AIM302 | KONE safeguards AI applications with Amazon Bedrock Guardrails

Amazon Bedrock Guardrails enables organizations to deliver consistently safe and moderated user experiences through generative AI applications, regardless of the underlying foundation models (FM). Join the session to deep dive into how guardrails provide additional customizable safeguards on top of the native protections of FMs, delivering industry-leading safety protection. Finally, hear from KONE's CEO on how they use Amazon Bedrock Guardrails to provide safe and accurate real-time AI support to 30,000 technicians that execute 80,000 field customer visits per day. Get their tips on adoption of responsible AI principles that deliver value while achieving productivity gains.

AIM306 | Tool use & agents at the frontier: Advanced techniques for LLM actions

Base LLMs can read and write but aren't capable of acting on their own. Tool use and agents allow models to connect to your APIs and other real-world systems to turn their knowledge into action. Discover how to use advanced prompt engineering and clever system design to craft powerful automations using Anthropic’s Claude models in Amazon Bedrock, learning specialized tool syntax and optimizing solutions through strategic planning. Also, learn how frameworks like Amazon Bedrock Agents are pushing the boundaries of AI capabilities. Join us to explore the forefront of AI-driven automation and elevate your LLM skills.

AIM307 | Reduce FM deployment costs and latency with Amazon SageMaker

Organizations need robust, scalable, and cost-effective solutions to deploy and serve foundation models (FMs). This session explores how to use Amazon SageMaker to deploy FMs to make predictions at the best price performance for any use case. Get a detailed overview of deployment strategies to support large-scale generative AI inferencing, and learn how to architect solutions that optimize performance and cost.

AIM308 | Train large models on Amazon SageMaker for scale and performance

Amazon SageMaker offers the highest-performing ML infrastructure and a resilient training environment to help you train foundation models (FMs) for months without disruption. Top AI companies, from enterprises to startups, build cutting-edge models with billions of parameters on SageMaker. Discover how you can save up to 40% in training time and costs with state-of-the-art training capabilities such as Amazon SageMaker HyperPod, training jobs, and optimized distributed training frameworks. Join this session to learn how to run large-scale, cost-effective model training on SageMaker to accelerate generative AI development.

ANT405 | Data engineering for ML and AI with AWS analytics

The performance and accuracy of AI and ML systems directly depend on the quality, relevance, and integrity of the data, which are used to either train the model or accessed as part of Retrieval Augmented Generation (RAG) systems for generative AI assistants. Data engineering plays a crucial role in ensuring high-quality data is available, accessible, and usable for successful AI and ML implementations, allowing models to learn, reason, and act effectively. This session explores how AWS analytics provides complete engineering solutions for ingesting, storing, processing, and integrating data and making the data accessible for generative AI chat assistants and other AI and ML applications.

ANT302 | Data foundation in the age of generative AI

An unparalleled level of interest in generative AI is driving organizations of all sizes to rethink their data strategy. While there is a need for data foundation constructs such as data pipelines, data architectures, data stores, and data governance to evolve, there are also business elements that need to stay constant such as organizations wanting to be cost-efficient while efficiently collaborating across their data estate. In this session, learn how laying your data foundation on AWS provides the guidance and the building blocks to balance both needs and empowers organizations to grow their data strategy for building generative AI applications.

ANT303 | Explore what’s new in data governance with AWS analytics

Join this session to explore the latest innovations and features in AWS analytics that are revolutionizing data governance. Expert presenters guide you through the exciting developments in services like Amazon DataZone, AWS Lake Formation, and AWS Glue that are empowering organizations to establish robust data governance frameworks while maintaining stringent compliance standards.

ANT304 | Accelerating the shift from batch to stream processing

In today’s fast-paced business environment, timely insights from data are crucial for organizations to maintain a competitive edge and respond effectively to dynamic market and customer demands. This chalk talk explores the transformative shift from traditional batch processing to stream processing, enabling real-time data-driven decision-making. Gain insights into key streaming concepts, architectural patterns, potential challenges, and best practices for a seamless migration journey. Through a compelling use case demonstrating the benefits of transitioning to real-time data processing with AWS streaming services, you can acquire a roadmap for embracing stream processing and unlocking agility, responsiveness, and competitive advantage.

