Cognilytics leverages its Decision Analyzer platform and industryspecific applications to solve key business problems
Cognilytics’ Decision Analyzer is a platform for executing predictive models on high-performance computational environments such as Hadoop, SAP HANA, and SGI UV. The platform provides pre-packaged industry-specific problem solutions for several industries including financial services, cyber and physical security, retail, healthcare, and manufacturing. For example, in the financial services space, the platform is able to address key credit risk predictions that are used to fulfill regulatory requirements for portfolio stress testing.
Cognilytics maintains a strong competency within the predictive analytics space built on sophisticated statistical, Neural Networks, Dynamic Bayesian Networks, Artificial Intelligence, and Machine Learning methodologies. Cognilytics leverages cutting edge machine learning algorithms including “Deep Learning” to solve problems such as anomaly detection, signal detection, and change-point identification.
Cognilytics also offers end-to end “Data To Decisions” consulting services including enterprise information management, visualization, data warehousing, in-memory computing and predictive analytics to deliver comprehensive Big Data and Advanced Analytics solutions to customers. Cognilytics utilizes its core offerings to help clients find key insights and trends within their data, thereby enabling better business decision making, driving top line revenue, bottom-line uplift, operational excellence, risk mitigation, and regulatory compliance.
The products and services provided by Cognilytics will continue to help their customers make the journey from descriptive to predictive to prescriptive analytics, thereby enhancing their ability to drive significant value from Big Data. “We are excited about strengthening our role as the Big Data partner ofchoice for our customers through the combination of our products, business knowledge, strong data and decision science capabilities, and deep technology expertise,” concludes Gauba.