Rulex has been recognized in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms

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Explainable AI in Life Sciences

by Claire Thomas Gaggiotti | Machine Learning

While AI offers significant potential in life sciences, its implementation comes with several challenges, ranging from the pure size of medical databases, to mandatory regulatory compliance and the ethics of using black-box models in medical decision making. Rulex...

Predicting customer churn using machine learning

by Rulex | Machine Learning, Financial Services

Predicting customer churn using machine learning has proved effective in identifying potential churners and developing successful retention strategies for the financial sector. The process of digital transformation has opened up great new possibilities for banks and...

Know your algorithm – explaining decisions with AI

by Rulex | Machine Learning

How many algorithms do we encounter on a daily basis? The answer is much more than we think – from consulting Google maps to find the fastest route to that new restaurant, to scrolling through our Facebook feed. But how does artificial intelligence decision-making...

Explainable AI: why it is important for business

by Matteo Aragone | Machine Learning

Explainable AI it produces transparent, easily understandable models. Using a series of if-then statements, Rulex automatically produces self-explanatory logic for all decisions. Rulex rulesets make it possible to explain a decision directly to the customer or provide...

The First Rule About AI Club: You Don’t Talk About AI

by Claire Thomas Gaggiotti | Machine Learning

How focusing on decisions can help you productionize your next AI project The internet is the best place in the world to turn your suspicions into nightmares. Suspecting your partner is cheating on you? Every Facebook Like will confirm it. Feeling a little dizzy? Dr....

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