Blog

The DeAngelis Review

Exploring Reason, Technology, and Humanity

Shipping Containers and Supply Chain Snarls: Is There a Way Out?

Port congestion is blamed on finger-pointing and limited space for containers. In this article, we explore collapsible containers as a solution to create more space at ports. These containers fold up to reduce storage footprint, but their higher upfront cost is a hurdle to widespread adoption.

Supply Chain Visibility in Foggy Times

The article explores the importance of supply chain visibility for businesses. It argues that many companies lack a holistic view of their supply chains, which hinders their ability to make informed decisions. I propose a five-step plan to improve supply chain visibility, including using standard identifiers, leveraging existing data, and building a digital twin of the supply chain.

Innovation and Artificial Intelligence

Article explores innovation and AI. Innovation rate is hard to predict but AI can help measure how existing technologies improve. This helps decide where to invest. Complexity drives innovation and breakthroughs come from combining ideas from different fields. AI won't replace humans in innovation, rather work alongside them. Innovation is more than just invention, it's about turning ideas into value.

Artificial Intelligence Enhances the Evolution of the Internet of Things

This article explores the convergence of AI and IoT, creating AIoT. This will make IoT devices more user-friendly and powerful. AIoT will be embedded in various devices and industries. It has the potential to be a major technological breakthrough.

Is Reinforcement Learning the Future of Artificial Intelligence?

Article explores reinforcement learning (RL), a powerful AI technique for trial-and-error learning. RL is useful for robotics, self-driving cars, and business applications like product recommendations and supply chain optimization. It's not a silver bullet but holds promise for complex problems.

Distinguishing AI, Cognitive Computing, and Machine Learning

The article clarifies the difference between AI, machine learning, and cognitive computing. AI is a broad term, machine learning is a subset that learns from data, and cognitive computing imitates human learning styles like an adolescent. Cognitive computing helps businesses make better decisions in complex situations.