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The DeAngelis Review

Exploring Reason, Technology, and Humanity

Systems Of Intelligence: The Next Era Of CPG Value Chain Optimization And Decision-Making

Disruptions like political tensions and climate change threaten consumer goods supply chains. SOI, powered by AI, optimizes these for changing demands. Strategic adoption with good data is key. CPG companies embracing SOI win. The original Forbes Technology Council article can be found here: https://bit.ly/3V8zKGr

What’s in the Food Supply Chain Matters as much as How Well It Is Functioning

This article discusses global food security challenges and efforts to improve the food value chain. It explores environmental, health, economic, and social impacts of agriculture, emphasizing the need for sustainable practices, diversified food sources, and technological innovations to address hunger and climate concerns.

Six Myths About Entrepreneurship

This article explores the importance of entrepreneurship in the economy and debunks six common myths about starting a business. It emphasizes that entrepreneurship is accessible to many, requires education and collaboration, and can be successful at various ages and scales.
5 min read

Chief Executive Magazine: CEO Toolbox: How To Plan Better In 2025

In this article from Chief Executive Magazine, I share my thoughts with Dale Buss on the importance of adaptability in strategy-making. In today's unpredictable world, designing a set of preplanned strategies that can be quickly implemented as market conditions change is crucial. This approach allows companies to mitigate risks and exploit opportunities more effectively than competitors, even in unexpected challenges.

Rise of the Middle Powers

This article discusses the evolving role of "middle powers" in international relations. It explores how these nations are leveraging their position in a multipolar world, pursuing multi-alignment strategies, and gaining influence without necessarily aligning with major powers like the US or China.

The AI arms race may soon center on a competition for ‘expert’ data

Training data scraped from the web may have been OK for the first wave of large language models, but as competition increases, more and better data will be needed.