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Decision making, not data analysis, is key to business success, argues this article. While data science finds patterns, decision science uses data and logic for better choices. Enter Autonomous Decision Science (ADS), powered by AI to make judgements and act like an expert, at machine speed.

This article discusses the difference between data science and decision science and argues that decision science is more important for businesses and introduces the concept of Autonomous Decision Science (ADS) as the next step in decision science. ADS uses AI to make decisions at machine speed with human-like judgment.

This article explores Apple's plans to scan iPhones for child sexual abuse material, raising privacy concerns among experts who argue this technology could enable broader surveillance.

This article explains machine learning, a powerful technology used in business. Machine learning uses data to find patterns and make predictions. It's different from traditional statistics and data analytics. Businesses are increasingly using machine learning for tasks like fraud detection and product recommendations.

The article discusses the difference between real and fake AI. Real AI hasn't been developed yet. What many call AI is actually machine learning, which is useful but limited. Businesses care more about results than whether the technology is real AI.

The article discusses the ethical use of AI in military operations. AI is being integrated into military systems and raises concerns about autonomous weapons. The US needs to address these concerns while maintaining its military edge. International cooperation is also important.

The article discusses Robotic Process Automation (RPA) as a tool to automate tasks and increase efficiency. RPA is ideal for repetitive tasks but may not be suitable for complex ones. The pandemic has accelerated RPA adoption as companies look for ways to adapt to a changing workforce. While RPA can replace some jobs, it can also free up employees to focus on more creative work. Cognitive RPA combines RPA with AI for more advanced automation.

The article clarifies the difference between AI, machine learning, and cognitive computing. AI is a broad term, machine learning is a subset that learns from data, and cognitive computing imitates human learning styles like an adolescent. Cognitive computing helps businesses make better decisions in complex situations.