4. Automated content generation
Personalization demands relevant content - lots of it and at an accelerated pace. With the explosion of digital touchpoints, even seasoned life sciences marketers struggle with content marketing at the required pace.
This problem is far too common in other industries.
85%
Marketers are under
pressure to create assets
or deliver campaigns
more quickly
71%
Marketers revealed they
now need to create ten
times as many assets
as before to support all
customer touchpoints
Thanks to technologies like Natural Language Generation (NLG), life sciences marketers can now let AI ease some of their content generation load.
NLG, a part of NLP, studies large datasets and converts them into plain natural language at an extraordinary scale, accuracy, and pace. NLG models can be trained to generate content for pre-defined templates, turning structured data like numbers, tables, charts, and graphs into descriptive reports aligned with the brand’s voice. It works best for long-form content when humans are an integral part of the process.