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As your company maps out its 2024 AI strategy, use this powerful metaphor to consider the implications of centralized knowledge and striking a balance between knowledge graphs and LLMs.
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.
Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include a piece exploring McKinsey…
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.