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AWS re:Invent 2024 - Industry

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AI & ML

AWS re:Invent 2024 - How Netflix benchmarks FMs and LLMs across hardware chipsets (NFX307)

This talk explores how Netflix benchmarks foundation models and large language models across different AWS hardware chipsets using the open-source FMBench tool. The presenters discuss the features and capabilities of FMBench, including its ability to evaluate model performance, latency, and cost-effectiveness across various AWS instances and inference engines, enabling data-driven decisions for deploying generative AI workloads.

AWS re:Invent 2024 - Bloomberg: Lessons learned from building and training LLMs on AWS (FSI320)

The video discusses Bloomberg's experience in building and training its own large language model, BloombergGPT, on AWS. It highlights the challenges they faced, the lessons they learned, and the guiding principles they developed for incorporating generative AI into their products.

AWS re:Invent 2024 - Practical application of generative AI chatbots in the public sector (WPS206)

This presentation covers the practical application of generative AI chatbots in the public sector, highlighting the challenges faced by government agencies and the solutions offered by AWS's responsible AI framework and services. The speakers showcase a case study from the US Department of State and demonstrate a chatbot application that improves customer experience by providing instant and accurate answers to complex queries.

AWS re:Invent 2024 - Grab innovates with generative AI and secure data collaboration (ADM203)

This video showcases how Grab, Southeast Asia's leading superapp, innovates with AWS generative AI and secure data collaboration to deliver personalized customer experiences. Grab leverages its rich first-party data, AWS services like Clean Rooms and Entity Resolution, and advanced machine learning techniques to create hyper-personalized content and services for its users, resulting in improved engagement and business outcomes.

AWS re:Invent 2024 - Allianz Germany: Accelerating legacy migration with generative AI (FSI323)

Allianz Germany is accelerating legacy migration with generative AI, leveraging contract and customer data as the ground truth to bypass the legacy system and directly migrate data to the new system. The project combines automated data extraction using LLMs with a human-in-the-loop approach, enabling high-quality data migration and ensuring the most up-to-date information is transferred to the new system.

AWS re:Invent 2024 - How Merck improves drug design with biological foundation models (HLS215)

This talk explores how Merck is leveraging state-of-the-art biological foundation models and computational approaches to accelerate drug discovery and design. The presenters discuss the use of protein language models, generative AI, and molecular dynamics simulations to improve various aspects of the drug development pipeline, including target assessment, antibody engineering, and biocatalyst optimization.

AWS re:Invent 2024 - Claude's role in streamlining drug development (HLS213)

This talk explores how Anthropic's Claude language model can streamline drug development in the healthcare and life sciences industry. The speaker highlights use cases where Claude has helped organizations like Novo Nordisk and Pfizer reduce clinical document creation time, facilitate drug discovery, and improve patient triage, showcasing the potential of generative AI to drive efficiencies in the pharmaceutical sector.

AWS re:Invent 2024 - New York Life: Data platform modernization to generative AI innovation (FSI324)

New York Life, a leading insurance company, shares its journey of transforming its data platform and leveraging generative AI to modernize its claims management process. The session highlights the architectural principles, best practices, and lessons learned in this transformation, showcasing how the company empowered its data and AI teams to drive innovation and deliver exceptional experiences for its agents and policyholders.

AWS re:Invent 2024 - Beyond productivity: Using generative AI to grow in financial services (FSI202)

The session explores how financial services institutions are leveraging generative AI to transform their operations, from improving sales productivity and personalization to enhancing investment research and market insights. The speakers share their experiences and lessons learned in building successful generative AI applications that drive tangible business value.

AWS re:Invent 2024 - Generative AI for public good: Empowering governments and the UN (WPS104)

The talk discusses how governments and the UN are leveraging generative AI to drive public good, such as improving citizen services, increasing court efficiency, and aiding humanitarian efforts. It highlights key initiatives, challenges, and opportunities in implementing trustworthy AI applications to advance the UN's Sustainable Development Goals.

Advertising

AWS re:Invent 2024 - Privacy-enhanced advertising with Xmars, DIRECTV, and Amazon Ads (ADM304)

This presentation discusses the growing need for secure data collaboration across industries, with a focus on how AWS Clean Rooms and Amazon Ads' solutions like Amazon Marketing Cloud and Amazon Publisher Cloud can enable advertisers and publishers to leverage their first-party data without compromising customer privacy. The speakers showcase real-world use cases and the benefits of these technologies, highlighting increased audience reach, efficiency, and measurement accuracy for advertising campaigns.

Analytics

AWS re:Invent 2024 - How Ford unlocked real-time insights using Apache Iceberg on AWS (AUT311)

This presentation discusses how Ford leveraged Apache Iceberg on AWS to build a scalable and efficient Event Store for their connected vehicle platform, overcoming challenges with data volume, processing, and querying. The speakers highlight the benefits of Iceberg, such as ACID compliance, schema evolution, and engine agnosticism, and how it enabled Ford to modernize their data lake and improve overall platform performance.

