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 readKubernetes Transforming Banks
Migrating to the cloud becomes easier.
5 min readHackathons Fueling Banking Innovation
Smarter idea generation in banking.
4 min readCapitalizing AI for Safer Banking
How banks are achieving smarter fraud detection using AI.
5 min readGuidelines for Experience Design Success in Financial Services
Moving from a product-centric to a customer-centric approach allows financial services companies to create compelling customer experiences, services and products.
3 min readUsing IoT Data To Drive Personalized Financial Services
Collect data using IoT to drive data-driven insights in financial services.
2 min readBlockchain in Finance: How Far We’ve Come
Take an in-depth look at how blockchain is transforming financial services
6 min readCommon Misconceptions in Finserv Security
Thinking about implementing a new security posture? Make sure your bases are covered.
2 min read