Data Conference Databasea Query.Farm index
Speakers

Cedric Clyburn

Employers on the program

  1. 2025–2026Red Hat5 talks
Events4
Conferences4
Talks5
Years active2025–2026
Miles between events10,0194 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • Arc of AI Conference
  • DataTune
  • FOSDEM
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Jun 5, 2026PyData London 2026PyDatatalkWhat Can LLMs Do with Messy Residential Electrification Data?
as Red Hat
Residential energy models like NREL’s ResStock generate the kind of data most humans run from: thousands of buildings, dozens of columns, and at least 8,760…Show less

Residential energy models like NREL’s ResStock generate the kind of data most humans run from: thousands of buildings, dozens of columns, and at least 8,760 rows per column.

Mar 6, 2026DataTune 2026DataTunetalkStructuring the Unstructured: Advanced Document Parsing for AI Workflows
as Red Hat
Mar 31, 2025Arc of AI 2025Arc of AI ConferencespeakerEverything You Need to Know About Running LLMs Locally
as Red Hat
Feb 1, 2025FOSDEM 2025FOSDEMspeakerBuilding AI Applications from your desktop with Podman AI Lab
as Red Hat
Generative AI is revolutionizing how we build modern applications, but for developers, it can be daunting, particularly with evaluating models, building with…Show less

Generative AI is revolutionizing how we build modern applications, but for developers, it can be daunting, particularly with evaluating models, building with Gen AI, and the path to production. But, it doesn’t have to be worrisome!

SlidesVideo
Feb 1, 2025FOSDEM 2025FOSDEMspeakerSynthetic Data: The Secret Ingredient in Better Language Models
as Red Hat
What’s powering the next generation of AI breakthroughs without relying on massive amounts of human-labeled data? Synthetic data generation has emerged as a…Show less

What’s powering the next generation of AI breakthroughs without relying on massive amounts of human-labeled data? Synthetic data generation has emerged as a transformative approach in enhancing Large Language Models (LLMs).

SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Carol Chen212026
Cheuk Ting Ho2—2026
Mary Grygleski2—2025
Andrew Igdal112026
Legare Kerrison112026
Stevan Le Meur112025

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.