ANT305 | Strategies for efficient zero-ETL integrations

In this chalk talk, learn techniques for extracting data from diverse sources, advanced transformation methods for data cleansing and enrichment, and optimized loading into data warehouses and data lakes. Real-world use cases showcase how organizations have overcome ETL challenges and unlocked the potential of their data assets. Gain comprehensive insights into streamlining ETL processes, handling large-scale data volumes, ensuring scalability and performance, and using ETL to drive data-driven decision-making, foster innovation, and gain a competitive edge.

ARC201 | Scaling on AWS for the first 10 million users

In this session, learn about patterns and techniques for architecting to handle rapid growth and success of your business’s infrastructure on AWS. Learn how to think about when to scale up versus when to scale out, where caching can help you best, and common points on the journey where breaking up your application into new services makes sense. From utilizing already highly scalable AWS services to architecting distributed system patterns, there are a number of choices you can make early on to help you overcome some common infrastructure challenges later. Come learn how to be ready to overcome the infrastructure challenges that can come with success.

ARC301 | Rapidly build a generative AI–based full-stack application on AWS

Building a full-stack application involves multiple components and demands a diverse set of technical skills and tools, which can be highly challenging and time-consuming even for experienced developers. In this builders’ session, explore strategies for rapidly building a generative AI–based digital training platform. Use AWS Amplify Gen 2, a new code-first developer experience, combined with the open source design library Cloudscape to quickly build and deploy a full-stack application. Use the robust functionalities provided by Amazon Bedrock to generate summaries for the content uploaded to the platform. Learn how to build and deploy an e-learning platform that is ready for real-world usage. You must bring your laptop to participate.

ARC202 | A capability-oriented approach to defining your cloud architecture

When you’re architecting workloads, you have a choice of over 200 AWS services. However, it doesn’t have to be overwhelming to pick the right services for your architecture. By defining your workload in terms of the capabilities required by your system, a combination of functional and nonfunctional requirements, you can simplify your choices. By defining your system’s important differentiating characteristics, you will find yourself naturally aligning the right AWS services to the capabilities required by your system. In this chalk talk, learn how to organize your system by capabilities and discover the architectural characteristics to pick the right services for those capabilities.

BIZ201 | How the U.S. Army uses AWS Wickr to secure mission-critical comms

Seamless and secure collaboration is central to operational success. Join this session to discover how the U.S. Army uses AWS Wickr to protect critical communications between various units, mission partners, and citizens. You’ll learn how your organization can deploy the end-to-end encrypted communication capabilities, data residency controls, and administrative features AWS Wickr provides to protect messages and files, manage users and policies, and retain conversations in a data store of your choice to meet regulatory needs.

BIZ203 | What’s next in contact centers with Amazon Connect and generative AI

Today’s business and contact center leaders are looking at how AI technologies like generative AI can accelerate innovations that better serve customers, assist and empower agents, and uncover customer and business insights from their data. Join this session to hear how companies are optimizing their operations and everyday agent work to deliver better outcomes for their customers and business.

BIZ204 | Smarter, faster, better: Using generative AI on your supply chain data

Join this chalk talk to learn how you can use the generative AI capabilities in AWS Supply Chain to get more value from your supply chain data. The talk includes an interactive discussion about how you can access a broader range of data faster, then use that data with the help of generative AI to minimize risk, lower costs, and make better supply chain decisions.

COP304 | Monitor end user experience with Amazon CloudWatch

By extending application performance monitoring to end users as well as frontend experiences, AWS digital experience monitoring enhances customer experiences with an outside-in perspective of application performance across all user touchpoints. Such user experience data provides a complete picture and helps organizations turn frontend performance, user behavior, and APIs into actionable KPIs such as release velocity, adoption rate, and conversions. In this builders’ session, learn how applications behave by monitoring both real and synthetic user activity and behavior, using data from ISPs and AWS, and capturing insights from backend infrastructure and devices as well as digital user metrics. You must bring your laptop to participate.

