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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
As AI moves into production, organizations are under growing pressure to govern the data behind it. Models are trained on petabytes of multimodal data. AI
- John Noonan
Data has long been described as the foundation of AI. That part is not new. What is changing is the role data plays. In a
- Iddo Avneri
Running an ML workflow means you need a way to quickly access massive datasets. Downloading data from cloud storage before each experiment comes with clear
- Yahli Ramberg
Traditional data architectures are starting to show their limitations as organizations move beyond analytics and into production with generative AI and autonomous apps. Fragmented data,
- Idan Novogroder
In 1869, chemistry was a growing field, with a growing problem: 63 known elements and no organizing system that worked. Dmitri Mendeleev solved it by
- John Noonan
