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The DeAngelis Review

Exploring Reason, Technology, and Humanity

Earth Day 2024: Why Supply Chains Should Care

This article discusses the importance of Earth Day for businesses and their supply chains, highlighting the critical need for sustainability efforts. It explores the negative impacts of climate change on business operations and the challenges companies face in implementing environmental initiatives.

From Globalization to Glocalization

This article discusses the shift from hyper-globalization to regionalization or "glocalization" in global trade. It explores the reasons behind this trend, including geopolitical factors and supply chain resilience, while emphasizing that globalization is evolving rather than ending completely.

Decision Science and the Supply Chain’s Decision Abyss

This article discusses the importance of data-driven decision-making in businesses. It highlights the challenges of the "decision abyss" and introduces solutions like Enterra's System of Intelligence, which combines AI technologies to improve decision-making processes and drive enterprise success.

Does AI Pose an Existential Threat?

This article discusses the potential risks associated with artificial intelligence, including its amplification of human errors, impact on societal institutions, and potential for misuse. It explores various expert opinions and proposals for managing AI development and governance internationally.

Moving Ahead with Net Zero Goals and Climate Adaptation

This article discusses the outcomes of COP28 and the challenges of implementing climate change mitigation strategies. It explores the high costs of fighting climate change, the necessity of adaptation, and the business case for investing in climate resilience and net-zero initiatives.

Thieves and Abusers are Ruining Supply Chain Returns for Everyone

This article discusses the challenges retailers face with product returns, including fraudulent practices and their financial impact. It explores strategies to manage returns effectively, such as using AI to predict and process returns, and the importance of consumer-friendly return policies.