Author

Larry Orimoloye
RSS
Sr Business Solutions Manager

Larry has experience in the design and delivery of analytics solutions in the telecom, technology, oil and gas, pharma, banking and logistics sectors, among others. He has helped clients establish centres of excellence with an analytics remit across the organization, and designed and implemented customer-centric, real-time decision platforms using a combination of statistics, big data and machine learning techniques. Larry holds a master’s degree in applied statistics and data mining from the University of St. Andrews, Scotland.

Advanced Analytics | Data for Good | Internet of Things
Larry Orimoloye 0
Scaling Internet of Things for dementia using particle filters

Dementia describes different brain disorders that trigger a loss of brain function. These conditions are all usually progressive and eventually severe. Alzheimer's disease is the most common type of dementia, affecting 62 percent of those diagnosed. Other types of dementia include; vascular dementia affecting 17 percent of those diagnosed, mixed

Analytics | Customer Intelligence | Machine Learning
Larry Orimoloye 0
How chatbots are changing customer service dynamics in banking

Ever wondered about the volume of calls to banks? It is probably inevitable that banks would turn to chatbots sooner or later. Chatbots offer huge opportunities for banks across three broad dimensions. Efficiency and opportunity The most expensive forms of interaction with customers are the personal ones: face-to-face, and by

Advanced Analytics | Artificial Intelligence | Data Visualization
Larry Orimoloye 0
Processing images for real-time decisioning

Predictive modelling solutions typically rely on the availability of good quality data and subsequent models which are estimated in advance using historical data. For example, a credit scoring framework to predict propensity of customer default requires the use of clean processed transactional and demographic data. Datasets used for this type