Client · A Pharmacy Benefits Manager · There are about 4 billion prescriptions written is US alone every year. · FBI estimates, potentially, up to about 10% of the transactions can be classified as FWA Challenge:· FWA detection · Current process is manual, can only find known fraud signatures
Kavi Global:Bringing Modern IIoT Capabilities To B2B Companies
The Technology Headlines Dtd. June 2018
An interview with our Founder & CEO, Vijitha Kaduwela, where he speaks about how Kavi Global provides major data analytics lifecycle management services with the agility of a small firm.
Our Founder & CEO, gets identified as one of the 20 most inspiring CEOs to watch in 2018, by the Insights Success Magazine.
Fiducial Marker Tracking Using Machine Vision
A Session by Saurabh Ghanekhar, Kavi Global, at the Spark+AI Summit, SFO, June 2018
Advanced machine vision is increasingly being used to investigate, diagnose, and identify potential remedies and their progressions for complex health issues. In this study, a behavioral neuroscientist at the University of Chicago and his colleagues have collaborated with Kavi Global to characterize 3D feeding behavior and its potential changes caused
Pharmacy Claims Fraud Detection Using Apache Spark
A Session by Giridharan Gurumuurthy, Kavi Global, at the Spark+AI Summit, SFO, JUNE 2018
Up to 10% of the pharmacy claims submitted to health plans and insurance companies are estimated to be fraudulent. A two-step process comprising of a combination of unsupervised and supervised learning techniques can be used to effectively identify the Fraud, Waste and Abuse in the Pharmacy industry. Claims submitted by
Saurabh is a Senior Analytics Consultant in the R&D Team at Kavi Global. He is currently involved in the development of big data and analytics platforms that leverage the data processing and machine learning capabilities of Spark. He has worked in several industry verticals like Healthcare, Manufacturing, Transportation, and Logistics.