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The DeAngelis Review

Exploring Reason, Technology, and Humanity

The Importance of Cognitive Systems in the Digital World

This article discusses cognitive computing, a new approach to computing for the big data of the Digital Era. It helps businesses make better decisions by analyzing complex data and providing insights. Cognitive computing is not replacing humans but a tool to augment human decision-making.

Driving Business Value with Machine Learning

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.

Cognitive Computing in the Digital Era

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.

Ensuring AI Doesn’t Become a Clever Devil

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.

sust[AI]nability

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.

Trends 2021: Machine Learning

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.