This article discusses how machine learning can improve businesses. Machine learning is a powerful tool, but it's important to ask questions before implementing it, like if you have the right data. Common uses include fraud detection, recommendations, and improving efficiency. Companies that don't implement machine learning risk falling behind competitors.

This article explores the term "cognitive computing" and its applications in business. The author argues that while the definition is debated, technology can help businesses make decisions with complex data. Cognitive computing is well-suited for ambiguous situations where there's no single right answer. Businesses are increasingly using cognitive computing in the Digital Era to make better use of vast amounts of data.

This article argues that AI systems need ethical considerations. AI can be biased by data or algorithms. The article explores ways to make AI development ethical, including human oversight and new companies specializing in responsible AI.

This article discusses how companies are increasingly focused on making their supply chains more sustainable to combat climate change, with artificial intelligence playing a key role in helping achieve sustainability goals.