Monday, July 27, 2015

Zementis Announces Predictive Analytics Integrated with IBM z Systems for Insight-driven Business Processes

Quote from Ross Mauri 
Zementis, Inc. and IBM Corporation (NYSE: IBM) today announced a joint strategic initiative and corresponding technology solution, “Zementis for IBM z Systems”, designed for companies seeking to optimize business decisions and formulate those decisions faster. The solution seeks to unlock the full potential of an organization’s data assets by integrating predictive analytics capabilities directly into transactional data flows that drive business processes. 
The joint offering combines Zementis’ solution for high-speed development, deployment and operation of predictive analytics models with IBM z Systems, a family of next-generation mainframe computing platforms that help organizations reinvent enterprise IT to become digital businesses. Zementis for IBM z Systems enhances IBM’s capabilities by integrating predictive analytics directly into core business processes, delivering timely predictive insights directly to the point of maximum business impact.

Monday, July 20, 2015

Zementis: Big Data Insights through “True” Analytics

Scoring for Everyone and Everything 

In the past, the three constituents in the “making sense of data for the future” pool (data scientists, IT professionals and business users) have suffered from a lack of collaboration, inefficiencies in communication, and ineffectiveness at uncovering valuable insights for their enterprises.

Zementis presents a solution to help enterprises to bridge the gap between these three groups, or even better, to align them to create better insights for their enterprises. At the center of this effort is the portability of analytical models. Zementis has been a fervent supporter of PMML (Predictive Mode Mark-up Language) on its products. That is the leading analytical model portability standard.

This vendor profile provides an overview of Zementis and identifies key differentiators, product offerings, and a short list guide for buyers. 

Tuesday, June 23, 2015

Software AG and Zementis Announce Partnership and Integrated Solution for Predictive Analytics

Software AG, a leading global provider of software and IT services, today announced a business and technology partnership with Zementis, as part of Software AG’s strategy and market offerings for big data predictive analytics.
Software AG and Zementis share a common philosophy and vision for the potential of advanced predictive analytics, and have therefore decided to forge a formal partnership based on this mutual understanding. The relationship is both a technology integration and a collaborative business partnership.
As part of this effort, Software AG has embedded Zementis ADAPA, a standards-based deployment and scoring engine for predictive analytics, within the Software AG Apama Streaming Analytics platform. The two companies will also collaborate on technical solution development, business development and technology enablement for their customers worldwide, spanning multiple industry segments and use cases. The companies will focus initially on use cases related to:
  • Internet-of-Things
  • Banking and Insurance
  • Retail
  • Manufacturing
The announcement is part of Software AG’s effort to enrich and expand its Digital Business Platform – a service-oriented development environment with numerous high-level, cloud-capable application services.
The integrated solution is available now.
To read the Software AG press release, click here.
To read a related post on the Software AG corporate blog, click here.

Wednesday, March 11, 2015

Zementis and Cognizant Partner to Bring Advanced Analytics to Cognizant Clients

On March 10, Cognizant Technology Solutions and Zementis signed a formal partnership agreement, launching a collaborative relationship that will bring advanced analytics solutions that include Zementis technologies to Cognizant’s clients.
cognizant-technology_200x200The collaborative relationship will focus on integrating Zementis’ predictive analytics technologies with the advanced analytics capabilities of Cognizant Analytics, developing business solutions based on advanced analytics for Cognizant clients, and jointly enabling those solutions to deliver client success. The partnership is both a technology alliance and a channel (go-to-market) arrangement, and has global scope. Zementis and Cognizant Analytics will collaborate with each other and with Cognizant’s market-facing business segments to jointly serve Cognizant clients. Initial efforts will focus on two industry verticals: Banking & Financial Services and Life Sciences & Healthcare. Over time, the industry focus will expand to encompass Cognizant’s other industry solution groups: Insurance, Communications, Media & Technology and Products & Resources.
The partnership will encompass Zementis’ entire product portfolio, including its two core solutions, ADAPA® and UPPI, as well as multiple platform-specific variants. Cognizant clients will be able to deploy these solutions on-premise or in the cloud, with access via an intuitive Web-based console, via one of multiple industry-leading analytics platforms or as a simplified Hadoop interface.
For more information, read the press release.

Thursday, February 19, 2015

ADAPA for Azure: Enthusiasm in the Market, Excitement at Microsoft

In October of last year, Zementis was proud to announce that our flagship product ADAPA® had been certified for Microsoft’s Azure cloud platform. Well, we’re still proud of that accomplishment, and we’re even prouder to see strong interest in the market and enthusiastic support from Microsoft!