COP301 | Set up a secure AWS environment with AWS Control Tower

Organizations operating in the cloud want to be able to move quickly while remaining secure. In this workshop, learn how AWS Control Tower provides you with the capabilities to simplify the building, management, and governance of a multi-account AWS environment. Gain hands-on experience with how to use AWS Control Tower, including enrolling accounts, automating account customization, and establishing security controls. You must bring your laptop to participate.

COP302 | Automate patch management and compliance

In this workshop, learn how to automate patch management and compliance. See how you can quickly enable patching at scale across your AWS accounts and Regions within your AWS organization using AWS Systems Manager. Gain hands-on experience with how to use AWS Systems Manager to enable patching operations and maintain compliance. You must bring your laptop to participate.

COP303 | Hands-on experience with Amazon CloudWatch

Your enterprise’s agility, customer satisfaction, and business growth depend on setting up great observability. In order to help you build high-performing and reliable applications, AWS provides a variety of turnkey AWS native observability services and solutions. In this workshop, learn how to monitor AWS services with Amazon CloudWatch, get hands-on experience with the most common use cases, and learn about and implement the newest features available. You must bring your laptop to participate.

DAT401  |  Applied data modeling with Amazon DynamoDB

In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. You must bring your laptop to participate.

DAT302 | Dive deep into Amazon DynamoDB using design puzzles

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how you can look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.

DAT303 | Making your Amazon Aurora cluster more resilient

Amazon Aurora is a cloud-native relational database with unparalleled high performance and availability at global scale. Hundreds of thousands of organizations trust Aurora for their workloads today. In this chalk talk, learn about features such as Aurora Global Database and Amazon RDS Proxy, and discover best practices to achieve high availability for your Aurora clusters. The talk includes a whiteboarding session on high availability and disaster recovery solutions to help you maximize your application’s resilience.

DAT402 | Using LangChain to build gen AI apps with Amazon Aurora and pgvector

Do you want to build a generative AI application with Amazon Aurora but are unsure of how to get started? In this code talk, learn essential tools for creating your own generative AI applications, including LangChain and pgvector. See live coding firsthand and learn the code required to connect these tools together, including how to use Retrieval Augmented Generation (RAG) to enhance the answers of the generative AI application. Also learn how to use Amazon Aurora with pgvector to accelerate vector similarity search. Discover how to use fundamental building blocks to build your own generative AI applications with Aurora.

DAT403 | Build a web-scale application with purpose-built databases & analytics

In this workshop, learn to build modern web applications at scale using purpose-built databases. Discover how to apply development patterns using Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon OpenSearch Service to build a fully functional and scalable bookstore ecommerce application, and dive deep into best practices along the way. Basic familiarity with AWS concepts and services such as AWS Identity and Access Management (IAM), Amazon VPC, networking, and storage services is recommended. You must bring your laptop to participate.

DEV301  |  The art of transforming foundation models into domain experts

Standard foundation models have general knowledge on most topics, but little specific domain knowledge. Learn how to customize them to make them experts in your field. In this session, learn how to perform fine-tuning, use the Retrieval Augmented Generation technique, or use transactional agents through interactive demonstrations. Discover how to evaluate the pros and cons of each approach to choose the solution that best suits your needs.

DOP201  |  AWS infrastructure as code: A year in review

AWS provides services that enable the creation, deployment and maintenance of application infrastructure in a programmatic, descriptive, and declarative way. These services provide rigor, clarity, and reliability to application development. Join this session to learn about the new features and improvements for AWS infrastructure as code with AWS CloudFormation and AWS Cloud Development Kit (AWS CDK) and discover how they can benefit your team.

DOP202  |  Continuous integration and continuous delivery (CI/CD) for AWS

AWS provides one place where you can plan work, collaborate on code, and build, test, and deploy applications with continuous integration and continuous delivery (CI/CD) tools. In this session, learn about creating complete CI/CD pipelines using infrastructure as code on AWS.

