Barzan Mozafari
Employers on the program
- 2023–2027University of Washington2 talks
- 2025–2026Keebo3 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
- ACM SIGMOD/PODS (International Conference on Management of Data)
- CIDR (Conference on Innovative Data Systems Research)
- Data + AI Summit
- Snowflake Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jan 24, 2027 | CIDR 2027 | CIDR (Conference on Innovative Data Systems Research) | paper | BEGIN AI TRANSACTION: Semantic Isolation for Durable AI Workflows as University of Michigan | |
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | speaker | Sponsored by: Keebo | Teach Your Warehouse to Drive Itself: Cutting Costs with Reinforcement Learning on Databricks SQL as Keebo Databricks SQL has transformed how teams interact with their data, delivering fast query performance, seamless scalability and lakehouse architecture that…Show lessDatabricks SQL has transformed how teams interact with their data, delivering fast query performance, seamless scalability and lakehouse architecture that brings together the best of data warehousing and data engineering. It’s an incredibly powerful platform, but getting the most out of it requires constant attention to cost and performance. Warehouse workloads are dynamic. Query demands shift around the clock, teams grow and what was perfectly tuned last week may be wasteful or underperforming today. Maximizing efficiency on Databricks SQL is not a one-time task. It’s an ongoing challenge. That’s where Keebo comes in. In this session, we’ll show how Keebo uses reinforcement learning to learn your unique workload patterns and continuously optimize your Databricks SQL warehouses in real time, maximizing performance while reducing costs. No manual tuning. No trade-offs. Just a warehouse that gets smarter over time. | |
| Jun 2, 2025 | Snowflake Summit 2025 | Snowflake Summit | speaker | Improving Your Snowflake Investment via Generative AI and Reinforcement Learning as Keebo Snowflake has transformed data storage and analysis, but as usage scales, teams struggle with performance, cost and efficiency. This talk explores how…Show lessSnowflake has transformed data storage and analysis, but as usage scales, teams struggle with performance, cost and efficiency. This talk explores how generative AI and reinforcement learning (RL) enhance Snowflake by automating warehouse optimization, improving observability and refining query performance. LLM-powered query rewriting reduces compute costs while making data more accessible. RL-driven systems dynamically scale resources, optimize queries and minimize waste. AI-driven observability provides deep insights to detect inefficiencies. Attendees will learn AI strategies to boost performance, visibility and value while reducing costs. | |
| Jun 2, 2025 | Snowflake Summit 2025 | Snowflake Summit | speaker | Scaling Smart: How Okta and Komodo Health Use AI to Optimize Snowflake as Keebo Okta and Komodo Health operate in vastly different industries — identity and access management vs. healthcare intelligence — but both rely on Snowflake to…Show lessOkta and Komodo Health operate in vastly different industries — identity and access management vs. healthcare intelligence — but both rely on Snowflake to deliver secure, high-performance and cost-efficient data at scale. In this session, leaders from both organizations share how they use AI-powered automation to optimize workloads, reduce spend and improve governance. Whether you’re managing real-time access or sensitive health data, you’ll gain practical strategies to boost performance, cut costs and improve data accessibility — without compromising security. | |
| Jun 18, 2023 | SIGMOD/PODS 2023 | ACM SIGMOD/PODS (International Conference on Management of Data) | industry paper | Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning as University of Michigan |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Mohit Saxena | 2 | — | 2027 |
| Abhishek Narang | 2 | — | 2026 |
| Barr Moses | 2 | — | 2026 |
| Christopher Marcolis | 2 | — | 2026 |
| Colin Zima | 2 | — | 2026 |
| Deepak Khosla | 2 | — | 2026 |
| Ian Whitestone | 2 | — | 2026 |
| John Kutay | 2 | — | 2026 |
| Juan Sequeda | 2 | — | 2026 |
| Kenten Danas | 2 | — | 2026 |
| Kyle Weller | 2 | — | 2026 |
| Mike Johnson | 2 | — | 2026 |
| Prukalpa Sankar | 2 | — | 2026 |
| Satish Hegde | 2 | — | 2026 |
| Sean Falconer | 2 | — | 2026 |
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.