Data Conference Databasea Query.Farm index
Speakers

Sai Latha Rudrabhatla

Employers on the program

  1. 2022–2024Amazon Web Services3 talks
Events3
Conferences1
Talks4
Years active2022–2024

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Dec 2, 2024AWS re:Invent 2024AWS re:InventbreakoutBoost employee productivity with Amazon Q Business
as Amazon Web Services
In this session, explore how to use Amazon Q Business, a generative AI–powered assistant, to remove the tasks that slow your team down. Quickly customize Amazon…Show less

In this session, explore how to use Amazon Q Business, a generative AI–powered assistant, to remove the tasks that slow your team down. Quickly customize Amazon Q Business to answer questions, provide summaries, generate content, and complete tasks based on data and information in your enterprise systems.

Video
Dec 2, 2024AWS re:Invent 2024AWS re:InventbreakoutReshaping customer & employee experiences with Anthropic and Amazon Q (sponsored by Anthropic)
as Amazon Web Services

This session, jointly delivered by AWS and Anthropic, explores the real-world impact of integrating Anthropic’s Claude AI into generative AI assistants on AWS.

Video
Nov 27, 2023AWS re:Invent 2023AWS re:Inventbuilders sessionLearn and experiment with LLMs in Amazon SageMaker Studio Lab [REPEAT]
Machine learning can sound complicated, but Amazon SageMaker Studio Lab makes it easier for anyone to get started at no cost. In this hands-on builders’…Show less

Machine learning can sound complicated, but Amazon SageMaker Studio Lab makes it easier for anyone to get started at no cost. In this hands-on builders’ session, be guided through the basics of experimenting with large language models (LLMs) in Amazon SageMaker Studio Lab.

Nov 28, 2022AWS re:Invent 2022AWS re:Inventbreakout[NEW LAUNCH!] Improve ML governance with deeper control and transparency in SageMaker
as AWS
As companies are increasingly adopting ML in mainstream enterprise applications, they require control over and visibility into their ML projects, also known as…Show less

As companies are increasingly adopting ML in mainstream enterprise applications, they require control over and visibility into their ML projects, also known as ML governance. Amazon SageMaker is launching new capabilities to help customers define user permissions and document model information and gain insights into model performance from a single pane of glass.

SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Vadim Omeltchenko312024
Aaron Sempf3—2024
Aaron Sengstacken3—2024
Abbas Mooraj3—2024
Abhay Saxena3—2024
Abhinav Jawadekar3—2024
Abhisheikh Lahoti3—2024
Abhishek Srivastav3—2024
Adam Hill3—2024
Adam Keller3—2024
Adam Palmer3—2024
Adam Seligman3—2024
Adam Wagner3—2024
Aditya Samant3—2024
Adnan Bilwani3—2024

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.