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This article explores the dangers of deepfakes, AI-generated videos that can make real people say or do things they never did. Deepfakes can be used to spread misinformation or damage someone's reputation. Lawmakers are struggling to create laws to regulate deepfakes without infringing on free speech. AI can also create realistic faces of people who don't exist, and AI facial recognition software can misidentify people.

This week, Steve was featured on Schwab Network hosted by Nicole Petallides, where he discussed tech and A.I. trends in focus. Steve notes that MSFT, META, and GOOGL are working to build the largest possible knowledge bases with factors that could differentiate competitors in the A.I. space. Steve also discusses AI and the future of work.

This article explains how machine learning can be a useful tool for marketers. Machine learning helps analyze data to understand customers and create targeted marketing campaigns. Marketers can segment customers, automate tasks, and optimize campaigns using machine learning. However, machine learning is a tool and requires human input to be successful.

This article explains how machine learning can be a useful tool for marketers. Machine learning helps analyze data to understand customers and create targeted marketing campaigns. Marketers can segment customers, automate tasks, and optimize campaigns using machine learning. However, machine learning is a tool and requires human input to be successful.

This article argues current AI (machine learning) is limited. Manufacturers need next-level AI (Autonomous Decision Science) to optimize their value chain. ADS uses data to make decisions and respond to disruptions faster than competitors, giving manufacturers a market advantage.

AI is becoming essential for retailers as it helps with decision-making, inventory management, and customer experience. AI can also reduce wait times and optimize media spending. Experts say AI is the future of retail.

This article explores the hype around "artificial intelligence" (AI). It argues that AI is more of a marketing term than a reality and that businesses should focus on "cognitive computing" for practical applications like data analysis and decision-making.

Additive manufacturing (3D printing) is revolutionizing manufacturing. It excels in prototyping and customized products but is slow for mass production. Challenges include speed, standardization, and environmental impact. The future looks bright for 3D printing in many industries.