The U.S.–Iran conflict highlights strategic miscalculations, escalation risks, and the limits of military power in complex regional politics.

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The alliance combines Lumanity’s commercial and development strategy capabilities with PICI’s translational research expertise

Introduction In the race to unlock enterprise agility, businesses are turning to artificial intelligence (AI) to transform decision-making, optimize operations, and discover opportunities that were previously hidden in plain sight. But there’s one truth that remains consistent: if your data sucks, then your AI journey will suck. That blunt but honest assessment continues to underscore a growing reality for organizations seeking to capitalize on AI’s full potential. Why Clean Data Is Non-Negotiable AI thrives on data. But not just any data. Clean data. That means: Accurate: free of errors and inconsistencies Complete: no missing fields or gaps Consistent: the same formatting and logic across all systems Relevant: timely, contextual, and meaningful to the task at hand When data meets these standards, it becomes a powerful asset. When it doesn’t, it becomes a liability. Clean data is essential because AI uses data in two fundamental ways: Training: to recognize patterns and build a model that understands desired outcomes Practice: to evaluate new data and recommend actions based on what it has learned Think of AI like a map. Training is the process of drawing that map based on known information. Practice is using that map to navigate toward future decisions. If […]

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