Arize AI
Also listed as 1 other name
Arize
Circuit mix
Where Arize AI shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps73%21 events
- Vendor flagships & roadshows8%3 events
- Modern data stack & practitioner6%2 events
- Cloud providers6%2 events
- Software engineering4%2 events
- Python & R data science2%1 event
The year around now
Conferences where Arize AI sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 2 conferences in 2026, down from 3 in 2022.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 2
First sponsored in 2025 or later.
- DASHfirst sponsored 2025, unranked tier
- Google Cloud Nextfirst sponsored 2026, unranked tier
Moved up 1
Best tier rose between the first and latest year with a ranked tier.
- AI Engineer (World's Fair, Summit and regional editions)Gold 2025 → Title 2026
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Toronto Machine Learning Summit (TMLS)last sponsored 2022; the conference ran again in 2023–26
Once or on and off 3
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Data Councilonce, 2022, Bronze
- MLOps World (Machine Learning in Production)2 of 4 years, 2022–25
- ODSC (Open Data Science Conference)2 of 5 years, 2021–25
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Braintrust0.86
- Arcee AI0.83
- Guardrails AI0.79
- LangChain0.78
- OpenHands0.77
- Boundary0.75
- HumanSignal0.75
- turbopuffer0.74
2 Cluster: AI Engineer · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 18 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Neo4j | 10 | 56% |
| Elastic | 9 | 50% |
| 9 | 50% | |
| Microsoft | 9 | 50% |
| Weights & Biases | 9 | 50% |
| Sentry | 8 | 44% |
| Amazon Web Services | 7 | 39% |
| Daytona | 7 | 39% |
| Temporal | 7 | 39% |
| Baseten | 6 | 33% |
| Comet | 6 | 33% |
| Qodo | 6 | 33% |
| Red Hat | 6 | 33% |
| Sourcegraph | 6 | 33% |
| Cloudflare | 5 | 28% |
Neighborhood: companies with nearby conference footprints
Arize AI (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 18
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Presenting Sponsor | Title |
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Platinum | Platinum |
| AI Engineer Singapore 2026 | May 15–17, 2026 | Singapore, Singapore | Platinum | Platinum |
| Google Cloud Next '26 | Apr 22–24, 2026 | Las Vegas, United States | Foundation | Other |
| AI Engineer Europe 2026 | Apr 8–10, 2026 | London, United Kingdom | GOLD SPONSORS | Gold |
| AI Engineer Code Summit 2025 | Nov 19–22, 2025 | New York, United States | Silver Sponsors (meet in Expo!) | Silver |
| ODSC AI West 2025 | Oct 28–30, 2025 | Burlingame, United States | Partner (untiered) | Unlabeled |
| 6th Annual MLOps World | GenAI Summit 2025 | Oct 8–9, 2025 | Austin, United States | Silver Sponsors | Silver |
| AI Engineer Paris 2025 | Sep 23–24, 2025 | Paris, France | Gold Sponsors | Gold |
| DASH 2025 | Jun 10–11, 2025 | New York, United States | Participating Sponsors | Other |
| AI Engineer World's Fair 2025 | Jun 3–5, 2025 | San Francisco, United States | Gold Sponsors | Gold |
| AI Engineer Summit 2025 (New York) | Feb 19–22, 2025 | New York, United States | Supporters | Other |
| AI Engineer World's Fair 2024 | Jun 25–27, 2024 | San Francisco, United States | Supporters | Other |
| 6th Annual TMLS 2022 | Nov 22–30, 2022 | Toronto, Canada | Gold Sponsors | Gold |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Silver Sponsors | Silver |
| Data Council Austin 2022 | Mar 23–24, 2022 | Austin, United States | Bronze | Bronze |
| ODSC West 2021 | Nov 16–18, 2021 | Burlingame, United States | Diversity & Inclusion Partners | Other |
| TMLS 2021 Annual Virtual Conference | Nov 15–18, 2021 | — | Silver Sponsors | Silver |
Speakers 49
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Aparna Dhinakaran | AWS re:Invent 2026 | breakout | You cannot write the eval for a failure you have not seen yet (sponsored by Arize AI) | — |
| Laurie Voss | QCon San Francisco 2026 | speaker | Product Engineering: When code costs nothing, what's next? | — |
| Aparna Dhinakaran | AI Engineer New York 2026 | keynote | What does an AI engineer do? | Video |
| Fuad Ali | AI Engineer New York 2026 | workshop | Agents that Self Improve While You Sleep | — |
| Fuad Ali | AI Engineer New York 2026 | speaker | 2 years of shipping a production agent: what we rebuilt and what we kept | — |
| Laurie Voss | AI Engineer New York 2026 | speaker | The Rise of the Product Engineer | — |
| Laurie Voss | AI Engineer New York 2026 | workshop | Evaluations with Phoenix 101 | — |
| Mikyo King | AI Engineer New York 2026 | speaker | Code Mode: your agent should write code | — |
