ZEMENTIS Predictive Analytics

GRATIS-TESTVERSION:

Free Trial
Zementis Predictive Analytics
Probieren Sie Zementis Predictive Analytics kostenlos aus

DEMO:

Video
So profitieren Sie von Zementis
Video ansehen

WIE KÖNNEN WIR IHNEN HELFEN?

Email
Wir sind jederzeit für sie da
Kontaktieren sie uns
SAG_Zementis_KD_1_small

KI FÜR CLEVERE UNTERNEHMENSANWENDUNGEN

Sorgen Sie dafür, dass alle Entscheidungen in Ihrem Unternehmen auf belastbaren Erkenntnissen basieren. Nutzen Sie künstliche Intelligenz (KI), Maschinenlernen und Open-Standards-Prognosemodelle. Mit Zementis Predictive Analytics können Sie aus Daten, wie umfangreich diese auch sein mögen, jederzeit und überall Erkenntnisse ableiten, die informierte Entscheidungen erlauben. Sie können:

  • Prognosemodelle schnell bereitstellen, ausführen und verwalten und erhalten sofort handlungsrelevante Einblicke
  • Daten in Echtzeit- oder im Batch-Mode prüfen
  • Ein gemeinsames operatives Framework für alle IT-Plattformen aufbauen

Erweitern Sie die Sicht auf Ihre Daten, und nutzen Sie Big Data, Echtzeitdaten, periodisch auftretende Datenspitzen und andere Datenquellen, oder führen Sie für Big-Data-Anwendungen ein paralleles Scoring durch. Für die Open-Standards-Software Zementis ist keine Umgebung zu dynamisch und keine Datenmenge zu groß.

So funktioniert Zementis
SAG_Zementis_KD_2_small

ERKENNTNISSE FÜR ALLE

Mit Zementis erhält Ihr Unternehmen ein einheitliches Werkzeug für Predictive Analytics. Die Software ist intuitiv, benutzerfreundlich und öffnet Predictive Analytics auch für Mitarbeiter außerhalb des Data-Science-Teams. So hat jeder die Chance, in Echtzeit das Kundenverhalten zu untersuchen, Marktbewegungen zu verstehen, Sicherheitsrisiken zu bewerten usw.

Anwendungsbeispiele:

  • Finanzinstitute – Betrugserkennung und Risikoabschätzung, Verarbeitung von Online-Transaktionen und hochentwickeltes Entscheidungsmanagement
  • Internet der Dinge – Verarbeitung von Sensor- und Gerätedaten, Biometrik und IP-Netzwerk-Sicherheit
  • Vertrieb und Marketing – Upselling/Cross-Selling, Kampagnenoptimierung und Next-Best-Offer

Dank unserer webbasierten Konsole kann sich jeder schnell die Informationen holen, die er braucht, um im Ernstfall sofort zu reagieren.

Factsheet lesen
SAG_Zementis_KD_3_small

WARUM OFFENE STANDARDS WICHTIG SIND

Zementis Predictive Analytics basiert auf offenen Standards, damit eine möglichst große Community ihre innovativen Ideen einbringen kann: Datenwissenschaftler, Statistiker, IT-Experten und andere, die sich damit befassen quantitative Verfahren auf Entscheidungsprozesse in der Wirtschaft zu übertragen. Darüber hinaus unterstützen offene Standards den Austausch von Prognosemodellen zwischen unterschiedlichen Anwendungen und Anbietern und ermöglichen die einfache Erweiterung Ihrer Data-Mining-Funktionen und Prognosemodelle.

Der Import und die Einführung von Prognosemodellen basiert auf dem Standard „Predictive Model Markup Language (PMML)“. Zementis ist integrierbar mit relationalen Datenbank-Systemen und kann auf Hadoop® in Verbindung mit Hive™, Spark™ oder Storm™ nativ implementiert werden. Außerdem können Sie schnell und kosteneffektiv vorausschauende Analysen für IBM® z Systems® und transaktionale Mainframe-Anwendungen wie COBOL, CICS®, Adabas und Natural durchführen.

Mehr dazu in unserem Whitepaper

What you can do with Zementis

Quickly deploy, execute and integrate AI

Zementis Predictive Analytics is your platform for the agile deployment, integration and execution of predictive analytics. You gain a fast, scalable and secure way to deploy machine learning, AI and predictive models—ideal for organizations that rely on data to drive informed business decisions.

Score data in real time and batch mode

Zementis automates real-time and batch scoring for a wide range of predictive models and simplifies model deployment and IT system integration. Big data processing and streaming analytics are faster and cost efficient.

Scale your machine learning capabilities

Scale AI and machine learning capabilities across your business and operate effectively in complex, data-rich ecosystems, thanks to a robust architecture. Leverage huge data sets, real-time data, intermittent “bursts” of data and other data sources.

Establish a common framework across platforms

Based on open standards, Zementis facilitates interoperability of predictive models across different applications and vendors, helping you expand both your data science capacity and machine learning capabilities.