DOP203  |  Governance and security with infrastructure as code

In this session, learn how to use AWS CloudFormation and the AWS CDK to deploy cloud applications in regulated environments while enforcing security controls. Find out how to catch issues early with cdk-nag, validate your pipelines with cfn-guard, and protect your accounts from unintended changes with CloudFormation Hooks.

DOP204  |  Amazon Q Developer: Your gen AI assistant for software development

In this session, learn how Amazon Q Developer is transforming the developer experience by speeding up a range of tasks that support you as you research how to get started, evaluate system design, build secure and scalable applications, upgrade existing applications, and optimize application performance. Learn firsthand how Amazon Q capabilities for building, troubleshooting, and transforming applications faster and more easily frees you up to focus on experimentation and innovation.

DOP301 | Streamline DevSecOps in a complete software development service

Security is not just for application code—the automated software supply chains that build modern software must also be protected from threat actors. In this chalk talk, discover how you can use Amazon CodeCatalyst to incorporate security tests into every aspect of the software development lifecycle while maintaining a great developer experience. Come learn how the flexible actions-based CI/CD workflows in CodeCatalyst can help streamline the process of adapting to security threats.

CMP318 | Choose the optimal compute environment for your AI/ML workloads

Ready to run your generative AI workloads on AWS? If you’re trying to decide between accelerators such as AWS Inferentia and AWS Trainium, GPUs from NVIDIA and AMD, processors such as AWS Graviton, or managed services such as Amazon Bedrock and Amazon SageMaker, this chalk talk has got you covered. Come explore the different options you have available on AWS, unpack their advantages and trade-offs, and get help choosing the option that is best for your workload and budget.

XNT401 | Easily port .NET Framework applications to Linux with Amazon Q

In this workshop, gain hands-on experience porting a .NET Framework application to cross-platform .NET. Use Amazon Q Code Transformation for .NET, a modernization tool powered by generative AI that significantly reduces the time to migrate applications from Windows Server to Linux. Learn how migrating to Linux helps you avoid additional licensing fees and gain performance and security benefits. You must bring your laptop to participate.

CPG202 | Neiman Marcus revolutionizes the luxury experience with generative AI

In today’s competitive landscape, delivering personalized experiences is crucial for engaging customers and driving conversions. Generative AI has emerged as a powerful tool that can enable businesses to create tailored content at scale. This session explores how Neiman Marcus Group partnered with the AWS Generative AI Innovation Center to build a solution that uses Amazon Personalize and Amazon Bedrock to generate personalized email content for sales associates. Gain insights into how this drove associate efficiency by weaving together customer profiles, product attributes, and promotion details to craft engaging and relevant outreach material, ultimately driving better customer experiences and business growth.

TNC205 | Generative AI for executives

This bootcamp equips business leaders with the knowledge to jump-start generative AI within their companies. Executives and business decision-makers can gain a solid understanding of generative AI’s capabilities and practical applications. They can also discover how AWS services and best practices can help them successfully implement generative AI in their organizations.

OPN403 | Spotting anomalies in real time with generative AI and open source

In this workshop, build a system to analyze log events from a data stream and detect anomalies using generative AI and open source technologies, including Apache Kafka, Apache Flink, and OpenSearch. Learn to ingest logs into Apache Kafka and consume them using Apache Flink for real-time anomaly detection using machine learning in Amazon SageMaker. Additionally, integrate the output with generative AI in Amazon Bedrock to automate incident response and reduce the mean time to resolve issues. This hands-on experience prepares you to build an adaptive defense strategy for your own evolving security needs. You must bring your laptop to participate.

ADM201 | Unified customer profiles and connected journeys with United Airlines

United Airlines uses AWS Entity Resolution and AWS Clean Rooms to unify customer data from multiple touchpoints to gain a comprehensive, 360-degree view of its customers. This helps United deliver personalized experiences, optimize inventory utilization, and drive business growth while maintaining strict data governance and security controls. Join this session to learn how United moved its on-premises workloads to AWS to create a holistic view of its customer data, unlocking the power of a highly distributed dataset to generate business insights using a modern data architecture to create a strong, connected media strategy.

