AI can feel like a foreign language, but today, I’ll break down the tech terminology so you can stay ahead of the curve.
Hello and welcome to the AI Six Podcast, the show for marketers embracing the AI Age where I uncover how AI is shaping the future of marketing—and what it means for you.
Today, I’m tackling something that might seem overwhelming at first: AI terminology. Understanding the key terms and concepts is crucial to using AI effectively in your marketing work.
Let’s start with a simple definition of Artificial Intelligence. According to the Oxford English Dictionary, AI is “the theory and development of computer systems able to perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
Once we get a handle on this foundation, we can break down the key terminology you need to know. From machine learning to predictive analytics, I’ll go through them all and keep it simple and relevant to your work.
Once you fully understand the terminology and what the technology can do, you are then better equipped to apply it to your work. Think about how you are going to influence internally—you’ll need to have the language and understanding, whether for your clients, management, or peers. Understanding AI is not just about using it in your marketing, it’s also about explaining it to others in a way that makes sense. So, take your time to grasp the concepts we’re discussing today. If it helps, listen back to this six-minute podcast until it clicks. And of course, if you still have questions, send me a DM on the social network of your choice.
Let’s break down some key AI terms. Don’t worry—I’ll keep it simple:
- AI and Algorithms: AI refers to machines performing tasks that would normally require human intelligence, such as problem-solving and decision-making. Algorithms are the instructions AI uses to process data and make decisions.
- Big Data and Bots: Big Data refers to large datasets AI uses to uncover patterns and insights. Bots, or chatbots, simulate conversations to assist users.
- Computer Vision and Customer Segmentation: Computer Vision allows AI to interpret visual data, such as images or videos. Customer Segmentation involves dividing your audience into groups based on characteristics or behaviours, which AI helps do more efficiently.
- Data Mining and Deep Learning: Data Mining extracts useful information from large datasets, while Deep Learning (a subset of Machine Learning) uses neural networks to handle more complex tasks like recognising images and making predictions.
- Generative AI and Hyper-Personalisation: Generative AI creates new content, like text, images, or music. Hyper-Personalisation allows AI to create deeply tailored experiences in real-time for individual users.
- AI Hallucinations: AI Hallucinations occur when AI produces inaccurate or nonsensical content, reminding us that human oversight is still necessary.
- Image Recognition and Intent Prediction: Image Recognition allows AI to identify objects in images, while Intent Prediction forecasts what users might do next, helping with personalised marketing.
- Machine Learning and Marketing Automation: Machine Learning enables AI to learn and improve over time. Marketing Automation uses AI to handle repetitive tasks like sending emails and scheduling social media posts.
- Natural Language Processing (NLP) and Neural Networks: NLP allows AI to understand and respond to human language, while Neural Networks are designed to mimic how our brains process information.
- Predictive Analytics and Quantum Computing: Predictive Analytics uses data to forecast future outcomes. Quantum Computing promises to revolutionise AI by allowing faster processing of massive datasets.
- Sentiment Analysis and Supervised Learning: Sentiment Analysis determines the sentiment behind text, and Supervised Learning is when AI is trained with labelled data to predict outcomes.
- Targeting and Text Mining: Targeting uses AI to identify the most relevant audience segments. Text Mining involves analysing text data, like customer feedback, to uncover insights.
- Unsupervised Learning and User Experience (UX) Optimisation: Unsupervised Learning allows AI to identify patterns without labels, and UX Optimisation improves user interaction on digital platforms.
- Virtual Assistants and Voice Search Optimisation: Virtual Assistants like Siri help users perform tasks, while Voice Search Optimisation ensures your content is visible in voice searches.
- Workflow Automation and Web Scraping: Workflow Automation lets AI handle repetitive tasks, and Web Scraping extracts data from websites to gain market insights.
- Explainable AI and Yield Optimisation: Explainable AI refers to AI that can explain its decisions. Yield Optimisation adjusts strategies in real-time to maximise campaign results.
- Zero-Party Data: Zero-Party Data is data that customers provide directly, like preferences or feedback. AI uses this to create personalised experiences.
Now that we’ve covered some key AI terms, you should feel more comfortable with how AI works and how to apply it in your marketing efforts. From predictive analytics to natural language processing, understanding these terms will help you use AI more effectively and make smarter decisions in your work.
Want to get a deeper understanding of AI and how it can revolutionise your marketing? Check out my Professional Diploma in AI for Marketers or book an in-company workshop to get your team up to speed. Use the code AISIX10 for a special podcast listener discount.
🎙️ AI Six Podcast – For marketers embracing the AI Age.
About the Podcast Host
Joanne Sweeney is a specialist in public-sector marketing and digital communications. She’s the author of Public Sector Marketing Pro and the creator of the Professional Diploma in AI for Public Sector Marketing. With years of experience training, consulting, and advocating for digital transformation, Joanne provides insight and guidance for government agencies navigating the digital landscape. She is also the host of the award-winning Public Sector Marketing Show podcast.