Architecture

AWS re:Invent 2024 - Drive innovation by implementing an industrial data strategy (MFG316)

This presentation outlines an industrial data strategy framework called the Industrial Data Fabric (IDF) that helps manufacturers leverage their diverse data sources to drive innovation and improve operational efficiency. The framework covers best practices and architectural patterns for ingesting, storing, contextualizing, and acting on industrial data across the manufacturing value chain.

AWS re:Invent 2024 - Running a complex design environment on AWS (MFG205)

This session explores how Samsung Electronics leveraged AWS services to build a secure and high-performance design platform for their complex FAB construction projects. The presentation highlights the key challenges, the technical approach, and the benefits realized by integrating cloud-based solutions, such as improved user experience, enhanced security, and increased operational efficiency.

Compute

AWS re:Invent 2024 - SK Telecom's TelClaude: Redefining telco CX with generative AI on AWS (TLC203)

SK Telecom collaborated with Anthropic and AWS to fine-tune the Claude language model for their contact center use cases, resulting in improved customer experience, response uniformity, and agent satisfaction. The partnership leveraged AWS infrastructure and Anthropic's modeling expertise to create a specialized telco language model that outperformed base models by 38% on key tasks.

AWS re:Invent 2024 - Effortless game launches: How League of Legends runs at scale on AWS (GAM307)

This presentation discusses how Riot Games, the developer of League of Legends, transitioned their game infrastructure from on-premises to AWS, leveraging cloud-based auto-scaling to significantly reduce costs. The talk also highlights the challenges faced during the migration and the benefits the new platform provides, such as enabling experimental game modes and improving the player experience.

AWS re:Invent 2024 - Driving operational excellence: F1’s AI-fueled race-day transformation (SPT206)

This talk explores how Formula 1 and AWS have partnered to drive continuous innovation and transformation in the sport. It highlights the key mechanisms they have implemented, such as embracing failure, empowering teams, and fostering a culture of experimentation, to accelerate the pace of innovation and deliver real business impact.

AWS re:Invent 2024 - Leveraging technology and leadership to accelerate energy innovation (ENU201)

This session explores how EDF Renewables is leveraging technology and conscious leadership to drive energy innovation and advance diversity, equity, and inclusion in the industry. The speakers highlight EDFR's strategies, including cultural assessments, inclusive technology practices, and hybrid work models, as examples of how organizations can create a more equitable and sustainable energy future.

AWS re:Invent 2024 - Optimizing production schedules for flexible manufacturing (MFG101)

This presentation explores the challenges of optimizing production schedules for flexible manufacturing in the face of increasing complexities, manual processes, and evolving business priorities. The speaker discusses how AWS can enable a proactive solution by leveraging IoT services, optimization engines, and real-time data to provide prescriptive recommendations and transform manufacturing operations into a truly smart factory.

AWS re:Invent 2024 - Launching a new league: The blueprint for tech-driven sports (SPT210)

The video discusses how data and technology are transforming the sports industry, with a focus on two examples: the launch of a new data-driven golf format called TGL, and the PGA Championship's use of personalized fan data to enhance the fan experience. The presentation highlights the growing importance of data rights and the need for sports organizations to own and effectively utilize their data to drive innovation and create new revenue streams.

AWS re:Invent 2024 - Accelerate healthcare innovation: TriZetto's data-powered approach (HLS208)

This session explores how the collaboration between AWS and TriZetto, a Cognizant company, is transforming healthcare innovation through data-powered solutions. By leveraging AWS's cloud technology and TriZetto's deep industry expertise, the partnership aims to address challenges in claims management, enrollment processes, and data integration, ultimately driving improved outcomes for healthcare stakeholders.

AWS re:Invent 2024 -Volkswagen’s platform strategy enables production performance & quality (MFG207)

Volkswagen's digital transformation journey with AWS showcases how a traditional automotive manufacturer is leveraging cloud technologies to enhance production performance, quality, and supply chain resilience. The presentation highlights Volkswagen's multi-layered platform approach, adoption of industrial computer vision use cases, and future plans to leverage generative AI for optimizing legacy systems.

AWS re:Invent 2024 - The evolution story of game architecture: PUBG: Battlegrounds, Krafton (GAM311)

This talk explores the modernization journey of the popular game PUBG: Battlegrounds, developed by KRAFTON. The presentation covers KRAFTON's migration to a containerized architecture using Amazon EKS, the lessons learned, and the cost optimization strategies adopted, including the use of AWS Graviton instances.

AWS re:Invent 2024 - S&P Global: Scaling data insights with fine-tuned foundational models (FSI313)

S&P Global leveraged fine-tuned foundational models on Amazon SageMaker to build a scalable and cost-efficient data extraction pipeline, enabling them to provide real-time credit assessments for millions of private companies without access to financial reports. The presentation highlights their approach to overcoming challenges in web scraping, natural language processing, and model deployment to deliver a transformative solution for the financial services industry.

AWS re:Invent 2024 - Closing the machine-to-cloud gap to jump-start digital transformation (MFG206)

This talk discusses the challenges and strategies for bridging the machine-to-cloud gap to enable digital transformation in manufacturing. The speakers highlight the importance of a modern data strategy, a comprehensive framework, and a collaborative approach with partners to unlock the full potential of data-driven insights and optimize manufacturing processes.

