Drive Highly Personalized Consumer Finance Investment Recommendations with AI and ML
SoftServe's Investment Product Recommendation Engine (IPRE) reference pattern uses machine learning and data analytics to balance individual investor risk preferences with investment product expected returns to provide personalized investment recommendations.
3 min read11 Steps to Increased Profits through Process Improvement and Re-Engineering
Increase business efficiency and generate better results in the profit and loss (P&L) statement with our tried-and-tested approach.
6 min readThe Why, What, and How of Chatbots in Insurance and Banking
We offer an overview of chatbot solutions, their impact on the insurance and banking industries, and consumer reactions to these transformations.
5 min readWhy the Wealth Management Industry Needs Transformation
SoftServe empowers leading financial services providers with business transformation, advisory, and innovation at scale.
5 min readHow To Combat Trade-based Money Laundering
Trade-based money laundering (TBLM) became one of the major challenges to governments and intergovernmental bodies over the last 20 years.
4 min readCapitalizing on Cloud for Banks
How banks can beat the cloud ache.
4 min readConnecting Data to Improve Financial Services
The future of financial services relies on applying data capturing, data analysis, and data ingestion to a centralized system.
3 min readKubernetes Transforming Banks
Migrating to the cloud becomes easier.
5 min readHackathons befeuern Bankinnovationen
Smartere Ideengenerierung im Banking.
4 min readKI-Kapitalisierung für sichereres Banking
So erkennen Banken klüger Betrug.
5 min read