Sai Latha Rudrabhatla
Employers on the program
- 2022–2024Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Boost employee productivity with Amazon Q Business as Amazon Web Services In this session, explore how to use Amazon Q Business, a generative AI–powered assistant, to remove the tasks that slow your team down. Quickly customize Amazon…Show lessIn this session, explore how to use Amazon Q Business, a generative AI–powered assistant, to remove the tasks that slow your team down. Quickly customize Amazon Q Business to answer questions, provide summaries, generate content, and complete tasks based on data and information in your enterprise systems. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Reshaping customer & employee experiences with Anthropic and Amazon Q (sponsored by Anthropic) as Amazon Web Services This session, jointly delivered by AWS and Anthropic, explores the real-world impact of integrating Anthropic’s Claude AI into generative AI assistants on AWS. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Learn and experiment with LLMs in Amazon SageMaker Studio Lab [REPEAT]Machine learning can sound complicated, but Amazon SageMaker Studio Lab makes it easier for anyone to get started at no cost. In this hands-on builders’…Show lessMachine learning can sound complicated, but Amazon SageMaker Studio Lab makes it easier for anyone to get started at no cost. In this hands-on builders’ session, be guided through the basics of experimenting with large language models (LLMs) in Amazon SageMaker Studio Lab. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | [NEW LAUNCH!] Improve ML governance with deeper control and transparency in SageMaker as AWS As companies are increasingly adopting ML in mainstream enterprise applications, they require control over and visibility into their ML projects, also known as…Show lessAs companies are increasingly adopting ML in mainstream enterprise applications, they require control over and visibility into their ML projects, also known as ML governance. Amazon SageMaker is launching new capabilities to help customers define user permissions and document model information and gain insights into model performance from a single pane of glass. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Vadim Omeltchenko | 3 | 1 | 2024 |
| Aaron Sempf | 3 | — | 2024 |
| Aaron Sengstacken | 3 | — | 2024 |
| Abbas Mooraj | 3 | — | 2024 |
| Abhay Saxena | 3 | — | 2024 |
| Abhinav Jawadekar | 3 | — | 2024 |
| Abhisheikh Lahoti | 3 | — | 2024 |
| Abhishek Srivastav | 3 | — | 2024 |
| Adam Hill | 3 | — | 2024 |
| Adam Keller | 3 | — | 2024 |
| Adam Palmer | 3 | — | 2024 |
| Adam Seligman | 3 | — | 2024 |
| Adam Wagner | 3 | — | 2024 |
| Aditya Samant | 3 | — | 2024 |
| Adnan Bilwani | 3 | — | 2024 |
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.