AWS re:Invent 2024 - All-in on AWS: Transforming production operations with AWS (ENU307)

This session discusses the migration and modernization journey of bpx energy, a US onshore oil and gas division of BP, as they transitioned from a multi-cloud to a single cloud strategy on AWS. The presentation also covers the company's vision and approach to leveraging generative AI to transform their production operations, with a focus on data strategy, getting started quickly, and model selection.

AWS re:Invent 2024 - NHL Unlocked: Live cloud production, sports data, and alternate feeds (MAE201)

The NHL has partnered with AWS to transform their live production and data analytics capabilities, enabling them to deliver innovative and engaging hockey content to fans. By leveraging cloud-based infrastructure and machine learning, the NHL has been able to unlock new storytelling opportunities, enhance fan engagement, and reduce their environmental impact.

AWS re:Invent 2024 - Transforming AV/ADAS development at Continental with generative AI (AUT307)

The session discusses the challenges in autonomous mobility development, including the massive amount of data, the need to support diverse developer tasks, and the cost of scaling development platforms. The presenters showcase how Continental and AWS collaborated to build a cloud-based platform that addresses these challenges, including a generative AI-powered scene search tool to help developers efficiently curate and leverage driving data.

AWS re:Invent 2024 - How generative AI can transform service delivery (WPS321)

This talk explores how generative AI can transform public sector service delivery, showcasing real-world examples of using AWS solutions to enhance citizen experiences, improve operational efficiency, and accelerate cloud adoption. The speakers highlight the AWS Solutions Library as a resource to help agencies leverage pre-built, configurable AI-powered applications to address a variety of challenges across different domains, such as call center modernization, student admissions, and wildfire prediction.

AWS re:Invent 2024 - JPMorganChase: Real-time fraud screening at massive scale (FSI315)

JPMorganChase leveraged AWS services to build a scalable, resilient, and cost-optimized fraud detection platform capable of processing tens of millions of transactions per day. The platform utilizes microservices, machine learning, and advanced infrastructure configurations to provide real-time fraud screening at massive scale, while ensuring 24/7 availability and fast feature deployment.

AWS re:Invent 2024 - Empowering the next-generation industrial operator with generative AI (MFG201)

Georgia-Pacific, a subsidiary of Koch Industries, has partnered with AWS to leverage generative AI and machine learning to address knowledge loss and talent attrition challenges in their manufacturing operations. By creating a comprehensive operator assistant that provides real-time alerts, troubleshooting guidance, and automatically generated documentation, they have been able to empower their workforce and improve productivity, quality, and safety across their 140 facilities.

AWS re:Invent 2024 - Getting better image analysis with generative AI (AES307)

This session explores the importance of prompt engineering for image analysis using generative AI models like AWS Claude 3.5. The presenters demonstrate how refining prompts with context, instructions, and constraints can significantly improve the quality and relevance of the analysis, as illustrated through a series of examples using satellite imagery.

AWS re:Invent 2024 - Accelerate control system upgrades through AWS and evergreen testing (ENU306)

The session discusses how AWS and GE Vernova are helping utility companies like PPL accelerate their grid control system upgrades through a hybrid cloud approach and an 'Evergreen' testing process. This enables utilities to rapidly adopt new software features and functionality to keep pace with the rapidly changing energy landscape, while ensuring reliable and secure grid operations.

AWS re:Invent 2024 - Powering the future: NextEra Energy’s journey with generative AI (ENU309)

The presentation discusses NextEra Energy's journey with generative AI, highlighting their use cases in maintenance, service planning, and the broader energy industry transformation. The speakers emphasize the importance of data, reusable components, and a culture of innovation in driving successful AI adoption.

AWS re:Invent 2024 - Armed Forces unite: Connecting data across domains (WPS212)

This session explored how the U.S. Armed Forces are leveraging data and cloud technologies to improve decision-making and enhance mission capabilities across domains. The panelists discussed the strategic importance of data, the challenges of data governance and security, and the potential of emerging technologies like artificial intelligence and machine learning to drive innovation and decision advantage.

AWS re:Invent 2024 - How Star Wars: Hunters got to the next level with Amazon GameLift (GAM308)

The presentation discusses how the Star Wars: Hunters team leveraged Amazon GameLift to address the challenges of launching a successful multiplayer game, including managing server infrastructure, optimizing costs, and implementing flexible matchmaking. The speakers share insights on their development process, the key features and resources they utilized within GameLift, and recommendations for others considering the service.

AWS re:Invent 2024 - Achieving dynamic power grid operations with AWS (ENU101)

This presentation discusses the challenges faced by utilities in transitioning to a dynamic power grid that can accommodate the increasing demand for electricity and the growth of renewable energy sources. The speaker highlights how AWS is collaborating with utilities and research labs to develop technologies and solutions that enable real-time data analysis, grid simulation, and optimization to support the transition to a carbon-free energy future.

