The ABCs of AI: A Handy Glossary Breaking Down Artificial Intelligence Jargon

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Earlier this year, the whole artificial intelligence (AI) world got bigger and more bewildering with the new kid on the block, generative AI. There’s so much going on, from varied AI tech to the hype about things like ChatGPT, it’s not surprising that folks end up lumping all of AI under one umbrella. But, let’s be honest, that just stirs up more confusion. 

So, we decided to cut through the fog. We’ve created a comprehensive, easy-to-understand glossary to make sense of all things AI. Our goal? Clearing up misunderstandings, encouraging better communication and helping everyone appreciate this mind-blowing tech. This friendly guide will shine a light on the different aspects of AI.

Artificial Intelligence (AI): It’s all about computers playing copycat with human intelligence. Think of it as having a tireless digital sidekick that takes on tasks that usually need our brains, and doing it quickly and accurately.

Natural Language Processing (NLP) and Natural Language Generation (NLG): These AI offshoots let computers get the hang of and generate human language. They’re big players in stuff like understanding customer feelings (sentiment analysis), creating content and knocking up reports. 

Generative AI: This is AI’s exciting new frontier. It takes lessons from data to cook up fresh content, like catchy blog posts, personalized recommendations or snappy product descriptions. It’s like the future of content creation is here. Just a heads-up, while it’s got loads of potential, there are some hurdles to watch out for. 

Machine Learning (ML): This is AI’s sibling that lets computers learn and make guesses without needing to be explicitly told what to do. It’s behind key marketing tools like smart bidding in online ads and keeping customers from leaving (churn prediction). 

Deep Learning: A cousin of ML, it uses artificial neural networks to dig out complex patterns from data. Deep learning is the brainpower behind things like image recognition, turning the tables in visual search and targeted advertising. 

AI-driven marketing revolves around tools like chatbots, virtual assistants and recommendation engines. They ramp up the customer experience by providing personalized interactions, help and recommendations. At the same time, marketing automation and predictive analytics streamline our strategies by automating the boring stuff and predicting trends. 

AI also powers key marketing processes like customer segmentation and attribution modeling. These help zero in on key customer groups and figure out which marketing touch points get us sales. Plus, AI’s skill in data mining lets us draw important insights from big data piles. 

Technologies like augmented reality (AR), which once seemed like a sci-fi dream, are now everyday marketing tools, thanks to AI, creating super interactive experiences for customers. Plus, AI boosts voice search optimization, making finding stuff easier in the time of Siri, Alexa and Google Assistant. 

In the end, AI isn’t just about futuristic tech and complex jargon; it’s about creating simpler, smarter ways to connect with customers and drive results. Now that you understand the basics of AI, you’re ready to join us on this exciting journey. 

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Kimberly Wold Janke

An expert at planning and executing successful integrated marketing communications campaigns, Kimberly has worked in the marketing and advertising industry for more than 20 years. She uses this marketing and advertising experience and her passion for results-driven communication to lead Flint Group marketing teams and educate and inspire at conferences and events. She is well-known among the industry for her work with Blue Cross Blue Shield of North Dakota (BCBSND), including the Bolder Shade of Blue campaign that helped lead BCBSND out of crisis and repair its brand reputation. Her work on this campaign helped earn Flint Group and BCBSND the 2014 Public Relations Society of America (PRSA) Silver Anvil Award.

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