A pragmatic approach I call Practical AI will rise in 2023 like a phoenix from the ashes of years of irrational exuberance around artificial intelligence

The AI Bill of Rights is the first step toward similar regulation of AI and machine learning algorithms

Bank of Canada makes major rate hike and consumer inflation increases; low unemployment rate continues

Within my AI predictions for the year, interpretable machine learning (ML) models have surprised me by garnering greater awareness from data science leaders

Helping organizations navigate the often-challenging implementation of Responsible AI as part of ESG efforts

New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors

Canada Sees Low Unemployment, But Rising Inflation – How Will This Affect Bankcard Usage?

Many organizations, including data science teams, derail innovation with internal competition that fragments resources and energy.

Experiments in credit management can lead to great gains in profitability and other metrics - here are four guiding principles to boost your success

I predict that Auditable AI and Humble AI will become widely used in 2022, as essential parts of Responsible AI

FICO’s data science labs called interpretable latent feature-based neural networks (ILF NNET) help expose and eliminate biases derived from data showing up in the model.

The Responsible AI Playbook provides a clear path to operationalizing AI deployments. Use it to achieve high-impact business results within important ethical and legal boundaries.

Data scientists need to justify the need for the incremental risk we assume when using more complicated methods to solve a problem - not be open source junkies

Auditable AI provides the documentation and records necessary to pass a regulatory review

FICO’s new Scam Detection Score identifies 50% more scam transactions compared to the standard fraud score