KNIME at AWS re:Invent Helping Machine Learning Builders

Amazon Web Services re:Invent is taking place on November 26 -30, 2018 in Las Vegas, NV and KNIME will be there! This conference offers machine learning “Builder Sessions” and an “AWS Marketplace Machine Learning Hub” including KNIME Software. The goal of these hands-on sessions is to provide attendees expert guidance on machine learning building and data science automation for predictive quality management, predicting risk, and predicting excess stock inventory models.

NEW: KNIME Publishes ML Models in AWS Marketplace for Machine Learning

The new AWS Marketplace for Machine Learning lists KNIME workflow models ready to deploy to Amazon SageMaker. The KNIME models provide AWS Marketplace customers self-service, on-demand deployment for faster execution. KNIME workflow models are deployed as Docker containers for automated Amazon SageMaker delivery.

The KNIME workflow models available in the AWS Marketplace for Machine Learning are:

  • Simple Income Predictor. Use this KNIME workflow to accept personal attributes and applies them using a prebuilt classification model. It returns a prediction of income range including probability of correctness.
  • Simple Chemistry Binding Predictor. This KNIME workflow predicts the binding of a chemical compound to the 5HT6 receptor on CHEMBL Ki data.
  • Basic Credit Score Predictor. If you want to determine creditworthiness, this KNIME workflow executes a classification model that returns the predicated creditworthiness and a probability score.
  • Basic Churn Predictor. This KNIME workflow reads in information about a customer and predicts whether or not the customer is predicted to churn and the probability of the predication.

Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

AWS, KNIME, and other solutions in the AWS Marketplace, as well as AWS Consulting Partners help accelerate data experimentation, deeper insights, and new levels of productivity with Machine Learning solutions.

More on this topic is also available in this AWS blog post.

New trial offers

To help machine learning builders and data scientists get started fast, KNIME has a new free trial-and-subscribe offering in the flexible and on-demand AWS Marketplace. It’s called KNIME Server Small for AWS. Customers can trial open source KNIME Analytics Platform and KNIME Server Small products via the AWS Marketplace to continue developing machine learning models and building their data science platform expertise. KNIME Software complements many Amazon AWS services such as SageMaker, RedShift, Athena, EMR, Kinesis, and Comprehend as integrated services to provide enterprises with data science automation for accelerating great decision making quickly, securely, and at scale.

By launching these new offerings, we aim to provide KNIME on AWS customers self service control over their data science, machine learning, and AI pipelines, drive expertise and technology reuse, and facilitate interactions among data scientists, developers, and the business units they serve. The KNIME Software’s graphical workflow editing and development tools - covering data prep and mining, ETL, machine learning, deep learning, and deployment, in combination with native integrations and extensions such as Tensorflow, Keras,, Tableau, Spark, Hadoop, Python, R, REST, and many others, bring an agile and open approach to data science pipelines to help drive intelligent decision making across the enterprise. KNIME on AWS covers a diverse set of use cases from drug discovery to call center efficiency, automotive benchmarking, customer journey orchestration, and many more.

Visit KNIME at AWS re:Invent and check out how KNIME is being used in the Machine Learning Builder Sessions. We’ll also be in The Quad running KNIME Software demonstrations.

Get started today by using KNIME on AWS through the AWS Marketplace and leverage one of our hundreds of example workflows, workflows/models available from partners via KNIME Workflow Hub, or build your own using our own guided workflow assistant. Trial KNIME Server Small or KNIME Analytics Platform on AWS free for thirty days.


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