Software AG Launches new Open Source Library for Standards-based AI, Machine Learning and Predictive Analytics
August 30 2018 - 8:00AM
Business Wire
Software AG (Frankfurt TecDAX: SOW) today announced the
availability of Nyoka, an open source library that enables data
scientists to transform Artificial Intelligence (AI), Predictive
Analytics and Machine Learning models into the Predictive Model
Markup Language (PMML) industry standard. Nyoka is a Python library
that provides comprehensive support for the latest PMML standard as
well as extensions for data preprocessing, script execution and
deep neural networks. Nyoka underscores Software AG’s commitment to
open industry standards and complements its Zementis predictive
analytics for enterprise-grade, operational deployment of AI.
Dr. Michael Zeller, Senior Vice President, AI Strategy &
Innovation, Software AG, said: “To address the challenges that
organizations face with complex AI solutions, frequent model
updates, cross-platform execution as well as data integration,
Software AG emphasizes a vendor neutral approach that provides
users plug-and-play simplicity with a wide range of components.
Nyoka streamlines the work of data scientists, reduces the
complexities of deploying machine learning models, and gives them
more time to focus on creating new models that deliver increased
business value.”
PMML is an XML-based predictive model interchange format and the
leading standard for statistical and data mining models. The Data
Mining Group (DMG), an independent, vendor-led consortium that
develops data mining standards, spearheaded the development of PMML
for nearly twenty years in support of the Data Science
community.
Holger Mueller, VP and Principle Analyst at Constellation
Research, said: “The increasingly complex, multi-vendor IT
environment, coupled with a rapidly growing collection of open
source machine learning packages has multiplied the value of open
industry standards. To truly scale smarter, AI-driven applications
across the organization, it will be imperative to establish
consistent processes that leverage open platforms.”
In its initial release, Nyoka provides a wealth of classes and
functions that are designed to make the data scientist’s life
easier. For example, Nyoka enables developers to create a PMML file
for a Random Forest model from an existing scikit-learn object.
Nyoka comes with an extensive HTML documentation and a growing
number of Jupyter Notebook tutorials which demonstrate how Nyoka
supports the use of PMML as a transport file format for data
science models.
With Zementis, Software AG delivers a common predictive
analytics strategy across the entire IT ecosystem. In supporting
the PMML industry standard, Zementis provides an efficient process
for instant operational deployment of models exported through Nyoka
as well as many other data science tools, thus addressing the
highest execution requirements for batch processing, in-memory
computation and streaming data. Zementis is an integral part of the
Digital Business Platform and is a strategic part of Software AG’s
Cumulocity IoT solution.
Nyoka will be presented for the first time at the Big Data
Conference in Santa Clara, CA, starting today. It is available on
GitHub at https://github.com/nyoka-pmml/nyoka and compatible with
Python version 3.5+.
About Software AG
Software AG (Frankfurt TecDAX: SOW) helps companies with their
digital transformation. With Software AG’s Digital Business
Platform, companies can better interact with their customers and
bring them on new ‘digital’ journeys, promote unique value
propositions, and create new business opportunities. In the
Internet of Things (IoT) market, Software AG enables enterprises to
integrate, connect and manage IoT components as well as analyze
data and predict future events based on Artificial Intelligence
(AI). The Digital Business Platform is built on decades of
uncompromising software development, IT experience and
technological leadership. Software AG has more than 4,500
employees, is active in 70 countries and had revenues of € 879
million in 2017. To learn more, visit www.softwareag.com.
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Software AGLisa Coulouris,
617-413-7062Lisa.Coulouris@softwareag.comorfama PRKatie Leonowitz,
617-986-5028sag@famapr.com