Artificial intelligence is advancing at a record pace. Benchmarks set for deep learning models that were expected to be broken in decades are now being broken in months. By 2029, we could see the creation of superintelligent systems that surpass the intellectual capabilities of any single human. 

We don’t have to wait until 2029 to witness AI’s impact, with the life sciences marketing industry already seeing AI models transform its data management, messaging, and content creation methods. 

Solving Data Overload

One struggle for most life sciences marketing departments is that they are overwhelmed by large datasets. AI-powered tools can synthesize massive amounts of data and analyze key trends that humans may have missed.

In one example, a leading pharmaceutical company used an AI-based system to update its existing manually updated Excel-based model, and auto-classify medications and products into market-related categories. Its users were then able to create custom reports and rapidly incorporate new data points, resulting in a 90% reduction in processing time and 50% reduction in manual labor. 

Crafting Personalized Messaging

Life science marketers can use AI products to create personalized content for different audiences. Ad campaigns can now be created based on the pages or emails a prospect has interacted with before, making marketing feel more personal and less generic. 

AI platforms are also being used to analyze customer data and create targeted email blasts, allowing customers to receive relevant emails on topics they’ve expressed interest in previously. Marketers can now segment and target certain audiences, creating personalized messaging based on individual customer needs. 

Optimizing Content Creation

The content creation process within the life sciences industry is typically a tedious multi-week process with multiple discussions between a company and a creative agency. 

Natural language models can significantly shorten this timeline by creating first drafts or developing creative concepts for marketers to review prior to sending to agency partners. In some cases, content creation costs for marketing teams were cut by 30%-50%. 

AI’s pace of progress will be rapid and revolutionary. It’s vital that life sciences companies be proactive in staying informed about AI’s advancements and identify ways to incorporate it into their marketing plans. 

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To read the full white paper on this topic click here. What thoughts do you have on AI’s future in life science marketing? Drop us a note or join the conversation on X (@ostrohealth).