The DeAngelis Review

Companies are responsible for ethical sourcing throughout their supply chain. Risks include reputational damage, regulatory issues, and infiltration by malicious actors. Data analysis and cognitive computing systems can help companies identify and mitigate these risks.

Additive manufacturing (3D printing) is revolutionizing manufacturing. It excels in prototyping and customized products but is slow for mass production. Challenges include speed, standardization, and environmental impact. The future looks bright for 3D printing in many industries.

Industry 4.0 is the next industrial revolution driven by AI, robotics, and 3D printing. It will make manufacturing more efficient but will also eliminate some jobs. The article explores ways to attract younger workers to these jobs, including gamification and making factories more data-driven. Existing workers can also be prepared for Industry 4.0 by focusing on continuous learning, problem-solving, and interpersonal communication skills.

Digital twins are virtual representations of physical products or processes. They use data to improve manufacturing by predicting problems, optimizing designs and processes, and creating better products. They are especially useful for complex and expensive machinery.

The article discusses supply chain risk management and how businesses can improve resilience. It emphasizes learning from past disruptions, keeping risk management plans up-to-date, and using data and analytics to make better decisions.

The article explores the future of the Internet of Things (IoT) where devices will be able to analyze data and act on it, without needing human intervention. This "cognitive IoT" is likened to a brain, receiving data from sensors (nervous system) and using it to take actions. Experts believe cognitive IoT will revolutionize various industries and is the next step after the current, data-collecting IoT.