Vidya Sagar Ravipati
Employers on the program
- 2021–2025Amazon Web Services3 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 | breakout | How Yahoo! Finance built research multi-agent systems with Gen AI as Amazon Web Services Explore how enterprises are adopting and scaling multi-agent systems with Amazon Bedrock and AgentCore for advanced data analysis and research applications. In…Show lessExplore how enterprises are adopting and scaling multi-agent systems with Amazon Bedrock and AgentCore for advanced data analysis and research applications. In this session, Dipen Rughwani from Yahoo Finance will share his journey on designing and implementing multi-agent systems for financial question answering. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Automating insurance claims and policy management using generative AI as Amazon Web Series Insurance companies manage extensive procedure documents, making manual processing time-consuming and complex. This session introduces a generative AI-based…Show lessInsurance companies manage extensive procedure documents, making manual processing time-consuming and complex. This session introduces a generative AI-based solution to automate and scale these operations. | |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | workshop | End-to-end 3D machine learning on Amazon SageMaker as Amazon Web Services As lidar sensors become more accessible and cost-effective, customers increasingly use point cloud data in new spaces like autonomous driving, robotics, and…Show lessAs lidar sensors become more accessible and cost-effective, customers increasingly use point cloud data in new spaces like autonomous driving, robotics, and augmented reality. The growing availability of lidar sensors has increased use of point cloud data for ML tasks like 3D object detection, segmentation, object synthesis, and reconstruction. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Isaac Privitera | 3 | 1 | 2025 |
| Aarthi Raju | 3 | — | 2025 |
| Abhi Khanna | 3 | — | 2025 |
| Adam Hill | 3 | — | 2025 |
| Aditya Kalyanakrishnan | 3 | — | 2025 |
| Adnan Bilwani | 3 | — | 2025 |
| Ajay Ravindranathan | 3 | — | 2025 |
| Alan Halachmi | 3 | — | 2025 |
| Alex DeBrie | 3 | — | 2025 |
| Alex Iankoulski | 3 | — | 2025 |
| Alex Kestner | 3 | — | 2025 |
| Alexander Vladimirov | 3 | — | 2025 |
| Alexandra Huides | 3 | — | 2025 |
| Ali Saidi | 3 | — | 2025 |
| Alicia Trent | 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.