{"id":19270,"date":"2024-08-06T13:40:18","date_gmt":"2024-08-06T17:40:18","guid":{"rendered":"https:\/\/illumin.com\/?p=19270"},"modified":"2025-01-30T06:03:50","modified_gmt":"2025-01-30T11:03:50","slug":"introducing-ai-into-your-advertising","status":"publish","type":"post","link":"https:\/\/illumin.com\/insights\/blog\/introducing-ai-into-your-advertising\/","title":{"rendered":"How to introduce AI into your advertising in 2024 and beyond"},"content":{"rendered":"

In 2023 AI blew the tech world wide open with new and exciting innovations, but how can advertisers leverage AI’s power for their business in 2024?<\/span><\/p>\n

When ChatGPT flew onto the scene in 2023, every business clamored to get on board, but what they found is that introducing AI into your organization has more complicated implications than anticipated. That doesn\u2019t mean that they should give up, however. It just means that they need a better starting point.\u00a0<\/span><\/p>\n

Advertisers also need to consider that not all AI is good for their business in the long term. By finding the right starting point and focusing efforts on proven AI use cases, advertisers can leverage the power of AI without organizational pitfalls.<\/span><\/p>\n

What to avoid when introducing AI<\/span><\/h2>\n

When introducing AI to your business, there are <\/span>right and wrong ways<\/span><\/a> to start your transition. Since the generative AI boom of 2023, the category has earned its place in the controversy Hall of Fame. Not only is it massively unpopular among creatives, art lovers, and readers, but it is rife with scandal as deepfake images continue to plague social media.\u00a0<\/span><\/p>\n

This makes introducing <\/span>Generative AI a major risk<\/span><\/a> for any organization without keen oversight of the output. However, there are low-risk, high-reward forms of AI well worth an advertiser\u2019s time. Predictive AI, for instance, is a proven use case and an ideal starting point for organizations looking to start leveraging AI for their business.\u00a0<\/span><\/p>\n

Predictive analytics are the perfect AI introduction<\/span><\/h2>\n

Predictive AI, also known as predictive analytics, is free of much of the ethical baggage Generative AI carries, and it has a much lower barrier to entry. And the predictive analytics market is thriving; it\u2019s forecasted to grow into<\/span> a $64 billion<\/span><\/a> market by 2025.<\/span>\u00a0<\/span><\/p>\n

Advertisers looking to introduce AI into their business are best to choose a proven and profitable use case as their first step \u2013 that is what predictive analytics offer. It automates large-scale processes and has a massive impact on efficiency without over-hauling entire departments.\u00a0<\/span><\/p>\n

In short, Predictive AI does the un-fun work so advertisers can focus their energy on the parts of their job \u2013 creating. After all, why use AI to generate derivative art, when you can instead use it to crunch numbers and forecast consumer behavior?\u00a0\u00a0<\/span><\/p>\n

Predictive AI is the key to a successful transformation<\/span><\/h2>\n

Predictive AI is not a new technology; it doesn\u2019t have the same spotlight appeal as newer AI innovations, but it remains the most reliable and easy-to-adapt AI technology on the market. This tried and true technology gives advertisers an effective and low-risk method to leverage AI for their businesses.\u00a0<\/span><\/p>\n

There are two main methods in which predictive analytics can be used in advertising:<\/span><\/p>\n