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Catalog

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Explore the AWS re:Invent catalog to discover a wide variety of session types, activities, and more. Or visit our Content Types and Policies page to learn more about how to navigate our catalog and event. New content is added regularly, and all content is subject to change.

Registration

14 sessions

Workshop
Analytics
Security, Compliance & Identity
Cross-Industry Solutions
Data Protection
Modernization
300 – Advanced
Wynn
Tuesday, Dec 03
3:00 p.m. Tuesday, Dec 03
A data mesh is a distributed, domain-driven architecture that defines responsibilities and coordination across separate domain teams and data products. A data mesh requires data governance to ensure data quality, consistency, security, and trust across domains. In this workshop, learn how to build with Amazon DataZone to help manage and govern your data mesh. Explore automating data discovery, cataloging, and sharing; analyzing data quality; visualizing data lineage; and governing data access to meet objectives. Through hands-on exercises, gain practical experience designing, deploying, and maintaining a well-governed data mesh solution using Amazon DataZone. You must bring your laptop to participate.
, Sr Data Specialist, AWS
, Data Strategy Solutions Architect, Amazon Web Services
- Tuesday, Dec 33:30 PM - 5:30 PM PST
  Wynn | Upper Convention Promenade | Cristal 3
Workshop
Analytics
Security, Compliance & Identity
Cross-Industry Solutions
Data Protection
Modernization
300 – Advanced
MGM Grand
4:00 p.m. Wednesday, Dec 04
Wednesday, Dec 04
A data mesh is a distributed, domain-driven architecture that defines responsibilities and coordination across separate domain teams and data products. A data mesh requires data governance to ensure data quality, consistency, security, and trust across domains. In this workshop, learn how to build with Amazon DataZone to help manage and govern your data mesh. Explore automating data discovery, cataloging, and sharing; analyzing data quality; visualizing data lineage; and governing data access to meet objectives. Through hands-on exercises, gain practical experience designing, deploying, and maintaining a well-governed data mesh solution using Amazon DataZone. You must bring your laptop to participate.
, Sr Data Specialist, AWS
, Data Strategy Solutions Architect, Amazon Web Services
- Wednesday, Dec 44:00 PM - 6:00 PM PST
  MGM Grand | Level 1 | Grand 118
Chalk talk
AI/ML
Aerospace & Satellite
Automotive
Manufacturing & Industrial
Generative AI
300 – Advanced
Developer / Engineer
IT Professional / Technical Manager
Solution / Systems Architect
Wynn
Amazon Bedrock
Tuesday, Dec 03
5:00 p.m. Tuesday, Dec 03
In this chalk talk, learn how generative AI can transform product R&D documentation into actionable model-based systems engineering (MBSE) models. Organizations developing highly complex, safety-critical products like aircraft, space systems, and medical equipment require extensive collaboration across engineering disciplines and global stakeholders. Traditionally, this has relied on using documents for R&D specification and design. Explore how users can leverage generative AI to migrate from document-based to model-based systems engineering approach to help reduce design cycle times and improve operational readiness.
, Sr. Solution Architect, AWS
, Sr Solutions Architect, Amazon Web Services
- Tuesday, Dec 35:30 PM - 6:30 PM PST
  Wynn | Convention Promenade | Montrachet 1
Lightning talk
AI/ML
Cloud Operations
Healthcare & Life Sciences
Customer Stories
Lambda-Based Applications
Innovation & Transformation
200 – Intermediate
Business Executive
Data Engineer
IT Professional / Technical Manager
Venetian
Walk-up only: No reserved seating required
Amazon RedShift
Amazon SageMaker
AWS Lambda
Tuesday, Dec 03
12:00 p.m. Tuesday, Dec 03
Cloud computing is revolutionizing pharmaceutical R&D by enabling a shift from rigid, centralized systems to a flexible, modular ecosystem. In this lightning talk, learn how PwC and AWS collaborated to develop an integrated solution that enhances how R&D operations data is managed. This platform integrates AWS Lambda for serverless computing, Amazon S3 for scalable storage, Amazon Redshift for data warehousing, Amazon SageMaker for machine learning, and Amazon Bedrock to deliver predictive forecasts and integrated analytics. Discover how PwC utilized these offerings to solve critical business problems, transitioning organizations from manual insights to automated analytics while boosting efficiency and agility in drug development. This presentation is brought to you by PwC, an AWS Partner.
