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Despite numerous supply chain disruptions, companies often lack effective risk management. Analytics can help assess risks, but cognitive computing offers a more predictive approach. These AI systems can model many scenarios to find resilient strategies and help businesses make informed decisions.

A study found that 83% of supply chain executives report negative impacts of globalization on business performance, mainly due to complexity and risk. The key to mitigating risk is better visibility throughout the supply chain. Implementing a global supply chain risk management program can help companies achieve this. The article also details 10 tips for getting started with such a program.

The article explores the challenges of filling job openings as economies reopen. There's a high demand for AI expertise, including data scientists and machine learning engineers, to address labor shortages. While these jobs are in high demand, there's a lack of skilled workers. Cognitive technologies can help bridge this gap by automating some tasks and making data analysis more accessible to non-experts.

The article discusses the difference between connected and smart cities. True smart cities integrate data from various sources (traffic, utilities, etc.) to optimize services and resources. Data silos, where information is kept separate, prevent this integration and hinder the development of smart cities.

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.

In this recent article, featured on Unite.AI, I discuss the critical need for CPG companies to optimize revenue growth amid market uncertainties. True optimization requires sophisticated mathematics and AI tools that can handle real-world complexity, not just traditional forecasting or generative AI. Understanding these distinctions is key to success. To read the original article, click here: https://bit.ly/4b5Btku

This article discusses the Internet of Things (IoT) and how it will become cognitive. Cognitive IoT devices will be able to analyze data and take actions without human intervention. The article concludes that while there are challenges, cognitive IoT is the future.

This article discusses Halloween becoming a bigger business than ever. Consumers are expected to spend $8.4 billion this year, with most going on candy and costumes. The article also highlights the complex supply chain that brings Halloween products to stores.