Tony Gibbs
Employers on the program
- 2019–2025Amazon Web Services6 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Build agentic AI–powered search with Amazon Aurora and Amazon RDS as AWS The integration of embeddings generated from LLMs with Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL offers a powerful and efficient…Show lessThe integration of embeddings generated from LLMs with Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL offers a powerful and efficient solution for optimizing product catalog similarity search experience. | |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Deep dive on Amazon Timestream as AWS Amazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze…Show lessAmazon Timestream is a fast, scalable, and serverless time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at as little as one-tenth the cost of relational databases. In this session, dive deep on Amazon Timestream features and capabilities, including its serverless automatic scaling architecture, its storage... | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | [REPEAT 1] Migrate your data warehouse to the cloud in record time, featuring Nielsen as Amazon Web Services Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a…Show lessModern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a representative from Nielsen explains how they migrated from a leading on-premises data warehouse to Amazon Redshift in record time. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | [REPEAT 1] What’s new with Amazon Redshift, featuring Yelp as Amazon Web Services Learn about the most important and hottest new features of Amazon Redshift. In this session, we discuss the architectural evolution of Amazon Redshift and how…Show lessLearn about the most important and hottest new features of Amazon Redshift. In this session, we discuss the architectural evolution of Amazon Redshift and how it uses machine learning to create a self-optimizing data warehouse. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | [REPEAT] Migrate your data warehouse to the cloud in record time, featuring Fannie Mae as Amazon Web Services Modern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a…Show lessModern data warehousing blends and analyzes all your data—in your data warehouse and in your data lake—without needing to move the data. In this session, a representative from Fannie Mae explains how they migrated from a leading on-premises data warehouse to Amazon Redshift in record time. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Deep dive and best practices for Amazon Redshift as Amazon Web Services In this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way to analyze all your data, inside…Show lessIn this session, we take an in-depth look at best practices for data warehousing with Amazon Redshift. We show you the best way to analyze all your data, inside and outside your data warehouse, without moving the data, which helps you gain deeper insights for running your business. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Harshida Patel | 3 | 1 | 2025 |
| Alex DeBrie | 3 | — | 2025 |
| Ali Saidi | 3 | — | 2025 |
| Andrew Baird | 3 | — | 2025 |
| Anuj Dewangan | 3 | — | 2025 |
| Ashish Palekar | 3 | — | 2025 |
| Brian Beach | 3 | — | 2025 |
| Carl Meadows | 3 | — | 2025 |
| Chad Schmutzer | 3 | — | 2025 |
| Colm MacCárthaigh | 3 | — | 2025 |
| Damon LaCaille | 3 | — | 2025 |
| David Yanacek | 3 | — | 2025 |
| Deepak Singh | 3 | — | 2025 |
| Dirk Fröhner | 3 | — | 2025 |
| Eric Johnson | 3 | — | 2025 |
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.