The top 5 challenges businesses face with AI/ML Implementations
As artificial intelligence (AI) and machine learning (ML) continue to evolve, many businesses are eager to integrate these technologies. However, the journey to effective implementation is often misunderstood. Here are the top five challenges that organizations encounter when embracing AI and ML, extending far beyond the technical complexities. 1. Misalignment…
Navigating the Future with Decision Intelligence: Beyond the Hype of AI
Decision Intelligence (DI), DI is an interdisciplinary field that involves combining various domains such as data science, social science, managerial science, and decision theory to improve decision-making processes. It integrates data analysis, predictive analytics, and artificial intelligence (AI) techniques to aid individuals and organizations in making better, more informed decisions and is worth delving into if decision support is your thing.
Embracing AI in K-12 Education: A Balanced Approach
As the discourse around artificial intelligence (AI) in education intensifies, it’s essential to navigate through the noise and understand the real impact of AI on K-12 education. While some enthusiasts prematurely herald the era of AI-driven classrooms, a closer look reveals a more nuanced reality. AI, particularly generative AI, is…
Agile! What happened? A Critical Reflection and the Indispensable Role of Vision and Planning
In his insightful article, “Agile! What happened?”, Angus Gow perceptively identifies the pitfalls and paradoxes many organizations face when adopting agile methodologies. Gow’s years of experience and observations lead to a poignant critique: despite agile’s promise for adaptability and efficiency, its implementation often falls short, plagued by anti-patterns and a…