| SallyAnn DeLucia | AI Engineer New York 2026 | workshop | AI Evaluation 101 | — |
| Sofia Jakovcevic | AI Engineer New York 2026 | speaker | Your agent fix just broke something else | — |
| Xander Song | AI Engineer New York 2026 | workshop | Harbor Intro: Shipping agents on evidence, not vibes | — |
| Dat Ngo | AI Engineer Paris 2026 | speaker | The Harness Is the Product: Engineering Agents Beyond the Happy Path | — |
| Ankur Duggal | AI Engineer World's Fair 2026 | expo session | Let your agent cook: using skills to evaluate and improve your app | Video |
| Aparna Dhinakaran | AI Engineer World's Fair 2026 | keynote | Evals Track Intro | — |
| Dat Ngo | AI Engineer World's Fair 2026 | speaker | Your Agent Is Lying to You About Whether It Worked | — |
| Fuad Ali | AI Engineer World's Fair 2026 | expo session | Building self-learning loops for your agent | Video |
| Fuad Ali | AI Engineer World's Fair 2026 | speaker | Voice Agents Are Mostly Invisible. Here's How to See Them. | — |
| Jason Lopatecki | AI Engineer World's Fair 2026 | expo session | From Signal to PR: Anatomy of a Self-Improving Agent | Video |
| Laurie Voss | AI Engineer World's Fair 2026 | keynote | Evals Track Intro | — |
| Laurie Voss | AI Engineer World's Fair 2026 | speaker | How long can your skills be before your agent forgets what you told it? | — |
| Laurie Voss | AI Engineer World's Fair 2026 | speaker | The Death of the Code Review | Video |
| Laurie Voss | AI Engineer World's Fair 2026 | expo session | From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 | Video |
| Laurie Voss | AI Engineer World's Fair 2026 | expo session | From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 | Video |
| Elizabeth Hutton | Data + AI Summit 2026 | speaker | Agent as a Judge: Scaling AI Evaluation for the Agentic Era | — |
| Rachel Lee Nabors | PyData London 2026 | keynote | Keynote- Rachel Lee Nabors- The Community Is the Boat | — |
| Fuad Ali | AI Engineer Singapore 2026 | speaker | Tracing and Evals with Skills | — |
| SallyAnn DeLucia | AI Engineer Singapore 2026 | speaker | Lessons from building Alyx | — |
| Sean Lee | AI Engineer Singapore 2026 | workshop | Ship Real Agents: Evals, Traces, and the Production Feedback Loop | — |
| Laurie Voss | AI Engineer Miami 2026 | speaker | — | — |
| Laurie Voss | AI Engineer Europe 2026 | workshop | Ship Real Agents: Hands-On Evals for Agentic Applications | Video |
| Sally-Ann Delucia | AI Engineer Europe 2026 | speaker | Hierarchical Memory: Context Management in Agents | Video |
| TBD (Arize) | AI Engineer Europe 2026 | expo session | Live Demo & Q&A with Arize | — |
| Aparna Dhinakaran | AI Engineer Code Summit 2025 | speaker | The Unreasonable Effectiveness of Prompt Learning | Video |
| SallyAnn DeLucia | AI Engineer Code Summit 2025 | speaker | Build a Prompt Learning Loop | Video |
| Aparna Dhinakaran | PyTorch Conference 2025 | keynote | Keynote Panel Discussion: Agentic AI | — |
| Nicholas Luzio | 6th Annual MLOps World | GenAI Summit 2025 | speakers_corner | Building Feedback-Driven Agentic Workflows | — |
| Nicholas Luzio | 6th Annual MLOps World | GenAI Summit 2025 | lightning | Shipping AI That Works | — |
| Aparna Dhinakaran | Data + AI Summit 2025 | speaker | Self-Improving Agents and Agent Evaluation With Arize & Databricks ML Flow | — |
| Aman Khan | AI Engineer World's Fair 2025 | workshop | Shipping AI That Works: An Evaluation Framework for PMs | Video |
| Aparna Dhinkaran | AI Engineer Summit 2025 (New York) | leadership track | Ensure AI Agents Work: Evaluation Frameworks for Scaling Success | Video |
| Aparna Dhinkaran | AI Engineer World's Fair 2024 | speaker | LLM Evals That Work IRL | Video |
| Greg Chase | AI Con USA 2024 | speaker | Troubleshooting and Resolving Common LLM Issues In Production | — |
| Amber Roberts | Data Council Austin 2024 | talk | LLM Observability and Evaluations | — |
| Aman Khan | AI DevWorld 2023 | speaker | Approaches for Measuring Embedding/Vector Drift for Language Models | — |
| Laurie Voss | QCon San Francisco 2022 | speaker | What the Data Says: Emerging Technical Trends in Front-End and How They Affect You | — |
| Laurie Voss | QCon San Francisco 2022 | panelist | Panel: Rethinking Our Relationship with the Frontend | — |
| Aparna Dhinakaran | Ray Summit 2022 | speaker | Ray Summit Meetup Community Talks | — |
| Aman Khan | 3rd Annual MLOps World 2022 | speaker | Becoming An ML Platform Power Builder Powered by ML Observability | — |
| Amber Roberts | 3rd Annual MLOps World 2022 | speaker | The Key Pillars of ML Observability and How to Apply Them to Your ML Systems | — |