# Zementis 10.5

**URL:** <https://community.cumulocity.com/t/zementis-10-5/2517>\
**Category:** News\
**Tags:** analytics, cumulocity\
**Created:** [October 14, 2019, 9:00pm UTC](https://community.cumulocity.com/t/zementis-10-5/2517 "2019-10-14T21:00:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Community-admin](https://dub1.discourse-cdn.com/flex005/user_avatar/community.cumulocity.com/community-admin/32/23712_2.png) [@Community-admin](https://community.cumulocity.com/u/Community-admin)\
**Post date:** [October 14, 2019, 9:00pm UTC](https://community.cumulocity.com/t/zementis-10-5/2517/1 "2019-10-14T21:00:00Z")

</div>

Zementis is a decision engine for operational deployment, management and execution of AI and Machine Learning models. Zementis comes in three major flavors and is available as a stand-alone platform in the cloud and on-prem, as a microservice application in Cumulocity IoT and as a plugin component on top of various Hadoop-based data storage platforms and stream processing engines.

The Predictive Analytics microservice in Cumulocity IoT now comes with:

- Codeless device data and ML model interface mapping
- Scheduling of batch prediction jobs
- Zementis engine in all flavors now offers:
  - Enhanced support for Time Series Models
    - Support for Seasonal ARIMA forecasting

  - Enhanced support for CNN architectures like MobileNet, VGGNet, ResNet and RetinaNet.
    - Support for Object Localization along with object detection

  - Compliance with latest release of PMML 4.4 including:
    - Support for Lag expressions with aggregate functions
    - Support for Anomaly Detection Models

Open Source releases:

- [pmml and pmmlTransformations](https://github.com/Cumulocity-IoT/r-pmml) R packages now available on GitHub
- first release of the [cumulocityr](https://softwareag.github.io/cumulocityr/) R package for extracting data from Cumulocity’s database
- 4.0 release of [Nyoka](https://github.com/nyoka-pmml/nyoka) and updated documentation ([Redirecting to https://softwareag.github.io/nyoka/](https://nyoka-pmml.github.io/nyoka/))

Release Notes are available at:

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