Improving Probabilistic Fraud Risk Analysis with ML
With the rise of more sophisticated fraud tactics, it’s become even more essential for businesses to find better ways to predict fraud risk.
Topic: From Our Experts
Top articles from our RTInsights Experts
Quality of Life Through Infrastructure
One of the best ways to increase acceptance and usage of smart city technologies is to emphasize how it removes friction from our
4 Digital Transformation Pitfalls and How to Avoid Them
The major of digital transformations fail because they are not done wisely. Successful change runs deeper than just the adoption of new technologies.
Low-Code Platforms: App Versatility Without Losing Simplicity
Product teams must pay special attention to how the specific needs of their applications relate to the capabilities of the low-code platforms they select.
What’s Next for Investigative Intelligence?
With the emergence of hybrid threats, Investigative Intelligence requires correlating new data with historical data and marrying real-time processing with AI …
Assessing the Trustworthiness of AI and ML in Cybersecurity
Businesses should regard AI cybersecurity predictions with a level of skepticism for some time to come due to the reliability uncertainty of such
How NLU is Helping Improve Agent Performance For Better CX
NLU offers companies the power to improve quality management and to activate the best insights for a better overall customer
A Return to Small Data for 2021
The goal of pursuing small data is to create a truly human-like intelligent machine capable of learning the way children do when exploring the world for the …
Why Real-Time Monitoring Is Less Important Than It Seems
Rather than fixating on real-time monitoring for its own sake, businesses should focus on understanding and fixing problems in the most efficient
The Architectural Imperative for AI-Powered eCommerce
Remember, there is no AI without IA. Make sure that information architecture works and your AI will function appropriately.