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

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A Guide to File Formats in ML; @LogicalClocks Co-Founder @jim_dowling has put toghether this guide to the popular file formats used in open source frameworks for machine learning in Python, including TensorFlow/Keras, PyTorch, Scikit-Learn, and PySpark. https://t.co/IpLslfyPDi

"Feature stores will become more common in 2020 because of their huge value. They allow machine learning teams to share, organize, discover and leverage features for models, increasing reliability, accuracy and efficiency." https://t.co/2SixIu65jg

Coming soon as cloud native...

Have you ever wondered what file format to use in what part of your machine learning pipeline? What is a columnar file format, what is #tfrecords, what is #petastorm? Read here to find out:

https://t.co/ofosOMvZsv