Traditional data preparation for machine learning (ML) requires manual coding-based processes, which make it difficult to validate the accuracy and structure of the cleansed data. AI/ML Data Preparation Automations solutions on AWS use the latest data visualization and ML techniques to remove the coding-based requirement for Amazon ML services, so a broader set of users can implement a complete ML workflow. This improves data preparation, speed, and accuracy, so data scientists can spend more time on value-driven data science.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

Showing results: 1-6
Total results: 10
  • Publish Date
  • H2O AI Cloud - Fully Managed

    H2O AI Cloud – Fully Managed offers the complete set of H2O AI Cloud’s capabilities in a fully managed environment that handles infrastructure provisioning, scale, security, and software updates. With AWS PrivateLink, customers can create a secure and private connection between their AWS environments and H2O AI Cloud. H2O PrivateLink solution allows our customers to tunnel through their system in a highly secure manner while no traffic goes over the Internet.
  • Alteryx Designer Cloud

    Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide data teams through exploration and transformation.
  • Soda Cloud

    Soda Cloud is the Platform for Data Quality Testing. Soda allows data teams to maintain quality data, 24/7. It alleviates the fear of not knowing, and the pain of finding out too late that a data quality issue has had a downstream impact.
  • Scale GenAI Platform (Hosted)

    Scale GenAI Platform enables enterprises to accelerate their GenAI applications from POCs to deployment. Scale allows enterprises to build a Trust Feedback Loop to scale GenAI applications. Solution is hosted on the customer's AWS tenant.
  • Scale Donovan

    Donovan is a platform built for government organizations to deploy AI and accelerate decision-making. Donovan uncovers insights, and expedites traditional workflows to achieve mission success.
  • H2O.ai Driverless AI

    H2O's Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection, and model deployment. It aims to achieve highest predictive accuracy, comparable to expert data scientists, but in much shorter time thanks to end-to-end automation. Driverless AI also offers automatic visualizations and machine learning interpretability (MLI). Especially in regulated industries, model transparency and explanation are just as important as predictive performance.
1 2
Back to top