AI, machine learning and modern marketing strategy — articles, tips and best practices.
Generative Engine Optimization (GEO) explained: how to make your content visible to ChatGPT, Perplexity, Claude and Google AI Overviews – not just for classic rankings.
Read more →How autonomous AI agents independently plan, test and optimize marketing campaigns – and why marketing automation returns an average of $5.44 for every dollar invested.
Read more →An overview of Edge AI, explaining how running artificial intelligence directly on devices reduces latency, improves privacy, and enables new applications in autonomous vehicles, healthcare, and smart homes.
Read more →An overview of multimodal AI models that can process text, images, and sound simultaneously, covering the underlying technology, key application areas in medicine, autonomous vehicles, and entertainment, and the challenges ahead.
Read more →An overview of Visual Search, an AI-powered image recognition technology that lets shoppers find and buy products using photos instead of keywords. The article explains how it works, cites real-world platforms already using it, and outlines the benefits for consumers and businesses.
Read more →An overview of how AI-based fraud prevention systems help e-commerce businesses detect and stop fraudulent transactions in real time, reducing chargebacks while building consumer trust. It covers early detection, real-time decisioning, customer authentication, and compliance considerations.
Read more →An examination of how AI improves supply chain optimization through demand forecasting, warehouse management, route planning, risk management, and personalized delivery.
Read more →This article examines how AI-powered automated product reviews can build consumer trust through transparency and support more informed purchasing decisions, while also addressing the challenges and concerns that come with them.
Read more →An overview of AI-powered personalization in e-commerce, covering its benefits for customer satisfaction and conversion, and the challenges around data privacy, prediction accuracy, and cost.
Read more →An overview of how artificial intelligence can help tackle major societal challenges across healthcare, environmental protection, education, social justice, and the economy and labor market.
Read more →This article explores whether artificial intelligence will become a collaborator or a competitor to human creativity, examining AI's growing role in art, music, and literature and weighing the case for cooperation against the risk of AI displacing human artists.
Read more →An overview of the ethical principles needed for responsible AI development and use, covering transparency, fairness, safety, data protection, key challenges like bias and autonomous weapons, and recommendations for governance going forward.
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