AES303 | Degas uses generative AI on AWS to help smallholder farmers in Ghana

Degas Ltd., a Japanese agri-fintech startup, uses generative AI to help 65,000 smallholder farmers in Africa. In this chalk talk, learn how Degas developed a geospatial foundation model on Amazon SageMaker to tackle climate change and improve life on earth. Discover how Degas leveraged SageMaker to build their geospatial foundation model which, using only small fine-tuning datasets, can be customized to solve a variety of common earth observation problems using satellite imagery, such as flood and drought detection, wildfire prediction, land cover segmentation, building change detection, and deforestation detection.

ENU301 | Migrating an energy trading application to AWS

In this chalk talk, hear how an international energy company migrated its business-critical energy trading and risk management system, Openlink Endur, to AWS. This talk dives into the technical and strategic aspects of this migration, showcasing how the organization used AWS services to enhance performance, scalability, and resilience. Learn about the challenges faced, the innovative solutions implemented, and the tangible business benefits realized, including faster feature delivery, improved developer experience through enabling rapid provisioning of dedicated environments, and increased global availability. Come discover how this migration to AWS has positioned the company for long-term success in the dynamic energy market.

FSI302 | Guardrails for financial services LLMs with Amazon Bedrock & SageMaker

Financial institutions need to exercise caution when it comes to incorporating large language models (LLMs) in customer-facing products due to the risk of hallucinations. It’s also important to implement robust safeguards against the inadvertent sharing of sensitive data. In this chalk talk, learn strategies to refine datasets, maintain high-quality inputs, and customize LLM outputs to meet the precise requirements of the financial services industry. Walk through how you can use Amazon Bedrock and Amazon SageMaker to fine-tune LLMs, and gain practical insights that can help you unlock the power of generative AI while maintaining business-critical controls and compliance.

GAM301 | Build a scalable cross-platform multiplayer game backend on AWS

In this workshop, learn how to use the AWS Game Backend Framework to develop a custom cross-platform game backend for your multiplayer game. Explore cross-platform player identity, backend microservices for matchmaking, and integrations to popular game engines. Also learn how to use Amazon GameLift to host your game servers globally, close to players for a low-latency real-time experience. You must bring your laptop to participate.

MFG201 | Empowering the next-generation industrial operator with generative AI

Georgia-Pacific (GP) is one of the largest manufacturers of pulp and paper, dispensers, packaging, and wood and gypsum building products. Like many manufacturers, GP faces workforce attrition challenges as senior workers retire and apprentice operators need to upskill quickly. Hear how GP’s Amazon Bedrock–enabled industrial operator assistant provides a natural language interface for machine diagnostic troubleshooting based on unstructured data (SOP docs, machine manuals, etc.) and structured real-time machine data to retrieve and summarize relevant content in minutes. This reduces mean time to resolution by empowering apprentice workers to troubleshoot independently with real-time, contextualized machine data.

MAE202 | Sky: Enhancing sports experiences with automation and generative AI

Integrated with Sky TV, NOW TV, and the Sky Sports app, Sky Sports+ is a fully automated end-to-end live events platform that provides up to 100 concurrent live video streams. In this session, discover how Sky Sports+ uses AWS to deliver features for an enhanced immersive viewing experience, exclusive access to documentaries, and a dedicated linear channel. Explore how AWS powered automation, data mesh, acquisition platform, cloud production expansion, and generative AI are used to augment Sky’s platform capabilities across digital and linear channels.

RCG301 | Using generative AI for smart mocks with Retail Reference Framework

In this chalk talk, learn how to quickly build retail-specific applications using Retail Reference Framework (RRF), an open source development toolkit that provides standardized architectural patterns and components. Explore how RRF uses Amazon CodeCatalyst to run CI/CD workflows that transform Smithy API models into SDKs in various languages and publish them to AWS CodeArtifact. The framework then builds an Amazon Bedrock–backed implementation of the API models using the generated SDKs that is deployed to Amazon API Gateway, enabling immediate "smart mocked" service testing and development.

