Nishchai JM
Employers on the program
- 2024–2026Amazon 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 |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Trace Lineage From AI Endpoints and Models to Data as Amazon Web Services Every number in a dashboard and every answer from an AI agent rests on a chain of data you may not be able to see. Can you prove where it came from? | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | workshop | Solve complex data and AI governance challenges with Amazon SageMaker Catalog as Amazon Web Services Learn how to enhance data discovery by automatically enriching data and metadata with business context using generative AI, making it easier to find,…Show lessLearn how to enhance data discovery by automatically enriching data and metadata with business context using generative AI, making it easier to find, understand, and use data. Share data, AI models, prompts, and other generative AI assets with filtering by table and column names or business glossary terms. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Model your business structure with Amazon DataZone as Amazon Web Services Amazon DataZone enables organizations to model their business structure effectively, aligning data with operational domain units, authorization policies, and…Show lessAmazon DataZone enables organizations to model their business structure effectively, aligning data with operational domain units, authorization policies, and business context. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Build large-scale transactional data lakes with Apache Iceberg on AWS [REPEAT]Apache Iceberg is an open table format for very large analytic datasets. Apache Iceberg manages large collections of files as tables, and it supports modern…Show lessApache Iceberg is an open table format for very large analytic datasets. Apache Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aditya Challa | 4 | 1 | 2026 |
| David Victoria | 4 | 1 | 2026 |
| 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 Samant | 4 | — | 2026 |
| Adnan Bilwani | 4 | — | 2026 |
| Ahuva Hazan-Fuchs | 4 | — | 2026 |
| Alak Eswaradass | 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.