Predictive analytics
Leverage predictive analytics tools to automate the complex, time-consuming, and repetitive tasks involved in machine learning workflows.
Today, organizations are using predictive analytics to solve complex problems and uncover new opportunities. Machine learning tools enable users with limited data science skills to build and deploy explainable models in production, ensuring regulatory compliance. Collaborative capabilities in these predictive analytics tools can help data scientists and business users work with the data to create impactful predictions for successful business outcomes.
Learn how to use time series data to identify patterns that project stock prices and fund values and calculate risk assessments.
Solutions
These solutions available in AWS Marketplace cover various predictive analytics scenarios by using the latest innovations and adding enterprise-grade features.
See how it works: Demo
KNIME Analytics Platform helps any data scientist solve their most complex data puzzles in a reliable and scalable framework.
See how it works: Video
RStudio Connect unlocks R & Python for decision makers and production systems using Jupyter, R Markdown, Shiny, Dash, Streamlit, Flask, and Plumber.
See how it works: Demo
Sumo Logic cloud-native SaaS analytics provides real-time insights that help reduce the time to investigate and resolve security and operation issues.
See how it works: Demo
Resources
Learn about the latest practices on how to analyze data to obtain deeper insights with resources from AWS Marketplace.
Learn how to use third party data to improve customer experiences, advance research, and innovate faster.
Key benefits of using third-party solutions available in AWS Marketplace
Quickly get from data to insights
Allow business users and experienced data analysts to turn data into actionable insights.
Automate data preparation
Prepare, secure, and govern data for data warehouses, analytics, line of business applications, and machine learning.
Database management at massive scale
Build your data lake, data warehouse, or data application and power the analytics needs of your organization.
