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The DeAngelis Review

Exploring Reason, Technology, and Humanity

Welcome to Ada Lovelace Day

This article discusses Ada Lovelace Day, celebrated annually to honor the achievements of women in STEM fields like Ada Lovelace, considered the first computer programmer. It also highlights the 2020 Nobel Prize in Chemistry awarded to Emmanuelle Charpentier and Jennifer A. Doudna for their groundbreaking gene editing technique CRISPR.

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This article argues that outdated risk management methods hurt businesses.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.

Decision-makers are Beginning to Appreciate the Value of Cognitive Computing

The article discusses cognitive computing, a type of AI that aims to mimic human thinking. It's distinct from traditional AI (machine learning) because it can handle ambiguity and uncertainty. Cognitive computing systems are adaptive, interactive, iterative, and contextual. They are designed to augment human decision-making, not replace it. Businesses can leverage cognitive computing to gain insights from data and improve decision-making. While AI can make predictions, human judgment is still critical for making final decisions.
5 min read

When Making Decisions, What Should You Trust: AI or Your Gut?

This article explores the concept of intuition and its role in decision-making. It argues that AI can be a valuable tool to augment human intuition and improve decision-making. The article also discusses the different ways AI can be used to assist decision-making, such as augmented intelligence and artificial intuition. Finally, it highlights that while AI can automate some decisions, human input is still important for complex decision-making.

Making Machine Learning Useful for Your Business, Part Two

This article discusses challenges of implementing machine learning for businesses. These include data quality, complexity vs. accuracy trade-offs, bias, and maintaining models over time. Companies need to address these challenges to reap the benefits of machine learning.

Making Machine Learning Useful for Your Business, Part One

This article explores the difference between AI and machine learning. Machine learning is a powerful tool for businesses, but it shouldn't be a fad. Businesses should focus on how machine learning can solve real problems like sales forecasting and marketing. Part 2 will discuss the challenges of implementing machine learning.