AWS re:Invent 2024 - Scaling GPU infrastructure and using LLMs for Roblox's metaverse (GAM312)

This talk discusses Roblox's journey in scaling their GPU infrastructure and using large language models (LLMs) to power their metaverse. The speaker covers the challenges they faced with Kubernetes and GPU scheduling, and the solutions they implemented, including moving from GPU as 'pets' to 'cattle', and leveraging tools like YuniKorn and custom policies to improve efficiency and cost-effectiveness.

AWS re:Invent 2024 - How ICEYE uses satellite data & generative AI to speed flood response (AES305)

ICEYE, a satellite technology company, leverages AWS services to process vast amounts of satellite data and deliver real-time insights on natural disasters, enabling faster response and mitigation. The session explores how ICEYE's cloud-based architecture, combined with generative AI models from AWS, automates the data processing and analysis workflows, significantly reducing the time to provide actionable intelligence to governments and emergency responders.

AWS re:Invent 2024 - O2 Telefónica Germany: 5G Core on AWS (TLC206)

The presentation discusses the journey of Telefonica Germany's implementation of a 5G core network on AWS, highlighting the importance of cultural, organizational, and operational transformations in cloud-native network deployments. The key takeaways emphasize the need for agility, autonomy, and automation in modern telco networks that can 'breathe' and scale on-demand to meet evolving customer requirements.

AWS re:Invent 2024 - Replatforming for reinvention: Modernizing mainframes at Goldman Sachs (FSI312)

This presentation covers Goldman Sachs' journey to modernize their mainframe-based investment book of record system by replatforming it to the AWS cloud. The key focus is on the architectural design patterns, development practices, and lessons learned that enabled them to expedite the migration, improve scalability, and maintain business continuity.

AWS re:Invent 2024 - Geisinger's epic journey: Scaling EHR operations on AWS (HLS207)

The video discusses Geisinger Health's journey of migrating their Epic electronic health record system to AWS, highlighting the benefits of improved reliability, speed, security, and cost optimization. The presentation covers Geisinger's approach to ensuring seamless support during the migration, enhancing security and resiliency, and implementing FinOps practices to optimize costs while improving application performance.

AWS re:Invent 2024 - Efficient incremental processing with Apache Iceberg at Netflix (NFX303)

The presentation discusses how Netflix efficiently processes late-arriving data using Apache Iceberg and Maestro, their workflow orchestration platform. The solution enables new data processing patterns, improves data accuracy, freshness, and cost-efficiency, while providing a user-friendly experience with minimal code changes.

AWS re:Invent 2024 - Build transformative, AI-powered telco solutions with AWS (TLC204)

This talk covers how AWS is helping telecom companies transform their networks and leverage AI/ML to improve customer experience, operational efficiency, and explore new revenue streams. The key focus areas include modernizing networks, adopting cloud-native architectures, and using generative AI and other AI/ML capabilities to drive innovation across the telecom industry.

AWS re:Invent 2024 -Predictive maintenance and optimization of electrical submersible pumps (ENU310)

The presentation discusses the application of predictive maintenance and optimization techniques using AWS and Baker Hughes' Leucipa model to improve the run life and productivity of electrical submersible pumps (ESPs) in ExxonMobil's unconventional operations in the Permian Basin. The presenters highlight the challenges faced by production engineers, the benefits of the collaborative solution, and the broader vision of a system-driven, recommendation-driven approach to optimizing production operations.

AWS re:Invent 2024 - Toyota drives innovation & enhances operational efficiency with gen AI (AUT201)

This presentation explores the diverse applications of generative AI in the automotive industry, highlighting Toyota's innovative use cases such as knowledge retention, GearPal, and Battery Brain. The speakers showcase how AWS's suite of services, including Amazon Bedrock and Amazon Q, enable Toyota to drive operational efficiency and enhance the customer experience across various aspects of the mobility ecosystem.

Contact Center

AWS re:Invent 2024 - NatWest: Personalizing customer experience with Amazon Connect & AI/ML (FSI316)

NatWest, a major UK bank, has successfully migrated its contact centers to Amazon Connect, leveraging the platform's rich data and AI capabilities to personalize customer experiences and optimize operations. The presentation highlights NatWest's journey, including the use of sentiment analysis, hangup analysis, and Amazon Lex chaining to enhance customer and agent interactions.

Databases

AWS re:Invent 2024 - Klarna: Accelerating credit decisioning with real-time data processing (FSI319)

The presentation showcases how Klarna, a FinTech company, accelerated its credit decisioning process by implementing a real-time data processing system that leverages AWS services. The key highlights include addressing challenges around data sources, cost-efficiency, feature engineering, and data model design to enable faster and more accurate credit assessments.

Developer Experience

AWS re:Invent 2024 - AWS unplugged: Creating music remotely with UMG (MAE205)

AWS showcases a collaborative music creation platform that enables remote artists to work together in real-time, overcoming the challenges of distance and latency. The solution, powered by AWS and partners like Open Sesame, provides high-quality audio, low latency, and seamless file management, allowing musicians to capture their creative spark and produce hit songs despite being physically apart.

