Stockholm, Sweden, Nov. 25, 2020 - Logical Clocks, the Swedish company behind the world’s first Enterprise Feature Store for Machine Learning, today announces that Mikael Ronström joins the company as Head of Data. This is a new role supporting the company’s expansion as an independent, fully end-to-end machine learning service provider.
Mikael is the inventor and lead developer of NDB Cluster, an open-source distributed database underlying the MySQL Cluster platform. Prior to joining Logical Clocks, Mikael had an instrumental role in the development of both MySQL Cluster and the MySQL Server platforms. MySQL was founded in Sweden and it is currently owned by the Oracle Corporation.
“Mikael is a world-renowned database expert whose PhD began the journey of NDB Cluster - first at Ericsson, then to MySQL, and Oracle, where it now powers many of the world’s most challenging real-time and high availability applications. Having Mikael in our team is a strategic move to make us fully independent, developing all the services in the Hopsworks platform, enabling us to provide an unified data platform for our customers,” said Jim Dowling, CEO at Logical Clocks.
NDB is the key technology underpinning Logical Clocks’ Hopsworks platform, including the HopsFS file system and Hopsworks Feature Store. Logical Clocks enables users to easily install and operate NDB as a managed cloud platform as part of the Hopsworks infrastructure. NDB Cluster has established a reputation for being a highly available database with low latency and high throughput, accessible as open source for over 20 years.
“Logical Clocks is poised for tremendous growth and I am thrilled to join the team that has already built a strong platform with NDB as its core foundation. I look forward to working closely with customers and continuing driving inspired solutions at Logical Clocks that will help enterprises solve some of the most challenging problems of today that require integration of large datasets, real time data processing, and machine learning” said Mikael.
As Mikael takes command of Logical Clocks’s global data business, he will expand team support for customer demand of Hopsworks. Hopsworks is the only currently available cloud-native Enterprise Feature Store and it also includes a Data Science platform for developing and operating machine learning models in production.
For more information on Hopsworks: www.hopsworks.ai
About Logical Clocks Logical Clocks is the data company that builds Hopsworks, the world’s first Enterprise Feature Store for Machine Learning. With offices in Stockholm, London and Palo Alto, Logical Clocks has set out to make machine learning easy for every company, providing tools for data scientists and engineers to manage features and develop/deploy models in production. For more information, access www.logicalclocks.com or follow @LogicalClocks on Twitter.
The company that launched Hopsworks, the world’s first open-source Feature Store for AI, raises a €5M Series A investment led by the Nordic VC Industrifonden with the participation of Inventure. Hopsworks has already attracted industry leading organizations including PaddyPower-Betfair, Getinge, and Swedbank.
Logical Clocks announces three new research projects part of the European Union (EU) Horizon 2020 research and innovation programme that will benefit from Hopsworks artificial intelligence (AI) capabilities to scale deep learning and enhance research focused on understanding environmental changes and improving healthcare in Europe. Hopsworks is the world’s first and most advanced managed Feature Store with an end-to-end AI platform for the development and operation of AI applications at scale.
Mikael Ronström joins Logical Clocks as Head of Data. Mikael Ronström is the inventor and lead developer of NDB Cluster, an open-source distributed database underlying the MySQL Cluster platform.
Logical Clocks, the data company behind the world’s first Enterprise Feature Store for Machine Learning, today announced full support for Microsoft Azure on its cloud managed data platform, Hopsworks. The announcement complements the existing support for Amazon Web Service (AWS), thus enterprises can now manage features for training and serving models at scale on Hopsworks while maintaining control of their data inside their organisation’s accounts on the most popular cloud platforms.
Logical Clocks introduces a new machine learning technique to train models for fraud detection using deep learning and Generative Adversarial Networks (GANs). The technique, available on Hopsworks, the world’s first data platform with a Feature Store, helped Swedbank, the oldest and largest bank in Sweden, reduce costs associated with fighting fraud.
Logical Clocks announced it is developing the first enterprise Feature Store for Edge Computing for the AI-NET ANIARA project, part of the CELTIC-NEXT programme, to bring artificial intelligence to 5G networks in Europe. To meet infrastructural requirements on performance, security, reliability and scalability, the project will take advantage of Logical Clocks’ Feature Store.
Logical Clocks, the enterprise behind Hopsworks - the first data platform for designing and operating machine learning and artificial intelligence (AI) applications at scale with a Feature Store - announces the launch of Hopsworks.ai, the world’s first managed cloud platform for AI with a feature store.
On September 5th, 2019, Logical Clocks won the European DatSci award for “Data Science Technology Innovation of the Year”. Hopsworks is a data-intensive platform for data science and AI, that includes the first Enterprise Feature Store for Machine Learning.
Hopsworks 0.10 brings the latest features, improvements and bug fixes. It is the biggest release done so far, made up of 191 JIRAs including many new features. Also, this version marks the last of the 0.x series, as Hopsworks is gearing up towards its 1.x series starting with 1.0 end of Q3 2019.
Hopsworks 0.9.0 brings the latest features, improvements and bug fixes. It introduces Apache Airflow as-a-service which means users can now create their own workflows from within their familiar environment of a Hopsworks project. You can get started with Airflow in Hopsworks by visiting the user-guide.
Announcing the release of the first Enterprise Feature Store for Machine Learning. The Feature Store solves the problem of ad-hoc and siloed machine learning pipelines, where features, the training data for such pipelines, tend to become disorganized, disjointed, and duplicated, leading to correctness problems and redundant work.
Hopsworks 0.8.0 brings the latest features, improvements and bug fixes. It comes a short while after version 0.7.0 and brings the world’s first open-source feature store, a revamped REST API for managing jobs in Hopsworks and improvements in visualization for python notebooks.