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The ethics of AI-powered marketing technology

Martech

Marketers have long used technology and data to target their audiences effectively. AI has now enhanced this capability, but it also raises ethical concerns. How can marketers balance innovation and privacy? The explosion of AI tools enables us to launch more targeted and personalized marketing campaigns quickly.

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How to Make Your Website “The Answer” in ChatGPT Queries

Webbiquity

How will artificial intelligence (AI) impact search engine optimization (SEO) strategies and tactics? How will digital marketing pros need to adapt their practices to optimize their brand presence in tools like Microsoft’s Copilot, Google’s Gemini, and ChatGPT? Lots of marketers are asking.

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ZoomInfo, Data Privacy, and You

Zoominfo

Companies are increasingly facing pressure from regulators and consumers alike to address data privacy concerns and tighten collection data collection processes. Our data collection and usage strategies prioritize accountability, responsibility, and an in-depth understanding of individual privacy. Current Data Privacy Laws.

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Evaluating AI Tools: Key Aspects Email Marketers Should Consider

Litmus

It’s 2023, and artificial intelligence (AI) is everywhere. From generative AI tools like ChatGPT to coding assistants like GitHub Copilot, the potential of AI is top of mind for almost everyone in the digital landscape. Where AI shines AI is great for tasks that follow patterns and rules.

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The dark side of virtual try-on tools: Safeguarding biometric data

Martech

The increasing use of biometric data, such as facial recognition and fingerprints, for authentication raises new privacy risks, especially in a world where virtual try-on is an increasingly widely used marketing tool. Well, after the purchase, I hit a moment of regret about privacy. So, what’s the issue? government employees.

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How Machine Learning/AI in Advertising Works (And How Advertisers Benefit From It)

Matchcraft

Machine learning is a type of artificial intelligence (AI) that allows systems to learn from data and improve their performance without being explicitly programmed. AI can include machine learning, as well as other technologies such as natural language processing, computer vision, and expert systems.

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CDP Overview: How We Got Here, Where We're Going, and What Could Get in the Way

Customer Experience Matrix

Before then, customer databases were custom projects, like a data warehouse, and the only packaged marketing software was applications like campaign management systems or predictive modeling tools. More recently, we’ve seen interest in using customer data beyond marketing, which makes IT and data teams more interested in CDP projects.