Data Conference Databasea Query.Farm index
Speakers

Shyam Srinivasan

Employers on the program

  1. 2019–2025Amazon Web Services3 talks
Events4
Conferences1
Talks5
Years active2019–2025

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.

JanFebMarAprMayJunJulAugSepOctNovDecAWS re:InventAWS re:Invent
Held in the past 12 months Next 12 months Today, Nov 10, 2026

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Dec 1, 2025AWS re:Invent 2025AWS re:Inventchalk talkSafeguard 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, 2024AWS re:Invent 2024AWS re:InventbreakoutKONE 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 less

Amazon 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, 2023AWS re:Invent 2023AWS re:Inventbreakout[NEW LAUNCH] Coming soon

New announcements will be made throughout re:Invent. Continue to check back for newly released sessions.

Nov 27, 2023AWS re:Invent 2023AWS re:InventworkshopBuild and evaluate state-of-the-art ML models without writing code
Building machine learning (ML) models can be complex and time-consuming. Amazon SageMaker Canvas simplifies the experience by providing a visual interface to…Show less

Building 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, 2019AWS re:Invent 2019AWS re:InventbreakoutAmazon 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 less

Amazon 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

SpeakerShared eventsShared talksLast together
Andrew Crudge412025
Eric Brandwine412025
Jean-Pierre Dodel412025
Smitha Sriram412025
Ahmed Bebars4—2025
Alan Halachmi4—2025
Alex DeBrie4—2025
Ali Saidi4—2025
Amit Kumar4—2025
Andrew Kane4—2025
Andrew Krug4—2025
Andy Reedy4—2025
Andy Warfield4—2025
Antonio Rodriguez4—2025
Arthur Petitpierre4—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.