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Drawing from a decade of experience, Armin Kakas details five lessons and a roadmap for analytics leaders who want to build a sustainable practice that adds real, quantifiable value.

This article explains why an easily executed and user-friendly project will always outclass a high-complexity showpiece.

In the latest installment of our blog series on data and AI innovation in healthcare, Ryan Sousa introduces the Pulse Framework: a proven method for streamlining and unifying decision-making.

In part four of his blog series, Manas Das leads you through the different types of AI products and a thorough 10-step process for AI integration.

Too many AI projects are founded on the belief that it will be the solution to all your productivity and operating challenges. Here’s how to avoid this mistake.

Driving value through personal data is often framed as a balancing act between robust data privacy and creating business insights. Avoid this false dichotomy and use a risk-decision approach.