Data Conference Databasea Query.Farm index
Speakers

Barzan Mozafari

Employers on the program

  1. 2023–2027University of Washington2 talks
  2. 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.

Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • ACM SIGMOD/PODS (International Conference on Management of Data)
  • CIDR (Conference on Innovative Data Systems Research)
  • Data + AI Summit
  • Snowflake Summit

Talks

DateEventConferenceRoleTitleLinks
Jan 24, 2027CIDR 2027CIDR (Conference on Innovative Data Systems Research)paperBEGIN AI TRANSACTION: Semantic Isolation for Durable AI Workflows
as University of Michigan
Jun 15, 2026Data + AI Summit 2026Data + AI SummitspeakerSponsored 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 less

Databricks 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, 2025Snowflake Summit 2025Snowflake SummitspeakerImproving 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 less

Snowflake 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, 2025Snowflake Summit 2025Snowflake SummitspeakerScaling 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 less

Okta 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, 2023SIGMOD/PODS 2023ACM SIGMOD/PODS (International Conference on Management of Data)industry paperMaking Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning
as University of Michigan

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Mohit Saxena2—2027
Abhishek Narang2—2026
Barr Moses2—2026
Christopher Marcolis2—2026
Colin Zima2—2026
Deepak Khosla2—2026
Ian Whitestone2—2026
John Kutay2—2026
Juan Sequeda2—2026
Kenten Danas2—2026
Kyle Weller2—2026
Mike Johnson2—2026
Prukalpa Sankar2—2026
Satish Hegde2—2026
Sean Falconer2—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.