AWS re:Invent 2024 - Creating powerful member experiences: Cigna’s AWS HealthLake journey (HLS220)

Cigna's journey with AWS HealthLake showcases how a leading healthcare organization can leverage a managed FHIR-based data service to address complex data challenges, enhance member experiences, and drive data-driven opportunities. The presentation highlights the key capabilities of HealthLake, including its scalability, performance, and compliance features, as well as Cigna's successful implementation and the road ahead for further enhancing the platform.

AWS re:Invent 2024 - Building an AI-powered shopping assistant (RCG204)

This talk presents an AI-powered shopping assistant that addresses common challenges in online retail, such as product discovery, information overload, and generic experiences. The solution leverages AWS services like Amazon Bedrock, OpenSearch, and DynamoDB to create a personalized and interactive shopping experience for customers.

AWS re:Invent 2024 - Froedtert Health transforms patient engagement with generative AI (HLS214)

This video showcases how Froedtert Health, a leading healthcare system in Wisconsin, has transformed patient engagement using generative AI and cloud technologies. The presentation highlights Froedtert's journey from an on-premises infrastructure to a cloud-native, serverless architecture that enables rapid experimentation, personalized digital experiences, and the launch of a digital-first primary care clinic powered by generative AI.

AWS re:Invent 2024 - Breaking barriers: Harnessing generative AI in telecom (TLC207)

The video discusses AWS's Breaking Barriers program, which aims to harness generative AI for digital inclusion and empower telecom operators to transform their businesses. It showcases the winning hackathon project, LearnAI, a personalized learning application that dynamically adapts content and games based on user preferences, and outlines the technical foundations for building such applications using AWS services like Generative AI Gateway and Amazon DataZone.

AWS re:Invent 2024 - Honda’s EV charging experience with Amazon Bedrock and AWS IoT Core (AUT202)

Honda and AWS collaborate to enhance the electric vehicle (EV) charging experience by leveraging AWS IoT Core and Amazon Bedrock. The solution provides personalized recommendations for charging stations based on user preferences, driving patterns, and battery status, creating a more intelligent and user-friendly EV ecosystem.

AWS re:Invent 2024 - How Arccos Golf is using AWS and generative AI to transform the game (SPT211)

This presentation discusses how Arccos Golf is using AWS and generative AI to transform the game of golf. The speaker highlights the challenges of making complex golf analytics accessible to users and how Arccos is leveraging technologies like Amazon Bedrock, prompt engineering, and LLM-based solutions to address these challenges and drive meaningful impact for their customers.

AWS re:Invent 2024 - SK Telecom's TelClaude: Redefining telco CX with generative AI on AWS (TLC203)

SK Telecom collaborated with Anthropic and AWS to fine-tune the Anthropic Claude language model for their contact center use cases, resulting in significant improvements in customer experience, agent satisfaction, and operational efficiency. The presentation highlights the importance of domain-specific fine-tuning, the collaborative process, and the complex nature of evaluating the performance of large language models in real-world applications.

AWS re:Invent 2024 - Generative AI in advertising and marketing with Blueshift and VidMob (ADM202)

This talk explores how AWS customers Blueshift and VidMob are leveraging generative AI to drive personalization and efficiency in advertising and marketing. The speakers discuss using AWS services like Bedrock and SageMaker to build innovative applications that combine customer data with generative AI models to create engaging, customized content and improve campaign performance.

AWS re:Invent 2024 - AI-managed telecom ecosystem: Closer than ever (TLC205)

The session explores how AWS is enabling the telecom industry to leverage generative AI to transform their operations, from infrastructure and data management to developing and deploying innovative solutions. Showcasing the Amdocs ConnectX platform, the session highlights how AWS services and partner ecosystem are empowering telecom providers to rapidly create, customize, and scale their offerings, driving increased agility and customer-centricity.

AWS re:Invent 2024 - The journey and challenges of operationalizing generative AI at FINRA (WPS320)

FINRA, the Financial Industry Regulatory Authority, shares its journey in operationalizing generative AI across its enterprise, highlighting the critical organizational and process changes required to successfully deploy disruptive technologies while mitigating risks and fostering a culture of innovation. The session covers FINRA's guiding principles, challenges faced, and the implementation of solutions like Amazon Bedrock and Amazon Q Developer, showcasing the transformative impact on software development productivity and quality.

AWS re:Invent 2024 - Sky: Enhancing sports experiences with automation and generative AI (MAE202)

The video showcases how AWS and Sky partnered to transform live sports production by leveraging cloud-based technologies, data-driven automation, and generative AI. The new event-based architecture enables Sky to scale their sports coverage, reduce carbon footprint, and enhance the viewing experience for their audiences.

AWS re:Invent 2024 - How Rivian accelerated ADAS development on AWS (AUT318)

The video discusses how Rivian accelerated its ADAS development on AWS by building the Polaris platform. It covers the architecture and key learnings around data ingestion, storage, compute, and cost optimization that enabled Rivian to scale its autonomy development workflows.

