Forces of change
Ubiquitous, high-speed connectivity.
Smarter, faster devices.
The falling cost and size of computing, storage, and sensors.
Improved augmented reality, virtual reality, wearable, and voice interfaces.
More sophisticated AI and machine learning.
One, they need to be highly extensible, with frequently updated APIs, connectors, and integrations that account for new technologies as they appear.
At the presentation layer alone, that means supporting augmented and virtual reality displays, context-aware wearables, and AI-enabled voice interfaces (plus anything else that emerges).
Two, they need to deliver personalized, anticipatory, and holistic user experiences, seamlessly across every channel, for everyone.
In short, CMSs need to help marketers deliver context marketing at scale. And that means much more content, delivered to more specific audiences, at more specific moments.
Doing this manually today is impossible, and in five years, that’ll probably still be true. Instead, CMSs will need to leverage AI and machine learning to automate the heavy lifting.
Is your CMS extensible enough?
Your CMS needs to closely integrate with peripheral systems, like customer experience management platforms and e-commerce solutions.
Do you have the right CMS architecture?
Automated content production works by teaching machine learning algorithms about the properties of specific content objects. This is much easier with an object-based CMS architecture.
Is your data ready?
Machine learning algorithms depend on clean, structured, tagged, and organized data to be effective.
Can you meet the processing requirements?
AI-driven processes are computationally expensive. Robust, scalable, and flexible cloud resources are prerequisite for agile, affordable experimentation in machine learning.
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