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Entry or basic reporting. The Cons of AI in Digital Marketing Bias - AI can only be as effective as the data it draws on so it’s not inherently neutral. This means you need to be aware of the potential for racial, gender, cultural, or socioeconomic biases in your AI-driven strategies. Inaccuracy - Mistakes or inaccuracies in data can lead to faulty analyses and potentially costly business decisions. Ethics - Ethical concerns include the manipulation of user data and behavior, consent, and the ‘creepiness factor’ in hyper-targeted ads. Data sensitivity and security - AI systems often require access to extensive datasets, which may include sensitive information that needs to be securely managed. Transparency - As AI-generated content becomes more common, questions about transparency, plagiarism,  

authorship, and IP ownership become relevant. What are the Most Common Skills Used in AI-Driven Digital Marketing? The key to using AI technology effectively is to make it fit in with your role. It's not enough to know h Job Function Email List icial intelligence. You also need to know why you're using it. Does it align with your business and career goals? Will it help you deliver organizational objectives more efficiently? You need to understand the basics but also take a deep dive into AI to use it to meet your goals whether that be generating leads or improving customer service. Here are some of the key technical skills you should consider brushing up on to improve your broader competency with AI tech: Data management Data analysis Testing Content personalization Marketing automation Process analysis and improvement  



Developing these technical skills may alleviate some of the fear you might feel when dealing with AI. The more familiar you become with the models and technology, the less intimidating it becomes! But it’s not just about hard skills like coding or content marketing. Companies seek marketers with outside-the-box thinking and skills that make them solution-focused. “I speak to a lot of people in ad agencies and learning and development at big companies and they often talk about hard skills. I want to see people learn how to code. I want to see them apply this and get ROI,” says Clark Boyd on the DMI podcast. Four areas that are important to focus on for broader or soft .