For engineers and technical leaders building AI and data solutions.
Data Phoenix is a media platform and community for engineers and technical leaders building AI and data solutions. Its coverage explores architecture, engineering decisions, production challenges and lessons learned from the teams building these solutions. Technical talks, interviews and practical articles draw on what teams tried, what failed and what they learned. Industry news helps readers follow important developments in AI and data. Conversations with founders cover finding customers, building teams and turning technology into a business.
I started Data Phoenix as a weekly digest of AI and data news and articles. It grew into a media outlet with its own events. Now it's a live platform: shows, broadcasts, and in-person events.
There are a lot of newsletters and outlets now, and most stop at the news. We came from there and kept going, into technical substance. Tech Talks, running now: engineering deep dives with the people who shipped it. Demo Stage, running now: live demos of AI and data tools, with the people building them. DPTV Highlights, running now: the best of the week on DPTV, in one hour. Open Mic, running now: short interviews with the teams behind the booths, recorded on the conference floor. Research Talks, launching early 2027: the research behind the headlines, explained by the authors.
This is for engineers who want depth, not headlines, and for builders who'd rather show their tool than pitch it.
This is a community-driven platform, and it works best built together. If you want in, get in touch.
- Dmytro Spodarets, Founder & Editor-in-Chief, Data Phoenix
A community built on substance.
- 110,000+AI & data professionals
- 100+Events organized
- 4Live shows
- 30+Streams from events in the San Francisco Bay Area
More than a decade of steadily building one thing.
GeeksLab, Odesa
Under GeeksLab, Dmytro Spodarets grew Ukraine's AI and data community and ran some of the country's largest AI and data conferences.
DataScience Digest
DataScience Digest carried that community into writing, covering AI and data science research and practice.
Data Phoenix founded
Dmytro founded Data Phoenix as a continuation of DataScience Digest, and the first issue of the upgraded digest went out on July 1, 2021.
Move to the Bay Area
The San Francisco Bay Area became Dmytro's home next.
Data Phoenix Events begin
Data Phoenix Events began as webinars and in-person events in the San Francisco Bay Area. Speakers included Google DeepMind, NVIDIA, AWS, HPE, Qdrant, UC Berkeley, Spotify, CodeRabbit, and others.
Press coverage begins
Dmytro began covering the industry as press at conferences and expos in the Bay Area and beyond, including TechCrunch Disrupt, CES, the PyTorch Conference, Ray Summit, and the AI Infra Summit, recording interviews along the way. Data Phoenix also stepped up support for local AI communities across San Francisco.
AIC media production
At AIC, the AI Collective, Dmytro became head of media production, recording video and running streams there. That work gave rise to Data Phoenix's own streaming and video production.
A new platform
Data Phoenix launched the new version of the site and the platform on September 18, 2026, alongside 110,000+ AI & data professionals and 200+ practitioners on the speaker roster. Tech Talks, Demo Stage, DPTV Highlights, and Open Mic are live now; Research Talks arrives early 2027.
Three principles, applied to everything.
- Practitioner-first
Every talk, every article, every demo is for the people who write the code and run the systems. If a piece won't change how someone ships, it doesn't run.
- Earned, not bought
Speakers are picked on technical merit. Sponsors fund the production but don't get stage time. Coverage is editorial, not sponsored.
- Earnest, not cynical
We cover the field with the assumption that the people building it are doing serious work. Snark and hot-takes don't live here.
A small team, AI agents, and a community.
Data Phoenix is founded and run by Dmytro Spodarets, with 78 AI agents and community contributors. The team stays small on purpose. The agents and the community are how it covers this much ground anyway.
Ways to get involved
- Come on a show
Tech Talks for engineers and ML practitioners; Demo Stage for engineers and technical leaders exploring AI and data tools; DPTV Highlights for AI and data professionals; Open Mic for startups and companies exhibiting at AI conferences; or Research Talks for researchers and applied scientists.
- Write for us
Technical articles and analysis for the site.
- Help run events
In the San Francisco Bay Area.
- Submit an event
To the AI & Data Events Calendar.
- Suggest a speaker, a tool, or a paper
Worth covering on the platform.
- Send a correction
When we get something wrong.
Want to build something with us?
Show sponsorship, co-produced webinars, in-person events, or your own branded show. Six formats to reach 110,000+ AI professionals.
One platform. Live shows. 110,000+ practitioners.