, Director, PwC
, Director, PwC
Walk up only session: Walk-up only: No reserved seating required
- Tuesday, Dec 312:00 PM - 12:20 PM PST
  Venetian | Hall B | Expo | Theater 2
Chalk talk
Compute
Cross-Industry Solutions
Healthcare & Life Sciences
Manufacturing & Industrial
Cost Optimization
Innovation & Transformation
400 – Expert
Academic / Researcher
Developer / Engineer
Solution / Systems Architect
MGM Grand
Amazon Elastic Compute Cloud (Amazon EC2)
Tuesday, Dec 03
1:00 p.m. Tuesday, Dec 03
Research and Engineering Studio on AWS (RES) lets IT teams deliver an easy-to-consume interface to R&D teams like scientists and engineers, without the fuss of knowing all the DevOps necessary. This is handy when trying to deliver graphical desktops in the cloud, but it’s a supercharge for their productivity when training models or running complex simulations on clusters is involved. Learn how RES works on the inside to make that experience great for your end users.
, Principal Product Manager, Amazon Web Services
, HPC Solutions Architect, AWS
- Tuesday, Dec 31:00 PM - 2:00 PM PST
  MGM Grand | Level 1 | Boulevard 158
Breakout session
AI/ML
Healthcare & Life Sciences
Customer Stories
Generative AI
Governance, Risk, & Compliance
200 – Intermediate
Data Scientist
IT Executive
IT Professional / Technical Manager
Venetian
Amazon Bedrock
Amazon Q
Amazon SageMaker
Wednesday, Dec 04
11:00 a.m. Wednesday, Dec 04
Generative AI has transformative potential in accelerating life sciences research and development activities. AI-driven molecule design, protein structure prediction, optimization of experimental protocols, and streamlining regulatory documentation submissions are all areas where gen AI can bring new value. In this industry panel, executives discuss the impact gen AI can have on drug discovery, protein engineering, genomic analysis, and regulatory approvals. The panel examines real-life examples that demonstrate time and cost savings in R&D and discusses future considerations in personalized medicine, synthetic biology, and regulatory intelligence that offer insights into gen AI's potential to reinvent the life sciences landscape. This presentation is brought to you by Accenture, an AWS Partner.
, Managing Director, Life Sciences R&D, Accenture
, Sr. Director, Global Business Development, Life Sciences, A-List- NVIDIA colleagues & Friends- 365 Inspire (Dunlap)
, VP, Digital R&D, Pfizer Inc
, SVP - Chief Technology Officer, Takeda
- Wednesday, Dec 411:30 AM - 12:30 PM PST
  Venetian | Level 3 | Murano 3304
Breakout session
Newly announced content
Business Applications
Compute
Cross-Industry Solutions
Quantum Technologies
Newly announced content
200 – Intermediate
Academic / Researcher
Solution / Systems Architect
MGM Grand
Amazon Braket
Monday, Dec 02
1:00 p.m. Monday, Dec 02
Quantum computing is one day expected to solve problems that are beyond the reach of today’s most powerful classical computers. But these computers won't operate in isolation. Instead, quantum computers will be an integral part of high performance computing architectures to transform challenging workflows, such as drug discovery, portfolio optimization, and more. In this session, learn how AWS technology is progressing toward this vision and how these tools help customers innovate at every stage of their journey. Hear from NVIDIA on how they, together with AWS, are taking a long-term perspective to address the resource requirements up and down the quantum software stack to deliver a production-grade hybrid quantum infrastructure.
