How XAI Enhances Predictive Analytics in Banking

  07/03/2018   Dave Irwin   Financial   No comments

Predictive analytics plays an important role in the banking industry when it comes to fraud prevention, risk assessment, and more. Discover how explainable AI can enhance the functions predictive analytics serves in banking.

Machine Learning with Transparency Changes the Art of the Possible in Marketing

Most marketers are just beginning to explore machine learning applications.  Machine learning is already providing tremendous analytic efficiency gains and increased precision.

Marketers Need Granular Transparency Behind Machine Learning Predictions

Demand for explainable AI over the last year has started to ramp up from a variety of perspectives. DARPA, the Defense Advanced Research Projects Agency, for example, has been calling for more explainable machine learning models that human users can understand and trust.

Revealing the Secrets of AI or Killing Machine Learning?

  08/22/2017   Dave Irwin   Financial   No comments

The General Data Protection Regulation (or GDPR) going into effect in the EU in 2018 requires that algorithms used to make credit or insurance decisions must be explainable to consumers.

The Financial World Wants to Open AI’s Black Boxes

  08/22/2017   Dave Irwin   Financial   No comments

For financial services firms, the fact that artificial intelligence algorithms are “black boxes” that don’t enable them to explain decisions is a major problem to due legislative requirements.

The Use of AI in Banking is Set to Explode

  07/25/2017   Dave Irwin   Financial   No comments

The number one trend identified in the 2017 Retail Banking Trends and Predictions was a renewed focus on the customer experience. Personalizing customer communications at scale, and leveraging AI to maintain a competitive edge along with significant efficiency gains are discussed.