Zementis is the easiest way to deploy your analytic model to a production system and run it on your entire data set. Your model can be built in Python, SAS, R, Knime or any other tool from a long list of tools that can export to PMML (Predictive Model Markup Language). Zementis will automatically convert your model into a runtime environment like Hadoop or a Java application server.
- Accelerates time-to-market for enhancing intelligent decision making via predictive data - Reduces cost and complexity of predictive analytics for big data - Ensures scalability and reliability of model execution via uniform deployment platform - Supports highly dynamic and complex data environments - Enables the exchange of predictive models and solutions between different applications and vendors - Consumes model files conforming to multiple versions of PMML - Supports all of the leading commercial and open-source data mining tools - Supports a wide range of predictive modeling techniques - Helps organizations more readily incorporate predictive analytics into ongoing business operations - Includes a model validation test, allowing the user to verify that the model has been deployed correctly - Efficiently utilizes IT architecture, optimizing computational performance, capital expense and operating expense - Integrates seamlessly with existing enterprise software and business processe - Provides technical and economic benefits of cloud architecture
ADAPA = “Adaptive Decision and Predictive Analytics”
Scoring engine (decision engine) for predictive analytics - Uses predictive models to score data - Delivers precise insights into customer behavior, market dynamics, security risks and sensor information - Facilitates informed decision making based on quantitative logic and insights Standards-based platform for deploying predictive analytics throughout the organization - Employs the Predictive Model Markup Language (PMML) standard to import and deploy predictive models - Allows data science teams to rapidly transform analytical models into operational tools for business users - Allows organizations to rapidly deploy, execute and manage predictive models that enable real-time insights and actions for the business Intuitive tool that simplifies the user experience - Offers a simple, intuitive and dynamic user interface in the form of a Web-based console - Centralizes predictive analytics activities for users - Allows user to score data either by single record or across multiple records (multiple-record processing support enables batch-mode or on-demand)
UPPI = “Universal PMML Plug-in”
ADAPA functionality packaged as a plug-in tool for industry-leading analytics and data warehouse platforms Flexible, standards-based platform for deploying predictive analytics throughout the organization at scale - Employs the Predictive Model Markup Language (PMML) standard to import and deploy predictive models - Integrates with analytics applications that the organization already utilizes (in-database or Hadoop-based) - Enhances the analytics processing capabilities of incumbent analytics applications with scoring of standards-based predictive models - Enables rapid processing of large data sets via architecture that supports massively parallel computing Intuitive tool that simplifies the user experience - For in-database analytics applications: embeds predictive analytics functionality directly in the database, minimizing the movement of data to accelerate processing of very large data sets - For Hadoop/Hive environments: makes PMML-based models available as standard user-defined functions (UDFs) for Hive, allowing users to rapidly consume and manage analytics queries - For Hadoop environments (via Datameer): provides familiar wizard-style and spreadsheet drop-down user interfaces, to process large sets of structured and unstructured data and generate actionable outputs
Zementis was recognized by CIO Review as one of the "Top 20 most promising Big Data companies in 2013" and named "Cool Vendor in Data Science" by Gartner in 2014. Its ADAPA® and Universal PMML Plug-in scoring engines are designed from the ground up to benefit from open standards and to significantly shorten the time-to-market for predictive analytics in any industry.
MidLink represents Zementis in Israel.
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