WEBINAR: TAKE A TOUR OF SPARKLING LOGIC’S SMARTS™ DECISION MANAGER
Carlos recently published a useful piece on mapping automated decision-making technology (ADMT) exposure in Colorado and California. His central point is the one I would underline: the compliance question is not "where do we use AI?" Instead, it is "where do models,...
Two US states now regulate automated decision-making technology (ADMT). Colorado's new automated decision-making law, signed on May 14, 2026 and effective January 1, 2027, applies when technology "materially influences" a consequential decision. California's ADMT...
Decision management (DM) has long been good at the deliberate part of a decision: explicit logic against mostly structured data that people can read, test and govern. Where there has always been an opportunity is leveraging unstructured data to enhance these automated...
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 our previous post, we discussed AI agents and how agentic AI differs from generative AI. In this post, we'll delve into decisioning agents, a specific type of AI agent. What are Decisioning Agents? Decisioning agents are specialized AI agents designed to analyze...