Data Conference Databasea Query.Farm index
Speakers

Anastasia Tzeveleka

Employers on the program

  1. 2025–2026Amazon Web Services3 talks
Events2
Conferences1
Talks3
Years active2025–2026

Upcoming appearances

Who’s booked ahead? →

Event dates shown; only events starting today or later count. 1 upcoming event.

  1. AWS re:Invent 2026 – · Las Vegas, United States
    • Your data is your AI advantage: From foundation to business value chalk talk Program source ↗

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
Nov 30, 2026AWS re:Invent 2026AWS re:Inventchalk talkYour data is your AI advantage: From foundation to business value
as Amazon Web Services
Your AI is only as good as the data underneath it. Most teams treat data preparation and model serving as separate problems, then wonder why costs spike and…Show less

Your AI is only as good as the data underneath it. Most teams treat data preparation and model serving as separate problems, then wonder why costs spike and quality drops at scale.

Dec 1, 2025AWS re:Invent 2025AWS re:InventworkshopModel governance at scale with SageMaker AI
as Amazon Web Services

Join us to learn how organizations across industries - from finance to healthcare - are building powerful, specialized AI applications using these techniques.

Dec 1, 2025AWS re:Invent 2025AWS re:Inventbuilders sessionOptimize open weight models for low-latency, cost-effective AI apps [REPEAT]
as Amazon Web Services
Open-weight models deliver exceptional performance while offering customization control. Organizations can process sensitive data locally, deploy models…Show less

Open-weight models deliver exceptional performance while offering customization control. Organizations can process sensitive data locally, deploy models tailored to specific requirements, and scale efficiently at lower latency and cost.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ram Vittal222026
Chakravarthy Nagarajan212026
Jeremy Bartosiewicz212026
Luca Perrozzi212026
Wale Akinfaderin212026
Aakash Deshpande2—2026
Aaron Chen2—2026
Aaron Sempf2—2026
Aarthi Raju2—2026
Aarthi Srinivasan2—2026
Abbas Mooraj2—2026
Abdilmajide Ali2—2026
Abdu Mahmoudi2—2026
Abeetha Bala2—2026
Abhijeet Jangam2—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.