Greg Rokita
Employers on the program
- 2021–2026Edmunds.com2 talks
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.
Appearances by year
- AWS re:Invent
- Data + AI Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | speaker | Beyond the Sandbox: Scaling Autonomous AI Agents with Anthropic and Edmunds as Edmunds.com As enterprises move from AI prototypes to production-grade agents, one challenge dominates: deploying systems that reason deeply over proprietary data, securely…Show lessAs enterprises move from AI prototypes to production-grade agents, one challenge dominates: deploying systems that reason deeply over proprietary data, securely and at scale. This session shows how Anthropic Claude's frontier reasoning, natively integrated into the Databricks Platform with Unity AI Gateway for governance, and the Databricks Lakehouse and Vector Search powering their functional skills, provides the full-stack foundation for domain-specific agents enterprises can trust. We will hear from Edmunds on how they built an agentic digital workforce powered by Claude on Databricks. We'll deep-dive into how a "hunting party" of specialized agents autonomously writes code, opens merge requests, and audits 101 legacy schemas in one afternoon (vs. two weeks manually). Attendees will learn how 40+ composable skills yield exponential capability, how a self-improving flywheel slashed prototype-to-production lead times by 50% and how tasks that once cost $640 in human effort now run for $25 in agentic compute. | |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | The sunset for data warehouses and rise of the data lakehouse (sponsored by Databricks) as Edmunds The data warehouse era is ending. The data lake house has emerged as the new data platform for the cloud by providing one unified platform for both traditional…Show lessThe data warehouse era is ending. The data lake house has emerged as the new data platform for the cloud by providing one unified platform for both traditional analytics and machine learning. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Harish Rajagopalan | 2 | — | 2026 |
| Huey Han | 2 | — | 2026 |
| Ippokratis Pandis | 2 | — | 2026 |
| Jason Pohl | 2 | — | 2026 |
| Mona Chadha | 2 | — | 2026 |
| Nancy Wang | 2 | — | 2026 |
| Rahul Pathak | 2 | — | 2026 |
| Ryan Blue | 2 | — | 2026 |
| Sabha Parameswaran | 2 | — | 2026 |
| Josh Weimer | 1 | 1 | 2026 |
| Franco Patano | 1 | 1 | 2021 |
| Joel Minnick | 1 | 1 | 2021 |
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.