Ayan Ray
Employers on the program
- 2024–2026Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | breakout | Claude It Your Way: Anthropic on AWS as Amazon Web Services Your teams want Claude for coding, agents, and knowledge work, and there are more ways than ever to reach it. This session maps every path to Anthropic on AWS. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Agentic AI Solutions for Financial Services & Insurance with AWS as Amazon Web Services Join us for an exciting deep dive into cutting-edge AI solutions for financial services and insurance Partners using AWS technologies! Discover how to harness…Show lessJoin us for an exciting deep dive into cutting-edge AI solutions for financial services and insurance Partners using AWS technologies! Discover how to harness Amazon Bedrock AgentCore and Strands SDK to enhance customer experiences. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | Building RAG applications with Elasticsearch and Amazon Bedrock (sponsored by Elastic) as Amazon Web Services Learn how to employ Elastic’s integration of Amazon Bedrock with its Elasticsearch Open Inference API and Playground to enhance the flexibility for developers…Show lessLearn how to employ Elastic’s integration of Amazon Bedrock with its Elasticsearch Open Inference API and Playground to enhance the flexibility for developers to build RAG applications using any large language model on Amazon Bedrock. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | Making semantic search & RAG real: How to build a prod-ready app (sponsored by Elastic)Private data retrieval is a key to the puzzle that is making LLMs work at scale. However, is it really about the fastest kNN implementation that can return…Show lessPrivate data retrieval is a key to the puzzle that is making LLMs work at scale. However, is it really about the fastest kNN implementation that can return search results? | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Chen | 4 | — | 2026 |
| Aaron Sempf | 4 | — | 2026 |
| Abbas Mooraj | 4 | — | 2026 |
| Abhishek Pandey | 4 | — | 2026 |
| Abhishek Sharma | 4 | — | 2026 |
| Abhishek Srivastav | 4 | — | 2026 |
| Adam Hill | 4 | — | 2026 |
| Addy Upreti | 4 | — | 2026 |
| Aditi Garg | 4 | — | 2026 |
| Aditya Challa | 4 | — | 2026 |
| Aditya Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alak Eswaradass | 4 | — | 2026 |
| Alex Goff | 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.