SEC302 | Better together: Protecting data through culture and technology

AWS uses a combination of culture and technologies to share ownership and build security into every layer of the stack, then externalizes lessons learned through the managed services AWS provides to you. This session examines the full range of data protection capabilities available with AWS and how best practices and culture can complement them to improve security outcomes. Dive deep into a defense in depth perspective, which details how organizations can protect their data and bolster their security culture by consistently building security into every layer.

SEC303 | Protecting data within your generative AI architectures

When training externally facing large language models (LLMs) on internal or sensitive data, you need to be sure that you don’t unintentionally or inappropriately disclose portions of the training data. In order to protect against sensitive data disclosure, the general recommendation is to not train these complex systems with any non-public customer data. However, this may not always be possible. This chalk talk addresses how to mitigate this risk. Explore data minimization principles such as sanitization, anonymization, synthetic data generation, aggregation, and differential privacy while also discussing the benefits and tradeoffs.

SEC401 | Inspect and secure your application with generative AI

Explore how to use generative AI to improve the security of your applications. Learn how AI-powered tools can help rapidly identify and then recommend remediations for security threats. Learn about how Amazon Inspector detects software and code vulnerabilities in your applications, and discover how to scan for issues and remediate them using generative AI in your IDE.

SEC301 | Threat detection and response using AWS security services

Join AWS security experts for an immersive threat detection and response workshop using native security services to detect threats across different workloads. Learn about common threat types, how to detect them, and how to prioritize a response. This workshop simulates several security events across different resources and behaviors. Get hands-on in a provided sandbox environment to review and respond to findings from the simulated events. You must bring your laptop to participate.

SEC304 | Mitigate zero-day events and ransomware risks with VPC egress controls

In this network security workshop, learn how to implement AWS best practices for egress controls to mitigate risks from software supply chain dependencies, zero-day events, cryptocurrency mining, and ransomware. Also, explore a new security use case enabled by TLS decryption of outbound network flows. You must bring your laptop to participate.

STG201 | Build a data foundation to fuel generative AI

Data has long been considered a strategic asset by organizations, but generative AI puts a renewed emphasis on the importance of a data strategy. Whether you are building your own model or customizing a foundation model, your data is a key differentiator for generative AI, so you need a data strategy that supports relevant, high-quality data. In this session, learn about the data tools that can fuel your generative AI strategy and the common data patterns required to transform your generative AI application from a generic tool to a program that truly knows your business and your customer.

STG204 | Accelerate & automate secure data transfers at scale with AWS DataSync

Accelerate your cloud journey by moving your data to AWS quickly and securely with AWS DataSync. In this session, discover best practices for how to move your data at scale and increase performance. Hear a success story from Resilience, an AWS customer that is transforming the way novel medicines are produced, and learn how they used DataSync to build a connected network for fast, reliable data transfer in their lab environments.

STG303 | How to optimize AWS storage for generative AI and ML workloads

Scaling deep learning programs into production often comes with its challenges, and you can’t have high-quality data modeling if your storage isn’t optimized for performance scalability. Getting this wrong can lead to unexpected cost and performance issues. In this interactive chalk talk, get answers to your questions related to selecting and optimizing storage for AI and ML workloads so you can build better, innovate faster, and deploy at scale.

STG306 | Advanced security patterns on Amazon S3

Amazon S3 security settings and access controls are suitable for virtually any workload. In this chalk talk, equip yourself with proven patterns for managing access at scale. Learn how to optimize policy usage, scale beyond AWS Identity and Access Management (IAM) policy limits, and secure your data lake perimeter.

STG310 | Build fast, scalable infrastructure for AI/ML with AWS storage

High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. Managing intensive GPUs and accelerators like AWS Trainium requires optimized storage solutions. Amazon S3 and Amazon FSx for Lustre offer scalability and compute acceleration for workloads, from time to first byte to multi-petabyte scales. In this workshop, learn how to use Amazon S3 and FSx for Lustre with Amazon SageMaker and monitor them using Amazon CloudWatch, and discover how to achieve the best performance for your workload. You must bring your laptop to participate.

