STOCKHOLM, SWEDEN - 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.
The AI-NET ANIARA project is an initiative from a consortium of 23 organisations from Sweden, Germany, United Kingdom, Finland and Turkey that will bring together three technologies: 5G, edge-centric computing and artificial intelligence - to accelerate digital transformation in Europe across different sectors connected to 5G edge cloud technology.
‘’Europe has a great position in 5G networks but it has fallen behind in the key areas of digital infrastructure - cloud, big data, and artificial intelligence. There is an increasing need for managed platforms that provide data services to forthcoming AI applications in the new Edge and 5G markets,” comments Dr. Jim Dowling, CEO at Logical Clocks and Associate Professor at KTH Royal Institute of Technology in Sweden.
Coordinated by the world-leading telecommunications company Ericsson, the project received €10M fund from the EUREKA framework to develop automation support for network edge infrastructure and applications. The new infrastructure will employ machine learning to complement or replace conventional manual and proprietary optimisation and prediction algorithms.
To meet infrastructural requirements on performance, security, reliability and scalability, the project will take advantage of Logical Clocks’ Feature Store. Launched in 2018, the Hopsworks Feature Store is the world’s first open-source feature store for machine learning.
“A feature store is a central vault for documented, curated, and access-controlled features. The Hopsworks Feature Store will solve the problem of serving features at low latency to edge applications, reducing the cost of developing and deploying machine learning applications on 5G networks,” states Dowling.
To learn more about the AI-NET ANIARA project, click here.
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About Logical Clocks
Logical Clocks was founded by the team that created and continues to drive Hopsworks, a full-stack data-intensive platform for AI. With offices in Stockholm, London and Palo Alto, Logical Clocks aims to simplify the process of refining data into intelligence at scale.
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.
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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.
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