AWS re:Invent 2024 - Streamline ad monetization with Prebid Server Deployment on AWS (ADM302)

AWS re:Invent 2024 session 'Streamline ad monetization with Prebid Server Deployment on AWS (ADM302)' introduces a scalable, cost-effective, and customizable solution for deploying Prebid Server on AWS, enabling publishers to own their ad monetization data and decisioning logic. The session covers the key features, architecture, and future roadmap of this Prebid Server deployment solution, providing a comprehensive overview for publishers interested in enhancing their ad monetization capabilities.

AWS re:Invent 2024 - How the PGA TOUR is transforming live player commentary in golf (SPT209)

The PGA TOUR, NLP Logix, and AWS have collaborated to transform live player commentary in golf by leveraging AI and data to provide a more engaging and immersive fan experience. The presentation discusses the challenges, solutions, and lessons learned in operationalizing a real-time, AI-driven commentary system that can scale across multiple golf tournaments while maintaining accuracy and brand alignment.

AWS re:Invent 2024 - Boost fundraising with hyper-personalization powered by Amazon Bedrock (WPS201)

This session explores how the University of California, Los Angeles Anderson School of Management used AWS and Anthropic's Claude Sonnet LLM to revolutionize their alumni engagement strategy, leading to a significant increase in donation conversion, size, and overall fundraising. The presenters discuss the technical architecture, implementation approach, and lessons learned from this successful project, highlighting the potential of generative AI to transform advancement and organizational success in higher education.

AWS re:Invent 2024 - How Vanguard rebuilt its mission-critical trading application on AWS (FSI322)

Vanguard, a global asset management firm, embarked on a transformative journey to modernize its mission-critical trading platform by leveraging AWS services and adopting a cloud-first approach. The modernization effort aimed to improve scalability, resiliency, agility, customer satisfaction, and reduce total cost of ownership, ultimately enabling Vanguard to better serve its growing client base and provide the best chance for investment success.

AWS re:Invent 2024 - Learnings from BMW's global software development platform on AWS (AUT319)

This presentation discusses BMW's journey in migrating their global software development platform, CodeCraft, to AWS. It highlights the challenges faced, the architectural decisions made, and the cost optimization strategies employed, including the adoption of Karpenter and EC2 Spot Instances, leading to significant cost savings and improved developer productivity.

AWS re:Invent 2024 - Improve clinical trial coverage analysis with generative AI (HLS212)

This presentation showcases how Huron, a global consulting company, leveraged generative AI to transform their clinical trial coverage analysis process. The solution utilized Amazon Bedrock for knowledge ingestion and Smartsheets for a user-friendly interface, addressing challenges such as interpreting complex schedules of activities and automating decision-making.

AWS re:Invent 2024 - How Nykaa automates product descriptions using generative AI (RCG206)

The presentation discusses how Nykaa, an Indian e-commerce company, used generative AI and AWS services to automate product description generation and improve product attribute extraction from images. The key highlights include Nykaa's collaboration with AWS and Amazon Retail teams, the use of Amazon SageMaker and Bedrock to build a scalable and cost-effective solution, and the achievement of over 90% accuracy in product attribute identification.

AWS re:Invent 2024 - Using machine learning to enhance the online car-shopping experience (AUT205)

This talk discusses how CarGurus, an online automotive platform, has leveraged machine learning and data-driven approaches to enhance the car shopping experience for both consumers and dealerships. The speakers highlight CarGurus' journey in building a scalable and reliable machine learning platform, emphasizing the importance of establishing best practices, standardization, and automation to drive continuous innovation and value delivery.

AWS re:Invent 2024 - bp's energy trading digital transformation on AWS (ENU308)

This session discusses bp's digital transformation journey on AWS, focusing on their migration of critical trading applications, such as their ETRM system and market risk engine, as well as the development of innovative cloud-native solutions for position management and pricing optimization. The presenters highlight the key benefits bp has realized, including improved performance, cost savings, and the ability to rapidly develop and deploy new capabilities to support their energy trading business.

AWS re:Invent 2024 - Unified customer profiles and connected journeys with United Airlines (ADM201)

This session discusses how United Airlines is using AWS services, particularly Entity Resolution and Customer Profiles, to create a unified customer view and deliver personalized experiences across their digital channels. The speakers highlight the challenges of managing fragmented customer data, the benefits of a consolidated identity, and how United is leveraging these AWS services to improve customer satisfaction and operational efficiency.

AWS re:Invent 2024 - How US Foods successfully built and scaled a generative AI sales tool (RCG203)

US Foods, a major food supplier, successfully built and scaled a generative AI sales tool that has saved their salespeople over 12,000 hours of time. The tool, which leverages AWS Bedrock and Pinecone, has helped US Foods' salespeople onboard new customers more efficiently and provide better service to their independent restaurant clients.

Disaster Response

AWS re:Invent 2024 - Braving the storm: TJRS’s 3-week cloud migration amid disaster (WPS205)

The video presents the compelling story of how the Court of Justice in Porto Alegre, Brazil, successfully migrated their critical eproc system to the AWS cloud in just 21 days, amid a devastating flood that crippled their on-premises data centers. The presenters share valuable lessons on leadership, resilience, and the importance of having the right partners and solutions to overcome seemingly insurmountable challenges.