Since launching ADAPA on Azure, Zementis has observed a particularly high level of interest from existing and prospective customers, as well as from other key market players active in big data analytics. Companies, government entities and other types of organizations that rely on predictive analytics to give them accurate insights into future outcomes are clearly understanding the value of the Azure cloud, and also of using Zementis ADAPA to power their predictive analytics activities in the cloud.

Microsoft’s Azure leadership team is also weighing in on the value of ADAPA for Azure. 

Kim Akers
Kim Akers
General Manager, Microsoft
“Microsoft is excited to welcome Zementis into the Azure community,” said Kim Akers, General Manager at Microsoft. “Zementis ADAPA on Azure enables users to develop and deploy predictive analytics models quickly, and then utilize the resulting predictive data in a variety of ways, both within the Azure ecosystem and beyond.”

Based on initial customer and market response, Zementis believes that ADAPA for Microsoft Azure will generate strong customer demand throughout 2015, laying the groundwork for further significant growth in 2016 and beyond. 

“Companies that employ predictive analytics to inform their business decisions can benefit from ADAPA to significantly accelerate data-driven predictive insights, and by using ADAPA on Microsoft Azure, these companies also benefit from the full utility of Microsoft’s cloud platform and partner ecosystem,” says Dr. Michael Zeller, Chief Executive Officer of Zementis. “Together, ADAPA and Azure deliver insight, scalability, stability and security.”

For more information, please visit:

Tuesday, December 30, 2014

Scoring data with ADAPA using Pentaho Data Integration

Predictive model integration for MySQL, Microsoft SQL Server, Oracle and PostgreSQL

The main use of predictive models is to generate predictions for new data. This data frequently resides in databases like MySQL, and the ADAPA scoring engine needs a way to easily access it. One way of accomplishing this is by using the Pentaho Data Integration (PDI) tool, and in this post we outline how to score data from relational databases using the ADAPA REST API and PDI.

PDI provides an easy to use point-and-click interface to manage the whole workflow: retrieving the data, scoring it through ADAPA, and saving the results elsewhere. It is possible to use PDI to read and write to different databases, including MySQL, Microsoft SQL Server, Oracle, PostgreSQL, and others. PDI can also act as a client to the ADAPA Scoring Engine by leveraging the ADAPA REST API, and take care of transforming the data into necessary formats - JSON and URL in this case.

Prior to starting, we assume that:
  • PDI is installed
  • Data to be scored is stored in either MySQL, Microsoft SQL Server, Oracle or PostgreSQL
  • A PMML model for the data is deployed and available through the ADAPA REST API.

The process is built and executed in PDI. The transformation should consist of the following steps:
  • Retrieve data from the database
  • Transform to a JSON object
  • Convert the JSON object to a URL as a method to transmit it
  • Send URL to ADAPA through REST API
  • Capture ADAPA output
  • Write the scoring result back to a flat file

For detailed step-by-step instructions using a neural network model deployed in ADAPA, please review the following videos:

Monday, December 29, 2014

Using MySQL as a Client to the ADAPA Scoring Engine

Predictive analytics scoring with MySQL and ADAPA

In this blog post, we outline how to use a MySQL database as a client to the ADAPA Scoring Engine by leveraging the ADAPA REST API to execute a predictive analytics model based on the Predictive Model Markup Language (PMML) industry standard.

We assume that:
  • MySQL and cURL are installed
  • Necessary MySQL tables are already created
  • A PMML model for the data is deployed and available through the ADAPA
One option to make API calls from MySQL is by using the MySQL-UDF-HTTP package, which enables creation of user defined functions for HTTP REST Operations in a database. This package is available on Google Code and will be installed on top of MySQL. We can leverage the User Defined Functions (UDFs) created with this package to make REST API calls to ADAPA from MySQL. Specifically, we use HTTP GET requests to the ADAPA engine to score one record at a time. An advantage of using these functions is that we can easily write the scores back to the database.

In addition, the scoring process can be automated with database triggers. Triggers automatically execute database queries when specified events occur. In this case, we can write functions to score and update or insert records, and set triggers to execute these functions on update and insert events. The HTTP UDF is called by the scoring function to send a GET request to the ADAPA REST API.

Simply using SQL and UDFs, the above enables us to easily execute complex predictive analytics models directly from one of the most commonly used databases, score the records, and write the results back into a database table.

A step-by-step tutorial, including installing MySQL-UDF-HTTP and writing functions and triggers, is available in this video.

