Ram Vittal
Employers on the program
- 2022–2026Amazon Web Services4 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 |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Your data is your AI advantage: From foundation to business value as Amazon Your AI is only as good as the data underneath it. Most teams treat data preparation and model serving as separate problems, then wonder why costs spike and…Show lessYour AI is only as good as the data underneath it. Most teams treat data preparation and model serving as separate problems, then wonder why costs spike and quality drops at scale. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Model governance at scale with SageMaker AI as Amazon Join us to learn how organizations across industries - from finance to healthcare - are building powerful, specialized AI applications using these techniques. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Scaling AI/ML governanceCustomers of every size and industry are innovating on AWS by infusing AI/ML into their products and services. Recent developments in generative AI have…Show lessCustomers of every size and industry are innovating on AWS by infusing AI/ML into their products and services. Recent developments in generative AI have accelerated the need for AI adoption. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Build, manage, and scale ML development with a web-based visual interface as AWS Amazon SageMaker Studio is an integrated development environment (IDE) for data science and machine learning (ML). In this session, explore how to use SageMaker…Show lessAmazon SageMaker Studio is an integrated development environment (IDE) for data science and machine learning (ML). In this session, explore how to use SageMaker Studio to prepare data and build, train, deploy, and manage ML models from a single, web-based visual interface. | SlidesVideo |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Define user permissions and gain insights into your ML models as AWS Companies are relying more and more on machine learning (ML) to drive innovation in their business applications. As a result, they need tighter control and…Show lessCompanies are relying more and more on machine learning (ML) to drive innovation in their business applications. As a result, they need tighter control and deeper transparency across the lifecycles of their ML models. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Rekha Seshadrinathan | 4 | 1 | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Aditya Pendyala | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alex Livingstone | 4 | — | 2026 |
| Alexander Dragunov | 4 | — | 2026 |
| Ali Alemi | 4 | — | 2026 |
| Ali Saidi | 4 | — | 2026 |
| Allyn Henderson | 4 | — | 2026 |
| Ameen Khan S | 4 | — | 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.