Shyam Srinivasan
Employers on the program
- 2019–2025Amazon 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 | chalk talk | Safeguard your generative AI applications with Amazon Bedrock Guardrails [REPEAT] as Amazon Web Services Customize safeguards specific to your generative AI applications with Amazon Bedrock Guardrails while using any model in or outside of Bedrock. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | KONE safeguards AI applications with Amazon Bedrock Guardrails as Amazon Web Services Amazon Bedrock Guardrails helps implement safety, privacy, and truthfulness in customers' generative AI applications with a single solution, regardless of the…Show lessAmazon Bedrock Guardrails helps implement safety, privacy, and truthfulness in customers' generative AI applications with a single solution, regardless of the underlying FM. | Video |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | breakout | [NEW LAUNCH] Coming soon New announcements will be made throughout re:Invent. Continue to check back for newly released sessions. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | workshop | Build and evaluate state-of-the-art ML models without writing codeBuilding machine learning (ML) models can be complex and time-consuming. Amazon SageMaker Canvas simplifies the experience by providing a visual interface to…Show lessBuilding machine learning (ML) models can be complex and time-consuming. Amazon SageMaker Canvas simplifies the experience by providing a visual interface to generate accurate ML predictions without having to write a single line of code. | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | Amazon SageMaker deep dive: A modular solution for machine learning as Amazon Web Services Amazon SageMaker is a fully managed service that offers developers and data scientists the flexibility to build, train, and deploy machine learning models…Show lessAmazon SageMaker is a fully managed service that offers developers and data scientists the flexibility to build, train, and deploy machine learning models through modular capabilities. In this session, we dive deep into the technical details of each module so you understand how to label and prepare your data, choose an algorithm, train and optimize the model, and make predictions. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Andrew Crudge | 4 | 1 | 2025 |
| Eric Brandwine | 4 | 1 | 2025 |
| Jean-Pierre Dodel | 4 | 1 | 2025 |
| Smitha Sriram | 4 | 1 | 2025 |
| Ahmed Bebars | 4 | — | 2025 |
| Alan Halachmi | 4 | — | 2025 |
| Alex DeBrie | 4 | — | 2025 |
| Ali Saidi | 4 | — | 2025 |
| Amit Kumar | 4 | — | 2025 |
| Andrew Kane | 4 | — | 2025 |
| Andrew Krug | 4 | — | 2025 |
| Andy Reedy | 4 | — | 2025 |
| Andy Warfield | 4 | — | 2025 |
| Antonio Rodriguez | 4 | — | 2025 |
| Arthur Petitpierre | 4 | — | 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.