AI has the potential to radically transform financial services. But first banks need to get their data in order.

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.
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Adam M Root: How to use machine learning to reduce costs and boost output

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

What Is So Special About TikTok's Algorithm?

A study, which researchers from the U.S. and Germany published last year, found TikTok's algorithm "exploits user interests in 30% to 50% of the recommendation videos", after examining data from 347 ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
IEEE

A Review on the Applications of Machine Learning and Deep Learning Algorithms for Image Recognition

Abstract: Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition ...
IEEE

Automated Metaheuristic Algorithm Design With Autoregressive Learning

Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design algorithms within ...