Predictive Analytics offers a unique opportunity to identify future trends and allows organizations to act upon them. Data is the “collective experience of an organization” and building predictive analytics that can harness such data to find patterns and correlations is invaluable. These advanced analytics applications are especially impactful in healthcare, high tech manufacturing, and public sector verticals that have to deal with very large data sets and complex decisions. A big challenge, however, is the divide between predictive model building (by data scientists) and predictive model deployment (by IT programmers). The gap between build and deploy tends to become impractically long because of the translation from one paradigm to another at every iteration of a predictive model that can become debilitating for organizations.

The collaboration between KloudData and Zementis aims at bridging the divide between predictive models build and deploy by employing solutions based on the PMML industry standard. This allows customers to reduce complexity, accelerate time-to-insight and quickly realize the true potential of Big Data and Predictive Analytics.

Joydeep Das, COO, KloudData Inc. said, “Advanced analytics applications help companies proactively plan and prepare for business outcomes thereby giving them a competitive edge and higher economic returns. However, KloudData recognizes the practical challenges in building and deploying such complex applications and is partnering with Zementis to address these challenges using PMML standards based solutions like ADAPA and UPPI.”

Dr. Michael Zeller, CEO, Zementis Inc. said,“Machine learning and predictive analytics are emerging as the key differentiator for data-driven organizations. By leveraging our pioneering work with open standards like PMML that is at the heart of our products, KloudData can offer robust predictive analytics applications in healthcare, asset traceability, and other custom applications to its customers. With this partnership, we plan to improve the efficiency of developing and deploying mission critical predictive analytics applications at scale.”

KloudData, in partnership with Zementis, has taken a step forward in unleashing the true potential of Predictive Analytics with a PMML standards based approach towards large scale predictive analytics applications. KloudData’s predictive analytics applications are targeted at high value problems such as healthcare provider (hospital) operational efficiencies, population health management, and asset traceability and utilization in verticals such as, healthcare, high tech manufacturing, and public sector.