Key benefits

Overall
  • Accelerate time-to-market for intelligent decision making via AI, machine learning and predictive analytics
  • Reduce cost and complexity of operationalizing predictive models for big data
  • Easily adopt machine learning for real-time streaming analytics
  • Ensure scalability and reliability of machine learning model execution via uniform deployment platform
  • Ideal for highly dynamic and complex data environments
Benefits for data scientists
  • Exchange predictive models between different applications and vendors
  • Use any leading commercial and open-source data mining tool
  • Implement a wide range of machine learning and predictive algorithms
  • More readily incorporate artificial intelligence into ongoing business operations
  • Increase team productivity
Benefits for IT professionals
  • Simplify and accelerate the deployment of predictive models within the broader organization
  • Efficiently use your IT architecture by optimizing computational performance, capital expense and operating expense
  • Deploy machine learning capabilities in a vendor-neutral, cross-platform way
  • Integrate seamlessly with existing enterprise software and business processes
Benefits for business leaders
  • Rely on a common platform to make smarter decisions more ef
  • Extend AI, machine learning and predictive use cases throughout your organization
  • Make faster, more accurate and consistent business decisions
  • Scale predictive analytics capabilities with the growth of your business
  • Enhance accountability for data-driven decisions

Capabilities

PMML support Zementis Predictive Analytics delivers a common predictive analytics strategy across the entire IT ecosystem. Fully supporting the Predictive Model Markup Language (PMML) industry standard for data mining applications, Zementis cements an efficient process for instant operational deployment, addressing the highest execution requirements for batch processing, in-memory computation and streaming data.
High-performance scoring

Count on a wide range of AI, machine learning and statistical algorithms for high-performance scoring, including:

  • Association rules
  • Decision trees for classification and regression
  • Neural network models: Back-propagation, radial-basis function and deep learning
  • Support vector machines for regression, binary and multi-class classification
  • Linear and logistic regression (binary and multinomial)
  • Naïve Bayes classifiers
  • General and generalized linear models
  • Cox regression models
  • Rule set models (flat decision trees)
  • Restricted Boltzmann machines
  • Clustering models: Distribution-based, center-cased and two-step clustering
  • Scorecards (including support for reason codes and point allocation for categorical, continuous and complex attributes)

Multiple Models: Model composition, segmentation, chaining, cascading and ensemble, including Random Forest Models and Boosted Trees

Support for data pre- and post-processing

Zementis Predictive Analytics also implements the definition of a data dictionary, missing, outlier and invalid values handling, and myriad other functions for implementing data pre- and post-processing functions, including:

  • Value mapping
  • Discretization
  • Normalization
  • Scaling
  • Logical and arithmetic operators
  • Conditional logic (IF-THEN-ELSE)
  • Built-in functions
  • Lookup tables
  • Business decisions and thresholds
  • JSON™
  • User-defined custom functions

Business needs

Increased speed, accuracy and consistency of business decisions Customer insight becomes real-time customer insight. AI, machine learning and predictive models deliver results based on more data points, increasing accuracy of business decisions. To become more agile in making smarter, data-driven business decisions, organizations must leverage the power of AI.
Scalability with business growth As the business grows, Zementis Predictive Analytics provides a cost-effective expansion path for your IT environment of choice. Rely on an enterprise-grade platform to integrate additional machine learning models, leverage more complex algorithms, and scale execution to millions of transactions without compromising agility.
Enhanced accountability for data-driven decisions Zementis is an enterprise-grade platform for managing complex machine learning and predictive models. That minimizes the need for custom code to ensure agility while reducing the risk for incorrect results. By using Zementis, you can minimize the movement of data across disparate systems to improve performance while enhancing data security.

Data mining platforms

Deep learning Deep learning is, without doubt, the hottest topic in machine learning and data science. It has fueled our imagination on what AI can achieve in the near future, from self-driving cars to personal digital assistants, medical diagnosis and robotics.
IBM SPSS® Zementis is complimentary to IBM SPSS Modeler and Statistics and extends your modeling environment into the IT operational domain. It is compatible with Modeler and Statistics through PMML, the de facto standard for representing predictive models.
KNIME® Once a model is exported from KNIME as a PMML file, that model can be directly deployed in Zementis Predictive Analytics for real-time or batch scoring.
Python® Since Zementis Predictive Analytics is compatible with PMML, scikit-learn users benefit by gaining both extreme speed and extreme agility across the predictive model lifecycle.
R From model development and testing to deployment and ongoing operation in a production environment, Zementis delivers more efficient data science to R users.
SAP A model built in any of the SAP data mining tools and saved as a PMML file, can be deployed directly in Zementis Predictive Analytics for real-time or batch scoring.
SAS® Zementis is compatible with SAS due to its use of PMML, the Predictive Model Markup Language.
TIBCO® Statistica™ Zementis is complimentary to Statistica Modeler and Statistics, and it extends your modeling environment into the IT operational domain.

SAP® is the registered trademark of SAP AG in Germany and in several other countries.

SAG_Zementis_Customer_Quote_Image

DAS SAGEN UNSERE KUNDEN

Equifax ist überzeugt von Zementis

"Zementis Predictive Analytics erleichtert unseren Kunden die Implementierung, Prüfung, Integration und Ausführung von Prognosemodellen und ermöglicht Kosteneinsparungen, das wiederum steigert ihre Profitabilität.”

James Reid | Senior VP, Core Software Engineering, Equifax

WEITERE KUNDEN

boschboschFiservNGDATAklouddata
Support loginSupport login