AI Data Security, Semantic Search & Lightning Talks

​Join us on Thursday, October 1 for the next Austin Elastic User Group meetup: Lightning Talks Edition! ⚡️

​This meetup is all about short, fast-paced talks and big ideas.

We’ll hear from members of the local Elastic and broader tech community on what they’re building, experimenting with, and learning along the way.

Expect an evening of technical conversations, fresh perspectives, pizza, refreshments, and plenty of time to connect with the Austin Elastic community.

⚡️ Interested in giving a talk? ⚡️
Have something cool to share? We’d love to hear it.

Lightning talks are short, informal, and a great way to share a project, use case, technical lesson, demo, or idea with the community. No hour-long presentation required.

Interested in presenting? Email [email protected] with your idea.

Date and Time:
Thursday, October 1st, from 5:30–8:00 PM CDT

Location:
Elastic Austin Office: 8th Floor
823 Congress Ave
Austin, TX 78701

Parking:
Parking options nearby include several garages or street parking in nearby blocks. Check out SpotHero to reserve a parking spot in advance!

Arrival Instructions:
When you arrive at the office, head to the 8th floor.

The main entrance to the building is on 9th Street, between Congress Ave and Brazos St.

Agenda:

5:30 pm: Doors open
6:00 pm: Building an AI & Data Security Governance Platform with Elasticsearch (Dan Tecuci - Concentric)
6:20 pm: Two Lists, No Words in Common (Firus Hanov - Hanov Consulting)
6:40 pm: Lighting talk 3
7:00 pm: Lightning talk 4
7:15-8:00 pm: Networking

Talk Abstracts:
Building an AI & Data Security Governance Platform with Elasticsearch (Dan Tecuci - Concentric)
Dan will share how Concentric is building an AI and data security governance platform and how Elasticsearch powers indexing, search, and reporting across the platform.

Two Lists, No Words in Common (Firus Hanov - Hanov Consulting)
Sales teams often validate leads against external sources like non-payer blacklists, sanctions lists, and tender registries, but traditional keyword searches fail when the same company or product appears under different names. In this lightning talk, Firus will share how he built Deadstock using Apify, Elasticsearch, and Claude to match records by meaning rather than exact wording.