In a world where there are no absolute security guarantees, any organization could potentially become a victim of fraud. And non-profit companies, too - because data sometimes takes on even more weight than pure money. The more companies come up with protection methods, the more scammers come up with ways to outwit them in return. This is like running in a vicious circle, and … [Read more...] about How Machine Learning for Fraud Detection Works in Different Industries
Financial Services
AI Proves to Be a Tremendous Disruptive Technology for Fintech
Fintech is the newest development of the financial industry. It is the integration of technology in finance. Many factors have played a crucial role in the evolution of fintech, but artificial intelligence is arguably the most significant. How is AI Transforming theFintech Industry? There's no doubt that technological breakthroughs have played a key role in the growth of the … [Read more...] about AI Proves to Be a Tremendous Disruptive Technology for Fintech
Digital Customer Experience Forum
Customers want to access payment industries in the most convenient way and as such, the digital customer experience should give a long-lasting impression in wooing them. This improves brand loyalty, repeat purchases and invariably increases profitability base. Although digital customer experience cannot be dealt with, without making reference to digital interfaces, … [Read more...] about Digital Customer Experience Forum
9th Edition Risk Data Aggregation and Risk Reporting
This marcus evans conference shows banks how to move towards becoming data-centric by improving their risk data aggregation and risk reporting capabilities. Delegates will discover how to optimise their data architecture and transition away from legacy systems to support data lineage and the use of analytics and machine learning. The conference will also display case studies on … [Read more...] about 9th Edition Risk Data Aggregation and Risk Reporting
Making Automation More Efficient by Learning from Historical Trade Data
Automation has often been hailed the future of the workplace, with new studies indicating that by the end of 2020 over 1 million knowledge-work jobs will be replaced by software robotics, RPA, virtual agents and chatbots, and machine-learning-based decision management. Many are also of the opinion that automation is the future of recruitment, the automotive industry, as well as … [Read more...] about Making Automation More Efficient by Learning from Historical Trade Data