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The DeAngelis Review

Exploring Reason, Technology, and Humanity

iPods and Worms

Apple iPods manufactured after September 12th, 2006, contained a worm that infected Windows PCs. The worm could turn the PC into a "zombie" vulnerable to hacker attacks. Apple advised Windows users to update antivirus software to remove the worm.

Digital Transformation is an Endless, but Worthwhile, Journey

Digital transformation is now a continuous process of business reinvention. Companies must embrace AI and data-driven operations to stay competitive, with leaders achieving significantly better results than laggards in implementing digital technologies.

Digital Transformation and the Death of Industrial Age Business

The article discusses the transition from industrial-age businesses to digital enterprises. It emphasizes the importance of digital transformation, highlighting its challenges and benefits. The piece introduces the Enterra System of Intelligence as a tool to ease this transition and create more adaptive, "biological" organizations.

What Business Leaders Need to Know About Machine Learning in 2022

Machine learning (ML) is a type of artificial intelligence (AI) that allows computers to learn from data and make predictions. Businesses are adopting ML to automate tasks, improve efficiency, and gain new insights from data. There are different techniques for training ML models, including supervised, unsupervised, and reinforcement learning. No-code ML, TinyML, AutoML, and MLOps are emerging trends that make ML more accessible to businesses. By understanding ML, businesses can discover new opportunities to gain a competitive advantage.

Remembering D-Day: A Logistics Miracle

The rise of e-commerce has made last-mile delivery crucial. This article explores challenges like traffic and cost and then highlights innovations like underground cargo systems and AI-powered solutions. It concludes by discussing sustainability efforts and predicts continued advancements in last-mile logistics.

Alright, AI. Explain Yourself

Businesses worry about inaccurate AI outputs. Explainable AI aims to address this by making AI systems transparent, building trust, and ensuring fair and accurate AI decisions.