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.
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…
Understanding the Distinctive Roles of a CTO and CPO in today’s Corporate Ecosystem
In the dynamic landscape of contemporary business, particularly within burgeoning startups, the roles of Chief Technology Officer (CTO) and Chief Product Officer (CPO) are often misunderstood. While startups and SME’s may have to opt for a combined roles due to resource constraints, larger organizations require both. As a company’s scale,…