San Diego, CA – February 20, 2015:
After launching its flagship ADAPA® product for predictive analytics on Microsoft’s Azure cloud platform, 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. 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.
ADAPA, certified on Azure, is an extremely fast, standards-based deployment platform and decision engine for predictive analytics. Azure offers enterprise users a powerful collection of integrated services – compute, storage, data, networking, and applications – and is a major cloud platform ranked by Gartner as an industry leader for both infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS).
Dr. Michael Zeller, Chief Executive Officer of Zementis, has observed increasing market interest in cloud-based predictive analytics solutions as businesses have overwhelmingly embraced enterprise-grade public and private cloud solutions over the past several years. “Forward-thinking businesses have long since come to understand the utility of the cloud, and they increasingly see Azure as a critical enabler of not just their IT strategies, but also their overall business strategies,” he said. “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 Azure, these companies also benefit from the full utility of Microsoft’s cloud platform and partner ecosystem. Together, ADAPA and Azure deliver insight, scalability, stability and security.”
ADAPA allows data scientists to retain full flexibility to develop predictive models in whichever data mining tools they choose (commercial or open-source), and then enables data scientists to deploy their predictive models in minutes instead of months. This flexibility and accelerated deployment cycle time gets predictive analytics into the hands of business decision makers quickly, enables scalable predictive capabilities and does so at a fraction of the cost and resources typically required. With Azure, Zementis utilizes the performance, flexibility, scalability, value and security of Microsoft’s cloud, while integrating with Microsoft apps and other business apps in the Azure ecosystem.
“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.”
ADAPA supports multiple data mining vendors for predictive model building, both commercial and open-source. Tools include: IBM SPSS, KNIME, Python, R and SAS. To maximize user flexibility and enable real-time insights, ADAPA supports both batch and real-time scoring. Additionally, ADAPA is based on the premier computing language for predictive analytics, PMML (Predictive Model Markup Language). PMML is an XML-based language that eliminates the need for custom code, and is recognized as a mature industry standard. By combining its proprietary technologies with the PMML standard, Zementis helps remove the complexity of translating and operationalizing predictive models.
To date, Zementis has generated substantial interest in ADAPA for Azure from companies and professional services firms focused on customer analytics, Internet-of-Things analytics (i.e. machine data) and financial analytics.
Zementis, Inc. provides software solutions for predictive analytics. The company was founded on the principle that data science teams and IT departments can collaborate seamlessly and efficiently, allowing predictive models to rapidly move from development to deployment, so that businesses and other data-centric organizations can easily incorporate predictive analytics into their routine operations. Agile deployment of predictive solutions is the cornerstone of the Zementis philosophy.
CIO Review recognized Zementis as one of the “Top 20 most promising Big Data companies in 2013”, and Gartner named Zementis a “Cool Vendor in Data Science” in 2014. Its ADAPA® and Universal PMML Plug-in (UPPI) 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. Customers such as Bosch, FICO, Equifax and Western Union have used Zementis solutions successfully to enhance their predictive analytics capacity and capabilities. For more information, please visit www.zementis.com.