasks, from customer inquiries to inventory checks, making it easier to integrate natural language processing into your workflow. Join us to learn how to create agents that securely orchestrate enterprise interfaces and data with ease.

      Generative AI use cases

      Session ID: DEU03
      Language: German
      Level: 100
      Duration: 30mins
      Speaker: Franz Stefan, Specialist Solutions Architect, AWS

      Generative AI offers exciting new potential for all companies, but the most impactful applications are those that focus on tangible added value, not just technological innovation. In this session, you receive an overview of the most influential current use cases of generative AI in business areas and key industries. Learn more about proven methods of generative AI implementation to improve processes and change mindsets that create demonstrable added value.

      Increase employee productivity with Amazon Q, your business expert

      Session ID: DEU04
      Language: German
      Level: 100
      Duration: 30mins
      Speaker: Flora Eggers, Solutions Architect, AWS

      Are you struggling to deliver generative AI to your employees safely and quickly? In this session, learn how Amazon Q offers fast, secure access to the possibilities of generative AI. Amazon Q understands natural language, delivers contextual answers using connected data sources, summarizes documents, generates content, and automates activities across enterprise applications and data sources. Learn how to implement Amazon Q with enterprise-grade access controls that ensure users receive appropriate responses based on their permissions.

    • Opening keynote

      Italian

      In this Italian track, you will discover a wide range of Data & AIML services offered by AWS across 5 unique sessions. Understand how you can future proof your applications, scale your workloads, empower builders and govern a data driven organization. All content will be presented in Italian supported by live Italian speaking experts on the day of the event.

      Quickly adopting generative AI services

      Session ID: ITA01
      Language: Italian
      Level: 100
      Duration: 30mins
      Speakers: Veziona Ekonomi, Solutions Architect Manager, AWS

      Generative intelligence is becoming a fundamental topic for improving business processes, products, and all-round productivity. Today, AWS provides a set of cloud services that facilitate the development and integration of generative intelligence. Services such as Amazon Q, Bedrock and SageMaker Jumpstart, but also more infrastructural services such as Inferenzia and Trainium, are available to all AWS customers. In this session, we explore all the news in this area.

      Exploring the AWS infrastructure behind the generative AI boom

      Session ID: ITA-02
      Language: Italian
      Level: 200
      Duration:
      30mins
      Speaker: Chiara Brandle, Principal Solutions Architect, AWS

      Discover AWS's powerful, scalable, and cost-effective machine learning infrastructure for generative AI. Explore cutting-edge GPUs, purpose-built accelerators like AWS Trainium and AWS Inferentia, and high-speed networking options such as Elastic Fabric Adapter and Amazon FSx for Lustre. Join us to learn about AWS infrastructure innovation and real-world success stories from customers who have effectively trained and deployed large text and image generation models using our diverse range of products and services.

      Fine-tuning and pre-training with Amazon Bedrock

      Session ID: ITA03
      Language: Italian
      Level: 300
      Duration: 30mins
      Speaker: Matteo Calabrese, Sr Business & Delivery Architect | Data & AI, AWS

      Enhance your industry-specific offerings with Amazon Bedrock Custom Models, offering two streamlined customization options. First, fine tune FM base models using your labeled training dataset to boost accuracy. Second, continue pretraining basic models with your unlabeled data in a secure, customer-managed key environment, enhancing their domain-specific knowledge and adaptability. This session explores both techniques, empowering you to achieve superior results with Amazon Bedrock Custom Models without requiring specialized in-house skills.

      Boost business with generative AI: Amazon Q and Amazon Bedrock

      Session ID: ITA04
      Language: Italian
      Level: 200
      Duration: 30mins
      Speaker: Arian Rezai Tabrizi, Solutions Architect, AWS

      Generative AI is an important tool for improving the efficiency of business activities. In this session, explore three AWS innovations in this area: Amazon Q, the AI-powered generative assistant; Agents for Amazon Bedrock, a feature that allows FMs to perform complex tasks; and, finally, Guardrails for Amazon Bedrock, a tool for implement Responsible Artificial Intelligence policies.

    • Opening keynote

      Spanish

      In this Spanish track, you will discover a wide range of Data & AIML services offered by AWS across 5 unique sessions. Understand how you can future proof your applications, scale your workloads, empower builders and govern a data driven organization. All content will be presented in Spanish supported by live Spanish speaking experts on the day of the event.

      Exploring Amazon Titan foundation models on Amazon Bedrock

      Session ID: ESP01
      Language: Spanish
      Level: 300
      Duration: 30mins
      Speaker: Eduardo Ordax Duque, Head of Generative AI Business Development, AWS

      Discover the Amazon Titan family of models, available exclusively on Amazon Bedrock. Benefit from Amazon's 25 years of AI and machine learning expertise with these high-performance text, multimodal, and image models, accessible via a fully managed API. Join us to explore how AWS develops and pretrains Amazon Titan models on extensive datasets, creating versatile, responsible AI solutions suitable for diverse use cases. Leverage these models as-is or customize them privately with your data.

      Building and scaling with generative AI

      Session ID: ESP02
      Language: Spanish
      Level: 200
      Duration: 30mins
      Speaker: Antonio Rodriguez, Sr. AI/ML Solutions Architect, AWS

      New models or applications that use generative AI bring with them a new world full of opportunities. This session covers the key decisions that developers must make when working with generative AI, as well as the tools to make this possible in a fast and successful way. From building your own models in Amazon SageMaker to using Bedrock to implement generative AI, you'll learn about the different options AWS provides you.

      Developing a data governance and machine learning program with AWS

      Session ID: ESP03
      Language: Spanish
      Level: 200
      Duration: 30mins
      Speaker: Manuel Delgado Tenorio, Analytics Specialist, AWS

      A data governance framework enables organizations to protect, manage, and understand their data throughout its life cycle. In this session, discover how to structure a government program that covers not only data management but also its activities around machine learning, integrating aspects of people, processes, and technology—all this to directly support business initiatives and obtain effective results. Additionally, explore specific considerations for a successful strategy with generative AI.

      Improving the customer experience with generative AI

      Session ID: ESP04
      Language: Spanish
      Level: 200
      Duration: 30mins
      Speaker: Ignacio Sanchez Alvarado, Solutions Architect, AI/ML Specialist, AWS

      Generative AI is a perfect tool when it comes to interacting with our end customers. In this session, learn how to use generative AI to improve our final customer experience. We explain specific use cases, discuss the competitive advantages that generative AI offers us in this area, and demonstrate what services to use and how to start developing projects to improve the end customer experience in AWS.

Session levels designed for you

INTRODUCTORY
Level 100

Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.

INTERMEDIATE
Level 200

Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.

ADVANCED
Level 300

Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.

EXPERT
Level 400

Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations.