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This article discusses key trends driving artificial intelligence and machine learning in the coming years, including ModelOps, cloud computing, federated learning, edge computing, natural language processing, generative AI, and the pursuit of better-advanced analytics to enable more complex "System 2" thinking capabilities.

This article discusses the role of cognitive computing in augmenting human decision-making capabilities, particularly in complex and ambiguous situations. It highlights cognitive computing's ability to synthesize diverse information, weigh conflicting evidence, and provide context-aware insights to support better decisions.

This article discusses emerging trends in machine learning for 2021, including its integration with IoT, edge computing, hyperautomation, augmented intelligence, cybersecurity, and the increasing focus on ethical AI practices.

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.