Wolfram Jost, chief technology officer, Software AG says Zementis ADAPA (Adaptive Decision and Predictive Analytics) has been embedded into the Apama Streaming Analytics platform to offer enterprises a comprehensive ‘one stop shop’ for business insight and analytics.
Jost says Zementis ADAPA is an extremely fast, standards-based deployment platform and scoring engine for predictive analytics, and uses algorithms that discover patterns in Big Data that might predict similar outcomes in the future.
“The ability to predict what is likely to happen next is essential to satisfying customers, improving operations, and beating the competition.
According to Jost, unique to Zementis ADAPA is its PMML (Predictive Model Markup Language) deployment and run-time engine and he says that due to the rich support for this emerging data mining industry standard, predictive models created with all leading commercial and open source data mining tools can be utilised for real-time scoring.
Michael Zeller, chief executive officer, Zementis says the demand for predictive analytics is exploding. “The reality is that businesses employing predictive analytics will be in a better position to support their customers than those without predictive analytics. It’s a tremendous competitive edge.”
“Too many companies struggle with how to translate their Big Data into actionable insight. By adopting high-performance, Big Data predictive analytics, businesses can leverage a treasure trove of information that enables them to optimise business performance or carve out a differentiating niche in an increasingly competitive landscape through programs such as personalisation marketing.”
According to Zeller, new technologies such as in-memory processing, streaming analytics, cloud computing, Internet of Things and Big Data, coupled with faster and cheaper computing platforms and sensors, are all contributing to making predictive analytics more easily attainable to help enterprises modernise their analytics capabilities.