Mary Keenan
Employers on the program
- 2026Afresh Technologies1 talk
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
- Data + AI Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | speaker | From Fresh Data to Big Impact: Afresh and Lakebase Fuel Retail Innovation as Afresh Technologies In grocery retail, every hour on the shelf raises spoilage and margin risk. Afresh combats this with data-driven inventory insights delivered directly to fresh…Show lessIn grocery retail, every hour on the shelf raises spoilage and margin risk. Afresh combats this with data-driven inventory insights delivered directly to fresh department order writers. But running these workloads on standard PostgreSQL caused contention, table locks, ETL failures and heavy maintenance, limiting innovation. This session details how Afresh migrated its mission-critical Postgres instance to Databricks Lakebase—a fully managed, serverless PostgreSQL engine natively integrated with the Databricks Lakehouse. Using Lakebase’s separation of storage and compute, Afresh eliminated locking and scaling bottlenecks. By orchestrating DBSQL http_request pipelines in dbt, Afresh replaced custom sync frameworks with automated, bidirectional data flows, cutting overhead and boosting reliability. Attendees will learn: - How to migrate from self‑managed OLTP to serverless Lakebase - Performance and reliability strategies - Ways streamlined architecture drives efficiency and innovation |
Frequent co-speakers
No one else spoke at two or more of the same events.
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.