Experience the new digital encounter when AI and headless technology intersect. Explore the article to get the latest insights.
“Time will tell how digital experiences will change as AI and headless tools converge.”
by Darren Guarnaccia
Over the last few years, AI and headless technologies have been on similar trajectories. Both technologies serve as solutions for modernizing and transforming how companies deliver fast and dynamic experiences for the web, mobile, IoT, etc. However, as asked in a Forrester article, can the two technologies work together?
The better question to ask—or, the more to the point trajectory to watch—is how and how soon they’ll merge.
Understanding headless and AI today
Brands are currently using AI to add appeal to customer experiences, such as creating chatbots that automatically personalize content to a user’s profile. The number of use cases is minimal, however.
As for headless, an integral step in retailer’s transformation strategies, businesses have been slowly migrating to composable platforms. Coupled with headless technologies, those platforms offer a clean source of content input that can blend with other tools. Like those for AI, use cases for headless and composable are growing in volume, promising to surge when they begin to collaborate with each other.
Brands are already experimenting with bringing content and AI together in simple ways, but one element is missing: context. Even though AI can improve and optimize content from sources like headless CMSes, AI is invariably more impactful if it can harness data to show what success looks like as well as how the content will be consumed and by whom.
Once brands can harness both the content and context of experiences, brands will unlock new possibilities to leverage the convergence of headless and AI technologies.
Identifying AI opportunities ahead
Assuming that brands can bring content and context together, AI presents a host of new possibilities, including:
- Automated content: Generative AI can automate the adaptation of content for various uses and derive content variations for assorted segments, locales, and audiences.
- Fast workflows: AI can identify the best way to construct a digital experience based on that experience’s purpose or desired outcome. It can then automate the creation of asset types and layouts for digital teams, dramatically speeding up cycle time.
- Data analysis: AI can ingest and unify content and data from multiple sources and vendors, in turn generating accurate reports along with actionable insights and recommendations.
Envisioning headless and AI for tomorrow
Even four years ago, a Juniper Networks study found that nine in 10 companies wanted to leverage AI as much as possible. To achieve this, these companies must ensure their content and data sources are clean and well structured. Composable technologies enable that to happen while also making it possible to blend content and contextual data together as input sources for generative AI. Additionally, by using modern composable tools, headless and customer-data sources can guide AI to deliver optimal experiences from AI sources.
With AI and headless technologies working in unison, brands will see major improvements in the performance of the digital experiences they create, gaining time to fine-tune the customer journey and satisfy ever-burgeoning consumer expectations.
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