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Artificial intelligence (AI) is making a big impact on marketing. It analyzes data to understand customers, allowing for targeted marketing, personalization, and better ad placement. This results in increased sales and customer satisfaction. Though complex, marketers don't need to be AI experts to leverage its benefits in marketing tools.

This article explores how artificial intelligence (AI) is transforming marketing. AI can analyze vast amounts of data to give marketers insights into customer preferences and behavior. This allows marketers to target customers more effectively, personalize experiences, and improve campaign performance. AI is still evolving, but it has the potential to revolutionize marketing.

This article discusses a new kind of artificial intelligence (AI) called multimodal AI. Unlike traditional AI, which focuses on one type of data (e.g., text, images), multimodal AI can process many data types together, as humans do. This allows for a more comprehensive understanding of the world. The article also mentions a race between the US and China in developing AI. China recently released a powerful multimodal AI model called WuDao 2.0, which may be more sophisticated than other systems.

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.