Blog

The DeAngelis Review

Exploring Reason, Technology, and Humanity

Ukraine and the Supply Chain

E-commerce growth strains last-mile delivery, raising costs and creating traffic congestion. This article explores innovative solutions like autonomous cargo systems and AI for warehouses. It also discusses efforts for sustainable deliveries with electric vehicles and route optimization.

Trends 2022: Quantum Computing

Businesses are jumping on the quantum computing bandwagon despite challenges. While not replacing classical computers, quantum machines offer the potential for solving complex problems in various industries, especially pharmaceuticals and logistics.

Robotic Process Automation and the Supply Chain

Ever think robotic automation could revamp your supply chain? RPAs can streamline operations by automating paperwork and freeing human workers for more strategic tasks. This article explores how RPA can transform procurement, logistics, and order processing.

Trends 2022: Automation

The labor shortage is pushing businesses to automate to maintain productivity. This article explores the top trends in automation, including hyper-automation, intelligent automation, and cloud-based automation. Experts say that a successful automation strategy requires the right technology and a corporate culture that embraces change.

Trends 2022: Supply Chain

The article discusses significant trends in supply chain management for 2022. Key takeaways include increased focus on digital transformation, supply chain visibility, and resilience. Technology like AI and automation is expected to play a significant role. More investment will likely be in 3PL and 4PL services, micro-warehouses, and more extensive storage facilities. Sustainability and talent shortages are also pressing issues. Supply chains are expected to become more adaptable and responsive to disruptions.
5 min read

Policymakers and Artificial Intelligence

This article explores the challenges of regulating AI. Policymakers struggle to keep pace with technological advancements. International cooperation is needed but difficult to achieve. Balancing innovation and ethical risks is a challenge. EU's proposed AI Act could serve as a model for global regulation. Industry standards can help, but legal frameworks are essential.