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Machine Learning Modernization with Amazon SageMaker

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.

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Challenges

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.

Our Consulting Services

  • We are happy to support you in all phases of your cloud journey – based on AWS best practices and proven ML tools such as Amazon SageMaker.
  • A structured approach and a clear AWS cloud strategy are essential for the success of ML modernization.
  • And to accelerate ML modernization, companies should rely on experienced professionals like AWS and tecRacer right from the start.

AWS and tecRacer – OUR SOLUTION YOU CAN RELY ON

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.

YOUR BENEFITS FROM OUR SOLUTION

Affordable

High availability at lower costs (pay-per-use – no license costs)

Scalable

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.

Innovation

Integrated ML services for data scientists and no-code interfaces for business analysts enable innovative ML projects to be implemented across departments.

FOCUS ON CORE COMPETENCIES

Data science teams can fully focus on use case development and ML projects instead of managing ML infrastructure.

HIGH LEVEL OF AUTOMATION

Automation and standardization of MLOps best practices for creating, training, deploying, and managing ML models.

Secure

Efficient data backup and storage in the AWS Cloud.

AWS and tecRacer invest together in your individual Proof of Concept (POC). Learn more in our Packaged Offer “ML Modernization with Amazon SageMaker”

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“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.”

Matthias Jansky, Managing Director, tecRacer Project Management GmbH

Why is tecRacer the right partner for your business?

  • 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

Contact

0800 5909500 - DE (free)

  • +43 720 34 36 11 (AT)

  • +41 415 41 16 60 (CH)

  • +49 511 590 95950 (International)

Locations

Duisburg
Bismarckstraße 142
47057 Duisburg
Frankfurt am Main
Hamburger Allee 45
60486 Frankfurt am Main
Hamburg
Ballindamm 7
20095 Hamburg
Hanover
Vahrenwalder Str. 156
30165 Hannover
Munich
c/o Unicorn Workspaces
Rosenheimer Strasse 116
81669 München
Lisbon (PT)
Armazém 114
Rocha Conde d’Óbidos
1350-352 Lisboa
Portugal
Lucerne (CH)
Hirschengraben 33
6003 Luzern
Switzerland
Vienna (AT)
Ungargasse 37
1030 Wien
Austria

Links & Info

Working at tecRacer

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