, Director Quantum Algorithm Engineering, NVIDIA Corporation
, Head of Product, Amazon Braket, Amazon Web Services
- Monday, Dec 21:30 PM - 2:30 PM PST
  MGM Grand | Level 3 | Chairmans 364
New Launch: Newly announced content
Breakout session
AI/ML
Retail & Consumer Goods
Amazon
Generative AI
300 – Advanced
Developer / Engineer
IT Professional / Technical Manager
Solution / Systems Architect
Wynn
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
AWS Inferentia
Silent session
4:00 p.m. Monday, Dec 02
Monday, Dec 02
This session explores two Amazon.com generative AI solutions: Rufus, a real-time shopping assistant, and review highlights, which summarizes customer reviews offline. The Amazon teams behind these solutions share strategies for using generative AI at scale, addressing unique challenges, and meeting customer needs. The presentation delves into Amazon's approach of combining hybrid ML workflows using Amazon SageMaker and massive-scale, real-time inferencing using 80,000 AWS Inferentia and AWS Trainium chipsets. Discover how Amazon continuously evolves its generative AI solutions to create cost-effective, high-quality, and customer-centric experiences for customers.
, Principal Engineer, Amazon.com
, Director, Community Feedback, Amazon
, Principal AI/ML Specialist SA, Amazon Web Services
- Monday, Dec 24:00 PM - 5:00 PM PST
  Wynn | Level 1 | Lafite 4 | Content Hub | Pink Screen
Chalk talk
Compute
Cross-Industry Solutions
Healthcare & Life Sciences
Manufacturing & Industrial
Cost Optimization
Innovation & Transformation
400 – Expert
Academic / Researcher
Developer / Engineer
Solution / Systems Architect
Caesars Forum
Amazon Elastic Compute Cloud (Amazon EC2)
Tuesday, Dec 03
4:00 p.m. Tuesday, Dec 03
High performance computing (HPC) involves techniques that leverage speed and scale to let R&D teams solve problems in human scales of time. This chalk talk works through the tools, services, and techniques available to you in the cloud to ensure you're able to tap the right compute—at the right scale—when you need it. Discuss specialist HPC instances, interconnects, capacity blocks, and reservation tools so you can get predictable outcomes every time.
, GTM Specialist Lead, HPC and Accelerated Computing, AWS
, Head of Technology, Advanced Computing and Simulation, AWS
- Tuesday, Dec 34:00 PM - 5:00 PM PST
  Caesars Forum | Level 1 | Academy 416
Breakout session
New to AWS
Cross-Industry Solutions
Independent Software Vendor (ISV)
SaaS
200 – Intermediate
Business Executive
Entrepreneur (Founder/Co-Founder)
Sales / Marketing
Mandalay Bay
Silent session
Thursday, Dec 05
11:00 a.m. Thursday, Dec 05
In this session, learn how product and technology officers at software companies continue to drive their innovation agenda, maintain differentiation, and avoid disruption. Technologies like generative AI have captured the imagination of the industry and are poised to bring in the next wave of advancements. However, software companies face challenges such as navigating the current macroeconomic climate and optimizing their capital allocation, profitability, and R&D priorities. Explore strategies for how product and technology officers can work together to build a strong foundation for business.
, Head of WW ISV Product Management Transformation, Amazon
- Thursday, Dec 511:30 AM - 12:30 PM PST
  Mandalay Bay | Lower Level North | South Pacific E | Pink
Breakout session
AI/ML
Analytics
Cross-Industry Solutions
Healthcare & Life Sciences
Generative AI
Innovation & Transformation
Professional Services
200 – Intermediate
Data Scientist
Developer / Engineer
IT Professional / Technical Manager
MGM Grand
Amazon Bedrock
Tuesday, Dec 03
4:00 p.m. Tuesday, Dec 03
Merck, a leading pharmaceutical company, constantly seeks new ways to speed its R&D. Its data and analytics team faced significant challenges extracting insights from its massive healthcare databases and found that writing complex SQL queries was time-consuming and error-prone. To address this, Merck collaborated with the AWS Generative AI Innovation Center to implement a generative AI text-to-SQL solution using Anthropic's Claude models on Amazon Bedrock. This innovation enables analysts to generate SQL queries from natural language with over 95% accuracy. Data workflows are now significantly streamlined, allowing Merck's scientists to make faster, more confident decisions and easily scale to incorporate additional databases.