HPC

AWS re:Invent 2024 - An open collaboration for HPC acceleration (ENU305)

This session explores a collaboration between AWS, Occidental, NVIDIA, and S-Cube to modernize high-performance computing (HPC) for the energy industry. The collaboration aims to create a cloud-based, serverless platform that allows energy companies to easily build and deploy customized HPC workflows, leveraging the latest technologies and best-of-breed algorithms from various partners.

Healthcare & Life Sciences

AWS re:Invent 2024 - Scale clinical diagnostic operations: Natera's genomic innovation (HLS206)

Natera, a global leader in genomic diagnostics, leverages AWS HealthOmics to scale its clinical operations and accelerate innovation. By utilizing fully managed data stores, workflows, and analytics, Natera is able to bring new tests to market quickly, combine genomic and clinical data, and provide personalized cancer care for patients.

Media & Entertainment

AWS re:Invent 2024 - Never a slow news day: Transforming 24/7 news operations (MAE204)

This session discusses the transformation of 24/7 news operations at CBS News and Stations, and CNN, highlighting their journey in leveraging AWS services and expertise to address challenges like content collaboration, archive enrichment, and combating misinformation. The speakers share insights on their technical and organizational strategies, emphasizing the importance of leadership, evangelism, and an agile, iterative approach to drive successful transformations.

Networking

AWS re:Invent 2024 - Generative AI–powered graph for network digital twin (TLC202)

This talk explores how AWS and Orange are collaborating to build a generative AI-powered graph for a network digital twin, enabling faster root cause analysis and more efficient network operations. The solution leverages graph modeling, graph machine learning, and graph analytics to overcome the limitations of traditional approaches and deliver insights that can help Orange reach its goal of achieving level 4 autonomous networks by 2025.

AWS re:Invent 2024 - Netflix’s efficient network configuration for millions of containers (NFX306)

This talk discusses how Netflix efficiently configures container networking for millions of containers running on their internal platform Titus. The presentation covers the challenges of container networking, the requirements and design decisions made by Netflix, as well as the implementation details and performance metrics of their container networking solution.

AWS re:Invent 2024 - Optimizing network efficiency & strengthening multicloud connectivity (MAE308)

The presentation discusses how The New York Times optimized its network efficiency and strengthened multicloud connectivity by building an internal developer platform, implementing a hub-and-spoke model, and leveraging AWS Direct Connect to reduce costs and improve performance. The key takeaways include a 60% reduction in data transfer costs, 20-40% improvement in HTTP latency, and 50% reduction in security costs.

Public Sector

AWS re:Invent 2024 - Driving transformation for California’s workforce (WPS322)

The California Employment Development Department (EDD) is undergoing a multi-year modernization effort called EDD Next to transform the customer experience, empower job seekers and employers, and ensure security. The modernization project leverages cloud-based solutions from Amazon Web Services, including Amazon Connect for contact center operations and Salesforce for claims management, to improve service delivery and scalability.

Scaling

AWS re:Invent 2024 - How Netflix handles sudden load spikes in the cloud (NFX301)

This presentation covers how Netflix handles sudden load spikes in the cloud, including techniques like predictive automated pre-scaling, fast reactive autoscaling, and prioritized load shedding to maintain service availability during unexpected traffic surges. The speakers discuss Netflix's active-active cloud architecture, testing strategies, and partnership with AWS to implement these solutions at scale.

AWS re:Invent 2024 - Netflix's massive multi-account journey: Year two (NFX402)

This talk describes Netflix's multi-account journey and the technical capabilities they developed to decouple IAM roles from AWS accounts, enabling them to migrate 405 applications and over 1,100 IAM roles while reducing security risk and improving operational efficiency. The speakers share their learnings, including the importance of organizational buy-in, minimizing external dependencies, and the value of a robust migration orchestration tool like their internally-developed 'Cloud Application Migration Platform'.

AWS re:Invent 2024 - Scaling technology for millions of cricket fans on AWS (MAE309)

The video discusses how Dream11, a leading fantasy sports platform in India, has leveraged AWS to handle the massive scale and concurrency associated with the popularity of cricket in the country. The presentation covers key architectural challenges and solutions, including scaling, cost optimization, security, real-time leaderboard updates, and personalization at scale.

AWS re:Invent 2024 - Democratizing access to higher education for 1.2 million students (WPS319)

The presentation discusses how AWS helped the Brazilian Ministry of Education (MEC) migrate the Unified Selection System (SISU) to the AWS Cloud, enabling the democratization of access to higher education for over 1.2 million students in Brazil. The team highlights the key objectives, architecture, security measures, and performance testing undertaken to ensure a seamless and secure experience for the students during the critical SISU event.

AWS re:Invent 2024 - Scaling generative AI models for millions of users in Roblox (GAM310)

This talk discusses how Roblox is scaling generative AI models to serve millions of users, including the challenges they faced in managing different AI inference use cases, handling capacity constraints, and evaluating model performance and quality. Key lessons learned include the benefits of using open-source models, the importance of managing complexity through tools like AWS Deep Learning Containers, and the need to build custom evaluation datasets to assess model performance in production.

