Lakshmi Ramchandran Nair
Employers on the program
- 2024–2026Amazon Web Services3 talks
Upcoming appearances
Who’s booked ahead? →Event dates shown; only events starting today or later count. 1 upcoming event.
-
AWS re:Invent 2026 – · Las Vegas, United States
- Building high-quality data products for AI agents chalk talk Program source ↗
No upcoming appearances are currently recorded.
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 | Building high-quality data products for AI agents as AWS AI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual…Show lessAI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual information for use by AI agents. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Building high-quality data products for AI Agents as AWS AI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual…Show lessAI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual information for use by AI agents. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Democratize generative AI data access without compromising on security [REPEAT] as Amazon Web Services Building a generative AI application requires a seamlessly integrated centralized service for data governance and access controls. Using Amazon DataZone,…Show lessBuilding a generative AI application requires a seamlessly integrated centralized service for data governance and access controls. Using Amazon DataZone, organizations can maintain robust data governance and security access controls to make their data securely available for generative AI projects across business teams. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| David Victoria | 3 | 1 | 2026 |
| Jason Berkowitz | 3 | 1 | 2026 |
| Aaron Chen | 3 | — | 2026 |
| Aaron Sempf | 3 | — | 2026 |
| Aarthi Raju | 3 | — | 2026 |
| Abbas Mooraj | 3 | — | 2026 |
| Abhijeet Jangam | 3 | — | 2026 |
| Abhishek Pandey | 3 | — | 2026 |
| Abhishek Sharma | 3 | — | 2026 |
| Abhishek Srivastav | 3 | — | 2026 |
| Abilashkumar P C | 3 | — | 2026 |
| Adam Hill | 3 | — | 2026 |
| Adam Richter | 3 | — | 2026 |
| Addy Upreti | 3 | — | 2026 |
| Aditi Garg | 3 | — | 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.