ACT280 | AWS Unicorn Tank: A startup pitch competition

It’s not all sunshine and rainbows when it comes to finding a startup unicorn. But at the AWS Unicorn Tank Pitch Competition, we’re determined to beat the odds. Watch as startups battle for the $100,000 grand prize, pitching their cutting-edge generative AI ideas to a panel of legendary investors, AI pioneers, and industry titans. Finding this rare unicorn gem is not only up to the judges, but you too—cast your vote, and the audience favorite wins $25,000. Join us in discovering the next big thing in generative AI.

SUS103-R & SUS103-R1 | How climate tech startups build on AWS to address climate change

The world is racing to get to net-zero carbon emissions by 2050 to mitigate global warming. Speed is critical; generative AI and cutting-edge advanced cloud computing are important tools to accelerate the build and deployment of climate solutions. In this lightning talk, learn how AWS helps climate technology startups quickly and affordably build technology that is solving big problems related to climate change. It features AWS resources for climate technology startups and offers examples of AWS services that are critical for climate technology startups looking to contribute to climate mitigation efforts.

IOT205 | Beyond connectivity: Transforming businesses with intelligent IoT

This session explores how recent advancements in AI are evolving the internet of things (IoT) into an engine for real-world intelligence, autonomy, and actionable insights. Learn about the evolution and anatomy of next-generation intelligent things and how AWS customers are using them to transform their businesses—across healthcare, consumer products, automotive, manufacturing, and energy and utilities. Find out how to get started with IoT and AI/ML services on AWS and discover patterns to accelerate time-to-value when building and deploying intelligent IoT products and solutions.

DEV305 | Building an educational startup on AWS: A heroic journey

Gather 'round for the tale of two AWS heroes on their journey through the world of cloud. The goal: build and deploy an educational platform for AWS, on AWS. They will guide you over the hills & down the valleys of developing with MFA in Amazon Cognito, working with AWS Amplify, securing with AWS WAF, persisting users in Amazon DynamoDB, handling requests with Amazon API Gateway, and building with AWS Lambda and Powertools. Come see if our adventurers succeeded in their quest or end up at the last "Outpost."

AIM121-S | NVIDIA AI startups: The future of intelligent enterprises (sponsored by NVIDIA)

Join this insightful session, hosted by NVIDIA Inception, to explore how three innovative companies are using AI and NVIDIA NIM inference microservices on AWS to deploy and scale generative AI applications. This session delves into cutting-edge solutions that enhance efficiency, optimize processes, and drive digital transformation across industries. This presentation is brought to you by NVIDIA, an AWS Partner.

FWM301-R | Go from idea to AI-powered app in minutes with AWS Amplify

AWS Amplify recently launched a second-generation developer experience featuring full-stack TypeScript capabilities for building production-ready applications on AWS. Generation two is built on top of AWS Cloud Development Kit (AWS CDK), making it possible to add any of the more than 200 AWS services to your Amplify application, including Amazon Bedrock for generative AI use cases. Join this chalk talk to discuss strategies for extending the Amplify full-stack TypeScript capabilities to create the next generation of innovative application experiences using AWS CDK and Amazon Bedrock.

IDE103 | Pitching better: Workshop for founders to overcome bias in fundraising

Join the AWS Startups Team for a tactical fundraising workshop. Research has found that women founders get asked more prevention questions (“Is this actually a large market opportunity?”) while men get asked more promotion questions (“How big can this business get?”). This workshop will be relevant for all underrepresented founders and cover 1) how to identify unconsciously biased questions, 2) ways to answer these questions, and 3) how to clarify and pivot. Research has showed that founders who answer questions using these tips are able to raise $7.4M more than founders who do not.

Visionaries in the Stadium

Kick off AWS re:Invent 2024 at Visionaries in the Stadium on Monday, Dec. 2, from 7:00 PM – 10:00 PM at Allegiant Stadium. This exclusive event, which takes place on the field at Allegiant Stadium, is your opportunity to network with AWS customers from all industries and segments, as well as hear from visionary leaders and participate in can’t-miss activations on the field. Don’t miss it. Registration will be available in mid-October.