Logical Clocks

Data may be the new oil, but refined data is the fuel for AI

Logical Clocks AB is headquartered in Stockholm, Sweden, formed from members of the Distributed Computing Group at KTH – Royal Institute of Technology and RISE SICS AB. The CEO is Assoc Prof Jim Dowling (ex MySQL AB) and the Chief Scientist is Prof Seif Haridi (Hive Streaming AB co-founder).

The company is bringing hyperscale Data Science to the Enterprise through the familiar lens of a Jupyter/TensorFlow/Conda environment, but with a backend data platform that includes the world’s most scalable filesystem, scale-out compute and GPUs, and streaming analytics.

A logical clock is a mechanism for capturing chronological and causal relationships in a distributed system.

Read more about Logical Clocks here.

Logical Clocks is launching Hopsworks, a data platform for AI

Hopsworks Enterprise is an on-premise data management and data science platform in one. Hopsworks is also a Python-first platform that combines the world’s fastest Hadoop with scale-out deep learning on GPU clusters. Develop, test, and deploy your deep learning models all in a single platform.

Logical Clocks


My jfokus talk on the feature store in @hopshadoop amongst other things is now on youtube: https://t.co/TQkd51q5fn @logicalclocks

Is the Feature Store the missing API between Data Engineering and Data Science? Join us and @jim_dowling, CEO of @logicalclocks, for a #meetup on 3/5: https://t.co/ubaR4pWCJO

Even better than the 8-minutes abs, the 8-minute introduction to a feature store by @KimHammar1 - https://t.co/zQZHpNJZiR