, Principal Scientist, Merck & Co.
, Senior Applied Scientist, Amazon
, Applied Scientist II, Amazon
- Tuesday, Dec 34:00 PM - 5:00 PM PST
  MGM Grand | Level 3 | Premier 318
Builders' session
AI/ML
Business Applications
AWS Marketplace
300 – Advanced
MGM Grand
Amazon SageMaker
Tuesday, Dec 03
4:00 p.m. Tuesday, Dec 03
In this builders’ session, gain hands-on experience using pretrained generative AI models from AWS Marketplace to create content for practical business use cases. Learn how you can use leading generative AI models while maintaining privacy. These third-party models from AWS Marketplace are deployed to Amazon SageMaker in your own AWS account, which ensures that the prompts, data, and model responses stay within the boundaries of your account and are not shared with model providers. This is important for business use cases where competitive or confidential information may be used with models. You must bring your laptop to participate.
, AI/ML Lead, AWS Marketplace, Amazon
, Specialist Solution Architect, Amazon Web Services
, Sr. Solutions Architect, AWS
, Sr. Manager, Partner SA, Amazon Web Services
, Manager, PSA, Amazon Web Services
- Tuesday, Dec 34:00 PM - 5:00 PM PST
  MGM Grand | Level 1 | Terrace 151
Builders' session
AI/ML
Business Applications
AWS Marketplace
300 – Advanced
Caesars Forum
Amazon SageMaker
4:00 p.m. Monday, Dec 02
Monday, Dec 02
In this builders’ session, gain hands-on experience using pretrained generative AI models from AWS Marketplace to create content for practical business use cases. Learn how you can use leading generative AI models while maintaining privacy. These third-party models from AWS Marketplace are deployed to Amazon SageMaker in your own AWS account, which ensures that the prompts, data, and model responses stay within the boundaries of your account and are not shared with model providers. This is important for business use cases where competitive or confidential information may be used with models. You must bring your laptop to participate.
, AI/ML Lead, AWS Marketplace, Amazon
, Specialist Solution Architect, Amazon Web Services
, Sr. Solutions Architect, AWS
, Sr. Manager, Partner SA, Amazon Web Services
, Manager, PSA, Amazon Web Services
- Monday, Dec 24:00 PM - 5:00 PM PST
  Caesars Forum | Level 1 | Summit 232 | Content Hub | Builder's 1
Builders' session
AI/ML
Business Applications
AWS Marketplace
300 – Advanced
Caesars Forum
Amazon SageMaker
4:00 p.m. Wednesday, Dec 04
Wednesday, Dec 04
In this builders’ session, gain hands-on experience using pretrained generative AI models from AWS Marketplace to create content for practical business use cases. Learn how you can use leading generative AI models while maintaining privacy. These third-party models from AWS Marketplace are deployed to Amazon SageMaker in your own AWS account, which ensures that the prompts, data, and model responses stay within the boundaries of your account and are not shared with model providers. This is important for business use cases where competitive or confidential information may be used with models. You must bring your laptop to participate.
, AI/ML Lead, AWS Marketplace, Amazon
, Specialist Solution Architect, Amazon Web Services
, Sr. Solutions Architect, AWS
, Sr. Manager, Partner SA, Amazon Web Services
, Manager, PSA, Amazon Web Services
- Wednesday, Dec 44:00 PM - 5:00 PM PST
  Caesars Forum | Level 1 | Summit 232 | Content Hub | Builder's 1