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Artificial Intelligence
Cognitive Computing and Advanced Analytics
Cognitive computing, a term aiming to support human decision-making, is evolving into cognitive analytics, leveraging AI to analyze massive data for better business outcomes. Cognitive analytics is seen as the future of data science.

Artificial Intelligence
How Much Danger Does AGI Pose?
This article explores the risks of artificial general intelligence (AGI) wiping out humanity. While some experts are very concerned, others believe it’s unlikely or a far-off threat. The article argues for vigilance in researching and developing AGI.

Artificial Intelligence
Automation, AI, and the Future of Work
his article explores the impact of automation and AI on jobs. While some experts fear massive job losses, others believe new jobs will be created. The article emphasizes that humans and machines will likely complement each other in the future workplace. AI is expected to affect higher-skilled workers more than automation. The article concludes by arguing that workers should embrace new technologies and that humans should guide how technology impacts jobs.

Artificial Intelligence
Natural Language Processing: Learning and Lies
This article explores large language models (LLMs) that can hold conversations. While impressive, these LLMs can also make up facts and be dangerously misleading. The article highlights potential benefits and risks and emphasizes the need for careful moderation.

Artificial Intelligence
Trends 2023: Artificial Intelligence
The article highlights the importance of supply chain resilience after disruptions like COVID-19. It argues that digital tools like big data and AI can improve risk management, forecasting, and overall supply chain visibility. These technologies can help businesses adapt to disruptions and become more resilient.

Global Value Chains
Enhancing Supply Chain Resilience
The article highlights the importance of supply chain resilience after disruptions like COVID-19. It argues that digital tools like big data and AI can improve risk management, forecasting, and supply chain visibility. These technologies can help businesses adapt to disruptions and become more resilient.

Global Value Chains
The Need to be Resilient as Nations, Companies, and Individuals
This article argues that outdated risk management methods hurt businesses. It emphasizes using digital tools like predictive analytics to identify and mitigate supply chain risks and concludes that a combination of these technologies is most effective.