Superhuman scaled its AI productivity platform serving more than 40 million daily users by replacing fragile custom sync infrastructure with Lakebase and Databricks Apps. ML-related data integration projects that previously took nearly three months now take about two weeks, while teams can deploy internal applications in roughly 30 minutes using reusable CI/CD workflows. The shift reduced operational overhead, simplified transactional data flows, and helped teams spend more time shipping customer-facing features instead of maintaining pipelines. Explore their transformation: https://lnkd.in/gwexhVb5
Replacing custom sync infrastructure with Lakebase and Databricks Apps significantly accelerates ML-related data integration, cutting development time and freeing teams to focus on customer features. The 30-minute app deployment workflow is particularly impressive. Elevate your interview prep with ClavePrep: https://clavehr.in/claveprep
Great share Databricks Moving from 3 months to 2 weeks for ML data integration. Reducing pipeline maintenance. Engineers can actually focus on shipping customer values.
Big productivity gains here, especially cutting ML integration work from months to weeks. The shift from maintenance to shipping is the real win.
This is the kind of operational change that makes AI adoption real. The value is not only faster ML delivery. It is reducing the custom infrastructure work that keeps teams stuck maintaining pipelines instead of shipping useful applications. That shift matters for any firm trying to move AI from experiments into production workflows.
Not surprised at all to see sold-out Superhuman sessions at this year's Data and AI Summit! Keep an eye on the session registration pages below for more seats releasing next month 👀 • Running LLaMA at Scale: Production Inference on Databricks Model Servinghttps://lnkd.in/gZUPHc4q• When Redis Isn’t the Answer: Serving Lakehouse Data at Scalehttps://lnkd.in/gPcVzMd4• Tech Industry Session: The High-Velocity Platform for Customer Appshttps://lnkd.in/ggcXkvZd• Sponsored by: Fivetran | Building an AI-Ready Data Foundation at Superhuman with Databricks and Fivetran https://lnkd.in/gqt4DC8c