Romi Datta
Employers on the program
- 2021–2022Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Improve FMs with Amazon SageMaker human-in-the-loop capabilitiesAmazon SageMaker Ground Truth offers a set of human-in-the-loop capabilities for machine learning, allowing you to harness the power of human feedback across…Show lessAmazon SageMaker Ground Truth offers a set of human-in-the-loop capabilities for machine learning, allowing you to harness the power of human feedback across the ML lifecycle. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Prepare data and model features for ML with ease, speed, and accuracy as AWS Join this chalk talk to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can…Show lessJoin this chalk talk to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can label, prepare, and understand your data and engineer model features. | Slides |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Store features across teams with Amazon Feature Store, featuring Zalando as AWS Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are…Show lessAmazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are used repeatedly by multiple teams, and feature quality is critical to ensure a highly accurate model. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | Prepare data for ML with ease, speed, and accuracy as Amazon Web Services Join this session to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can…Show lessJoin this session to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can label, prepare, and understand your data. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sengstacken | 3 | — | 2023 |
| Abhay Saxena | 3 | — | 2023 |
| Adam Hesch | 3 | — | 2023 |
| Adam Hill | 3 | — | 2023 |
| Adam Palmer | 3 | — | 2023 |
| Adam Selipsky | 3 | — | 2023 |
| Adnan Bilwani | 3 | — | 2023 |
| Adolfo Hernandez | 3 | — | 2023 |
| Akash Bhatia | 3 | — | 2023 |
| Ala Abunijem | 3 | — | 2023 |
| Alan Halachmi | 3 | — | 2023 |
| Alex DeBrie | 3 | — | 2023 |
| Alex Torres | 3 | — | 2023 |
| Alexandra Huides | 3 | — | 2023 |
| Ali Saidi | 3 | — | 2023 |
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.