Bhagvan Kommadi

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2 Iasa August eSummit – Customer Churn Prevention – Beyond The Obvious

by Bhagvan Kommadi The machine learning based algorithm uses various factors like relationship manager,age, preferences and social media postings. The semantic analysis is used for analyzing unstructured data from the social media postings. The structured data analysis uses regression, classification and clustering methods. Click HERE to view the full presentation

Big Data Platform: Improve Your Odds with Predictability

by Bhagvan Kommadi The topic which will be presented by me at the March eSummit (register here) is Big Data Platform: Improve Your Odds With Predictability on Wednesday, March 16, 2016 4 P.M. C.S.T. Big Data platform has discovery and prediction consists of Clustering, Outlier detection and affinity analysis. Clustering is detecting natural groupings. Outlier

Enterprise Messaging Platform

by Bhagvan Kommadi Introduction Messaging Product is envisioned as a messaging platform for communication between consumers. It can be extended to B2C and B2B depending on the context. The messaging platform can be white labelled to be embedded in another product or standalone for specific brands or influencer promotions. The product can be used as

Smart Cities : IoT Cloud

by Bhagvan Kommadi The topic which will be presented by me is Smart Cities Platform : IoT Cloud on Wednesday, February 17, 2016 9 A.M. C.S.T. *Click here to register for the eSummit*   Smart Cities Platform is an effective integration of physical, digital and human systems in the built environment to deliver a sustainable,

Multi-Channel Commerce and Wallet

By Bhagvan Kommadi Multi-Channel Commerce and Wallet targets multiple channels, social networks and devices to access information through events. Events occur in real time and get generated by various applications. Events have to be captured in a database or in memory to be processed and information has to be sent across the application layer