WEBINAR: TAKE A TOUR OF SPARKLING LOGIC’S SMARTS™ DECISION MANAGER
A machine learning (ML) product roadmap does not follow traditional roadmaps. Unlike conventional applications where features are predictable and requirements are clear, ML products live in a world of uncertainty, experimentation, and evolving data landscapes. Yet...
In this post, we'll explore explainability in AI-based decision-making and how it contributes to the overall understandability of automated decisions. This is part of our series on what's new in SMARTS™ Washington. What is Explainability? Explainability, broadly...
In this post, we'll explore bias in AI-based decision-making and how organizations can prevent it. This is part of our series on what's new in SMARTS™ Washington. Bias in Human Decision-Making Bias in decision-making is nothing new. Research in psychology,...
Operationalizing machine learning and AI was the focus of SMARTS™ Washington, our latest release of our SMARTS™ decision management platform. In this post, we will cover how business analysts can effectively combine strategies, models, and rules in a single...
Last week, we announced the Washington release of our SMARTS™ decision management platform. The focus of SMARTS™ Washington is empowering businesses to seamlessly integrate machine learning and AI into automated decision making. In a nutshell, through SMARTS™,...