
How Misused Terminology Is Damaging the Data Field
Terminology in the data field is a mess. This article clears up the confusion – and responsibilities and skills required – using a series of Euler diagrams.
Terminology in the data field is a mess. This article clears up the confusion – and responsibilities and skills required – using a series of Euler diagrams.
This article explores key factors for comparing machine learning solutions, providing an improved approach to model comparison beyond predictive power.
This article explores a short-list of techniques as you seek to adopt generative AI at the enterprise level. Use it as a checklist for patterns and resource for talent strategy
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.
Accelerating Your Data Innovation Journey in Healthcare
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.