Tuesday, December 23, 2014

451 Research Initiates Coverage of Zementis

2014 has been a busy year of growth for Zementis, as our customers, business partners and employees have noticed. Industry analysts have also noticed, with two leading research firms initiating coverage of Zementis in 2014. In May, Gartner included Zementis on its short list of “Cool Vendors in Data Science”, and just this week, 451 Research published its first report on Zementis.

451 Research is well known in the technology sector as a highly respected research and advisory company, and is especially noted for its coverage of emerging technologies and the companies that bring these technologies to market. Within the Enterprise Software sector, Krishna Roy leads 451’s analytical efforts in the realm of business applications and software infrastructure, including big data analytics and predictive analytics. She has a longstanding background in technology journalism, and covers the big data analytics segment extensively. 451’s subscribers will find an amazing number of insightful reports on big data and predictive analytics that bear her byline.

The universe of companies in her analytical portfolio numbers more than 100, affording her a fantastic vantage point from which to study the technologies and market dynamics that shape the competitive landscape and define the market’s evolutionary trajectory. This breadth of coverage also makes her schedule extremely full. Zementis is honored that she has chosen to devote some of her scarce time to studying our company and imparting her perspectives and insights.

To access the report, click on the link below:

Impact Report - December 22, 2014

Wednesday, November 12, 2014

IBM and Zementis Release White Paper: "Enhancing Predictive Analytics"

Continuing their longstanding partnership, Zementis and IBM recently released a white paper that details how organizations can improve their business agility through predictive analytics. The paper describes some of the key benefits that organizations can derive from applying predictive analytics to key decisions, outlines some of the operational and technical challenges that organizations commonly face in this effort, and showcases the capabilities that IBM and Zementis make possible to unlock the full potential of big data through predictive analytics.

Together, Zementis and IBM help enterprises overcome many challenges associated with their big data efforts, simplifying and accelerating the deployment of predictive models and making possible large-scale analytics that once seemed impractical to execute.

Zementis' UPPITM solution is integrated with several of IBM's flagship big data analytics platforms, including IBM PureDataTM System for Analytics, powered by Netezza® technology, and IBM InfoSphere® BigInsightsTM software. In each case, the joint IBM/Zementis solution helps companies deploy, execute and integrate scalable, standards-based predictive analytics. UPPI extends the in-database and Hadoop-based predictive analytics capabilities of these IBM platforms through the use of Hive, a data warehouse system for Hadoop.

The white paper describes the benefits of Zementis' open standards approach to predictive analytics, as well as the technical capabilities of the joint solutions with IBM and the tangible benefits that organizations can realize by making IBM and Zementis a foundational element of their big data analytics strategy and architecture.

Highlights of the joint solution include:
  • Enables near real-time predictive model deployment through a universal, flexible approach
  • Reduces cost and complexity of deploying and utilizing predictive analytics for big data
  • Delivers standards-based execution of predictive analytics for in-database scoring
  • Accelerates time-to-market for enhancing intelligent decision making via predictive data
  • Supports highly dynamic and complex data environments with massively parallel processing
  • Extends the analytics functionality and business value of robust IBM platforms
Download the white paper

Thursday, November 6, 2014

Microsoft and Zementis Announce ADAPA for Azure

On October 28, Microsoft and Zementis unveiled the culmination of a collaborative effort that had begun many months before. Zementis' real-time predictive analytics decision engine, ADAPA®, became officially certified on Azure - Microsoft's dynamic and innovative cloud platform.

Microsoft Azure offers enterprise users a powerful collection of integrated services - compute, storage, data, networking, and applications - and is the only major cloud platform ranked by Gartner as an industry leader for both infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS).

With ADAPA on Azure, organizations can develop predictive models using most open source and commercial data mining tools and deploy machine learning models rapidly to generate predictive insights in real-time. New and existing Zementis customers can now take advantage of the "pay per use" model with Azure to reduce infrastructure costs and total cost of ownership.

Microsoft's Azure Marketplace makes it easy to find, purchase and launch ADAPA. Configuration is easy, and organizations can be up and running quickly with predictive analytics that leverage the efficiency, scalability, security and performance of Microsoft's enterprise-grade cloud environment.
"With a focus on rapid deployment and integration of predictive algorithms through open standards, Zementis embraces the cloud," said Garth Fort, General Manager of Enterprise Partners, Microsoft. "ADAPA allows customers to take advantage of the compute resources in Azure to support predictive analytics solutions and quickly scale capacity as computing requirements change, paying only for the resources used."

To purchase and deploy ADAPA from the Azure Marketplace today, please visit Microsoft Azure

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