AWS re:Invent 2024 - Fidelity Investments: Building for mission-critical resilience (FSI318)

Fidelity Investments has successfully implemented chaos engineering at scale to build resilience for its mission-critical applications, leveraging AWS Fault Injection Service and other tools to proactively identify and mitigate failure modes. The presentation highlights Fidelity's journey, the key learnings, and the significant improvements in mean time to resolution (MTTR) achieved through this approach.

AWS re:Invent 2024 - Scaling secure large language models with Robinhood (FSI317)

This presentation discusses Robinhood's journey in scaling secure large language models using AWS Bedrock and their custom-built LLM gateway. It highlights the challenges they faced, the design decisions they made, and their future goals to further enhance their AI and ML platform.

AWS re:Invent 2024 - How Stripe achieves five and a half 9s of availability (FSI321)

Stripe's journey to achieve five and a half nines of availability is driven by a deep understanding that reliability is not just a metric, but a mindset. The session explores Stripe's technical strategies, such as cell-based architectures, anomaly detection, and chaos testing, as well as the cultural practices that enable their continuous pursuit of high reliability and availability.

AWS re:Invent 2024 - How Supercell’s newest game launched with tens of millions of players (GAM309)

This presentation discusses how Supercell, a mobile game developer, successfully launched their newest game 'Squad Busters' with tens of millions of players using AWS services and support. The talk covers the technical architecture, load testing, and use of AWS Countdown to eliminate unknowns and ensure a smooth launch.

AWS re:Invent 2024 - Scaling and evolving media storage at Netflix with Amazon S3 (NFX302)

The video discusses the evolution and scaling of media storage at Netflix using Amazon S3, focusing on the development of the Content Drive platform and the implementation of a data lifecycle management solution to optimize storage costs and enable efficient management of media assets across hybrid environments.

AWS re:Invent 2024 - BBVA: Building a multi-region, multi-country data platform at scale (FSI310)

BBVA, a global financial institution, has successfully built a multi-region, multi-country data platform on AWS, leveraging modern data architecture and services to enable secure, scalable, and cost-effective data management. The presentation highlights BBVA's journey, including the challenges of migrating from on-premises to the cloud, the implementation of a unified console for end-user data access, and the adoption of FinOps practices to ensure cost control and visibility.

AWS re:Invent 2024 - How Gousto reduces food waste and increases workforce productivity (MFG202)

Gousto, a UK-based meal kit company, has successfully leveraged AWS services and partners to build a data-driven operation, reducing food waste and increasing workforce productivity. By implementing a unified namespace, predictive maintenance, and a digital twin simulation, Gousto has optimized its manufacturing processes and made data-driven decisions to improve efficiency and customer experience.

AWS re:Invent 2024 - Kellanova and WK Kellogg’s cloud-powered transformation with AWS (RCG201)

The video showcases the cloud-powered transformation of Kellanova and WK Kellogg, two companies that emerged from the legacy Kellogg's brand. It highlights their journey of migrating to the cloud, overcoming technical debt, and leveraging AWS services to enable digital transformation, enhance analytics, and drive innovation.

Security

AWS re:Invent 2024 - Security strategies in the ever-evolving media industry (SPT208)

This panel discussion explores the evolving cybersecurity landscape in the media and entertainment industry, with a focus on emerging threats like deep fakes, generative AI, and content integrity. The panelists, representing Amazon, DraftKings, and the NHL, share their strategies for addressing these challenges, emphasizing the importance of cross-industry collaboration, innovative security measures, and maintaining customer trust through seamless experiences.

AWS re:Invent 2024 - Accelerate business and mission outcomes with AWS Government Regions (WPS315)

The video discusses AWS's focus on operational excellence and security to provide trusted cloud services to government and public sector customers. It highlights AWS's investments in sustainability, accelerated computing, and quantum computing, as well as the importance of partnerships and a gradual approach to adopting generative AI technologies.

AWS re:Invent 2024 - ULA accelerates innovation by lowering cloud compliance risk at scale (AES309)

ULA, a leading aerospace company, partnered with AWS Professional Services to develop a functional privilege model that accelerates innovation by lowering cloud compliance risk at scale. The presentation showcases how ULA leveraged AWS services and custom tooling to streamline user provisioning, implement least-privilege access, and empower developers to innovate within a secure and compliant environment.

Sports

AWS re:Invent 2024 - Revolutionizing sports with generative AI: The Bundesliga trailblazer (SPT207)

This talk discusses how Bundesliga, the German Premier Football League, is revolutionizing sports with the help of generative AI and AWS services. The speakers highlight Bundesliga's customer-centric approach, data-driven innovations, and future plans to enhance fan experiences, automate content production, and personalize content across multiple languages and platforms.

Sustainability

AWS re:Invent 2024 - Scepter, Inc. uses big data to reduce methane emissions (AES301)

The video presents a collaboration between Scepter, Inc., AWS, and ExxonMobil to use big data and cloud computing to monitor the atmosphere and detect methane emissions. The system leverages various sensor technologies, including satellites, high-altitude balloons, and ground-based sensors, to provide real-time, low-latency detection and quantification of methane leaks, enabling efficient mitigation efforts.