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AI-ready data is often dismissed as another layer of hype on top of practices we already understand, like data quality. That assumption misses a real
- Einat Orr, PhD, Tal Sofer
Introduction Mount is a lakeFS feature that lets you access lakeFS data with regular filesystem operations. Oz Katz, our CTO, covered the bigger picture of
- Yahli Ramberg, Ariel Shaqed (Scolnicov)
Perhaps you’ve experience something like this before? It’s the week before a model risk review. A credit model has been in production since March, and
- Tal Sofer
How Amazon FSx for NetApp ONTAP and lakeFS give file-centric organizations a practical path to governed AI and data engineering workflows The missing layer above
- Iddo Avneri
Starting with lakeFS v1.87.0, the lakeFS open source project (the lakeFS Community edition) moves from Apache 2.0 to the Business Source License (BSL). Every release
- Einat Orr, PhD, Oz Katz
How lakeFS, Attimis OneBucket, and Seagate Exos bring together data control, global access, and on-prem infrastructure to deliver trusted, distributed, AI-ready data. Enterprise AI doesn’t
- Iddo Avneri, Shayne Stubbs
AI agents are now taking action across company data. They run queries, manipulate datasets, write code, and make changes autonomously. At some point, they reach
- Tal Sofer
We are excited to share that lakeFS is named in the “Coolest Vendor Innovations in Data Management” report from Gartner, published on July 29. The
- Gottfried Sehringer
As organizations incorporate multimodal data like images, video, music, documents, sensor data, and embeddings into increasingly complex AI systems, traditional data management techniques quickly become
- Anna Seliverstov
A Frozen Model Is Not a Frozen System Talk to enough robotics teams and you hear the same line: “We’re using off-the-shelf models, so tracking
- Vince Antinozzi
Branching your database is the start. Branch your whole data ecosystem. Databricks published a good post recently about Lakebase, walking through how Glaspoort, a fiber
- Oz Katz
Building AI that works once is relatively easy. Building AI you can trust every time is a discipline. That’s the central lesson CNH – one
- Gottfried Sehringer
