Together with Amazon Web Services (AWS), we have designed a solution for you, based on Amazon SageMaker, that allows you to develop, train and implement machine learning (ML) models in the AWS cloud for almost any use case.
On-prem Machine Learning (ML)-Umgebungen sind komplex, ressourcenhungrig und nicht skalierbar.
Auch können Data-Science-Teams oft nicht mit den stetig steigenden ML-Anforderungen der Geschäftsbereiche mithalten, da sie dafür sorgen müssen, dass die On-prem-ML-Infrastruktur immer betriebsbereit ist. Das bindet Zeit und Ressourcen, die dann für die eigentlichen ML-Projekte nicht mehr zur Verfügung stehen.
Für die Teams ist es oft ein Balanceakt Kosten und Leistung für die On-prem ML-Infrastruktur in einem ausgeglichenen Verhältnis zu halten.
To address the mentioned challenges, data science teams can standardize ML in the AWS cloud while also adopting ML best practices across the enterprise.
ML modernization with Amazon SageMaker helps data science teams move their self-managed on-prem ML infrastructures to the AWS cloud.
Amazon SageMaker provides a comprehensive and deep set of capabilities across the entire ML lifecycle (Prepare | Build | Train & Tune | Deploy | Manage). And it does so with infrastructure fully managed by AWS and services seamlessly integrated so that data science teams can focus 100% on their project work.
High availability at lower costs (pay-per-use – no license costs)
Amazon SageMaker enables access, tagging, and processing of even very large amounts of data, whether structured (such as tabular data), or unstructured (such as photos, video, and audio) for ML use cases.
Integrated ML services for data scientists and no-code interfaces for business analysts enable innovative ML projects to be implemented across departments.
Data science teams can fully focus on use case development and ML projects instead of managing ML infrastructure.
Automation and standardization of MLOps best practices for creating, training, deploying, and managing ML models.
Efficient data backup and storage in the AWS Cloud.
“As a long-time AWS partner, we were able to translate the benefits of the AWS cloud to medium-sized businesses and work with our customers as equals across the entire cloud lifecycle.”
Partner for medium-sized businesses – trusting communication at eye level
Many years of experience – First AWS partner in Germany with more than 50 successful migration projects
Everything from a single source: support for the complete cloud lifecycle
Close collaboration with AWS: Since 2011, we are focused on the AWS cloud
Certified know-how: First certified external AWS trainer in Germany
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+43 720 34 36 11 (AT)
+41 415 41 16 60 (CH)
+49 511 590 95950 (International)
+49 511 59 0 95 590 (Fax)