Marketing Artificial Intelligence: Ai, Marketing, and the Future of Business
Paul Roetzer
Top 10 Best Quotes
“•Artificial Intelligence: The science of making machines smart. •Marketing AI: The science of making marketing smart. •Algorithm: Set of rules that tell a machine what to do. •Traditional Automation: Automation powered by sets of instructions (aka algorithms) coded by humans that tell machines what to do. •Intelligent Automation: Automation powered by AI that has the potential to define its own algorithms, determine new paths, and unlock unlimited potential. •Machine Learning: The primary subset of AI in which the machine uses data to continually learn and make more increasingly accurate predictions. •Deep Learning: An advanced type of machine learning that mimics the functioning of the human brain, giving machines humanlike abilities to see, hear, write, speak, understand, and move.”
“•Alexa and Siri answer your questions •Amazon predicts your next purchase •Apple unlocks the iPhone by scanning your face •Facebook targets you with ads •Gmail finishes your sentences •Google Maps routes you to your destination •LinkedIn curates your homepage and recommends connections •Netflix recommends shows and movies •Spotify learns the music you love •Tesla’s Autopilot steers, accelerates, and brakes your car •YouTube suggests videos •Zoom automatically transcribes your recorded meetings”
“the science of making machines smart.”
“it only takes about 500 images or 10 seconds of video to create a realistic deepfake.”31 That means all those social media photos and YouTube videos your company shares could be used against your brand.”
“When you talk to Alexa, the machine uses NLP to understand and process what you are saying to it. Amazon also uses voice profiles so you can train Alexa to know who is speaking (i.e., speaker recognition). And when the machine talks back to you, it’s using NLG.”
“To a machine, something is either a 0 or 1. Something either is, or it is not. The machine is not actually intelligent. It is artificially representing intelligence by performing mathematical calculations at superhuman levels.”
“There are more than ten million marketers worldwide according to a simple LinkedIn Sales Navigator job function search.”
“The top ten individual use cases by score across all 5Ps were as follows: 1.Recommend highly targeted content to users in real time (3.96) 2.Adapt audience targeting based on behavior and look-alike analysis (3.92) 3.Measure ROI by channel, campaign, and overall (3.91) 4.Discover insights into top-performing content and campaigns (3.86) 5.Create data-driven content (3.82) 6.Predict winning creatives (e.g., digital ads, landing pages, calls to action) before launch without A/B testing (3.81) 7.Forecast campaign results based on predictive analysis (3.80) 8.Deliver individualized content experiences across channels (3.80) 9.Choose keywords and topic clusters for content optimization (3.78) 10.Optimize website content for search engines (3.77)”
“Prediction is the ability of machines to predict future outcomes based on historical data. With machine learning, predictions continually evolve and improve based on new data. The better the data that goes in (the inputs), the better the predictions that come out (the outputs).”
“Next-gen marketers know that in order to deliver the personalization and experiences modern consumers expect, marketing must become smarter. It must become marketer + machine.”
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