Ed Gummett
Employers on the program
- 2022–2026Amazon Web Services6 talks
Appearances by year
- AWS re:Invent
- Data Decoded
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | A practical guide to Amazon S3 data protection as AWS Learn step-by-step methods to protect your critical Amazon S3 data against accidental deletion, ransomware, and corruption, even at billion-object and petabyte…Show lessLearn step-by-step methods to protect your critical Amazon S3 data against accidental deletion, ransomware, and corruption, even at billion-object and petabyte scale. | |
| Oct 13, 2026 | Data Decoded MCR 2026 | Data Decoded | speaker | Modern Data Foundations in the Agentic AI Era as AWS | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | A practical guide to Amazon S3 data protection and recovery [REPEAT] as AWS Learn step-by-step methods to protect your critical Amazon S3 data against accidental deletion, ransomware, and corruption. This chalk talk provides hands-on…Show lessLearn step-by-step methods to protect your critical Amazon S3 data against accidental deletion, ransomware, and corruption. This chalk talk provides hands-on guidance for implementing essential safeguards through S3 Versioning, Cross-Region Replication, and Object Lock configurations. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Build fast, scalable infrastructure for AI/ML with AWS storage [REPEAT] as AWS High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. This…Show lessHigh-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. This workshop focuses on optimizing storage solutions for intensive GPU and AWS Trainium workloads. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Build fast, scalable infrastructure for AI/ML with AWS storage as AWS High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. Managing…Show lessHigh-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. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Best practices and cost optimization for Amazon S3 File GatewayIn this chalk talk, dive into the world of Amazon S3 File Gateway to uncover how to optimize costs while ensuring robust data protection. S3 File Gateway…Show lessIn this chalk talk, dive into the world of Amazon S3 File Gateway to uncover how to optimize costs while ensuring robust data protection. S3 File Gateway seamlessly connects to the cloud to store application data files and images as durable objects in Amazon S3. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | workshop | Build fast, scalable infrastructure for AI/ML with AWS storage [REPEAT]High-performance storage is critical for saving time and money when training ML and large language models (LLM) for generative AI. Optimization requires…Show lessHigh-performance storage is critical for saving time and money when training ML and large language models (LLM) for generative AI. Optimization requires managing intensive GPUs and purpose-built accelerators including AWS Trainium. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | workshop | Deploying Amazon S3 in multiple AWS Regions to support global applications as AWS Amazon S3 Multi-Region Access Points provide a single global endpoint to access a dataset that spans multiple Amazon S3 buckets in different AWS Regions. This…Show lessAmazon S3 Multi-Region Access Points provide a single global endpoint to access a dataset that spans multiple Amazon S3 buckets in different AWS Regions. This allows you to build multi-Region applications with the same simple architecture used in a single Region and then to run those applications anywhere in the world. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sempf | 5 | — | 2026 |
| Abbas Mooraj | 5 | — | 2026 |
| Abhishek Srivastav | 5 | — | 2026 |
| Adam Hill | 5 | — | 2026 |
| Aditya Samant | 5 | — | 2026 |
| Adnan Bilwani | 5 | — | 2026 |
| Ahuva Hazan-Fuchs | 5 | — | 2026 |
| Alexander Dragunov | 5 | — | 2026 |
| Ali Alemi | 5 | — | 2026 |
| Ali Saidi | 5 | — | 2026 |
| Allyn Henderson | 5 | — | 2026 |
| Ameen Khan S | 5 | — | 2026 |
| Amit Kumar | 5 | — | 2026 |
| Amit Shah | 5 | — | 2026 |
| Amrith Kumar | 5 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.