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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.

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 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 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.

Experts agree AI will significantly impact various industries. Machine learning, a more precise term than AI, is expected to be heavily used to optimize businesses and improve human-machine interaction. AI is also likely to become more ethical and integrated with the Internet of Things.

AI is expected to transform many industries like healthcare and transportation. Machine learning is a more accurate term than AI. Experts predict increased use of machine learning to optimize businesses and improve human-machine interaction. AI will likely become more ethical and integrated with the Internet of Things.

This article provides a glossary of terms related to artificial intelligence (AI). It emphasizes that while AI is a popular term, it’s important to understand the different technologies that fall under this umbrella. The article defines terms like machine learning, natural language processing, and deep learning.

Businesses today face a complex and ever-changing world. Cognitive computing systems can help them deal with this complexity by identifying root causes, fostering better collaboration, and integrating data. However, cognitive computing is just one tool; a successful approach requires a multi-faceted strategy.