The partnership taps into the EPCC supercomputing center at the University of Edinburgh. Paywizard will work with the data science team at EPCC to develop more advanced predictive models, and to develop Paywizard's AI-driven capabilities.
Bhavesh Vaghela, Paywizard's chief executive, said: "There are many operators that are just at the beginning of their analytics journey. They understand that harnessing subscriber data can provide real valuable insight into their customers, but don't have the expertise or the adequate infrastructure to deploy business models that can utilize this data effectively. Working with the talented and specialist data team at Edinburgh means we are able to develop our existing AI capabilities even further than ever before, and more importantly, means we can kick-start an operator's approach to harnessing this customer data, allowing them to derive valuable and actionable insights from the get-go."
As part of the partnership, EPCC's data science specialists will work to enhance the existing machine learning capabilities within Paywizard's subscriber intelligence platform and continue to develop predictive models and automated processes.
Rob Baxter, Group Manager at EPCC, said: "EPCC has a long history of working with companies to enable them to benefit from advances in digital technology. Through the practical application of data science, our collaboration with Paywizard will result in better services for its customers and so directly increase the company's competitive edge."
The initial project will involve a team of data scientists working alongside Paywizard's internal business intelligence team to deliver the new functionalities, with Paywizard looking to expand its internal team with University of Edinburgh graduates.