Data Conference Databasea Query.Farm index
Speakers

Emily Zhu

Employers on the program

  1. 2022–2026Amazon Web Services4 talks
Events3
Conferences1
Talks4
Years active2022–2026

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 9, 2026

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Nov 30, 2026AWS re:Invent 2026AWS re:Inventchalk talkGovern your context layer for AI agents with AWS Context
as Amazon

Learn how to carry your existing data permissions into a governed context layer your AI agents need to work accurately across structured and unstructured data.

Dec 1, 2025AWS re:Invent 2025AWS re:InventbreakoutBuild robust data foundations to power enterprise AI and BI
as Amazon
Discover how organizations build robust and scalable data foundations that power AI agents, automation, and BI analytics at enterprise scale. Join a customer as…Show less

Discover how organizations build robust and scalable data foundations that power AI agents, automation, and BI analytics at enterprise scale. Join a customer as they share how they modernize their analytics environment with Amazon Quick Suite, enabling governed, high-performance insights across their business.

Video
Dec 1, 2025AWS re:Invent 2025AWS re:InventbreakoutDeploy Quick Suite at scale with confidence and control
as Amazon

Learn how enterprise deployment strategies enable Quick Suite scale while maintaining security and operational excellence.

Video
Nov 28, 2022AWS re:Invent 2022AWS re:Inventchalk talkInsightful dashboards through advanced calculations with QuickSight
as Amazon QuickSight
Loading data into various charting types is very rarely the end goal for your users. When they find interesting patterns or trends, they tend to dig deeper into…Show less

Loading data into various charting types is very rarely the end goal for your users. When they find interesting patterns or trends, they tend to dig deeper into their data and use calculations to surface more underlying insights.

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Aaron Sempf3—2026
Aarthi Raju3—2026
Abbas Mooraj3—2026
Abhishek Srivastav3—2026
Adam Hill3—2026
Aditya Pendyala3—2026
Aditya Samant3—2026
Adnan Bilwani3—2026
Ahuva Hazan-Fuchs3—2026
Alex Livingstone3—2026
Alexander Dragunov3—2026
Ali Alemi3—2026
Ali Saidi3—2026
Allyn Henderson3—2026
Ameen Khan S3—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.