Introducing semantic AI into our intelligent content platform

Arpita Maity 30 Nov 2021 6 mins
Today, we’re excited to announce the launch of semantic AI capabilities in Tridion – our intelligent content management technology platform.
Semantic AI focuses on the ‘meaning’ of information. It recognizes the complexity of language, how there are many ways to say the same thing, and how humans often search online using imprecise terms.
Until now, machines haven’t been great at dealing with ambiguity – which is a problem if your goal is to help people find information quickly and easily.
Semantic AI aims to simulate human-like understanding of what someone is really looking for – giving people accurate results fast. It’s the most reliable way to achieve the gold standard for search experience optimization and findability. And it's the secret to providing your customers and employees with personalized results and recommendations.
We think that’s worth getting excited about.
And we’re not alone. This new semantic AI capability is much anticipated by both our customers and the analyst community – because of the substantial employee productivity and customer experience benefits it delivers.
The benefits of semantic AI go way beyond basic search – it can help you capture the implicit, hidden or intangible ‘intent’ of a user – be it finding information or completing a goal in their user journey.
For instance, it offers smarter targeting of web content that will help customers feel better understood. Different types of traveller can be presented with different online suggestions for making their trips more comfortable or enjoyable – so families with toddlers would be presented with services and upgrades relevant to them, while adventure hobbyists would only see travel offers or services relevant to their particular niche interests. Semantic AI can do this automatically – instead of a web author having to manually specify ‘related content’ items on a page. In another example, semantic AI might dynamically suggest suitable insurance options to choose from – based on location, lifestyle and hobbies – without spamming every visitor with every possible option.
By better understanding people's intentions or desires we can rapidly guide them to their goals and give them better experiences – experiences that are much closer to a human-like experience.
In a previous blog on self-service experience optimization, we went into the details of how semantic AI can help provide better results by understanding the intent behind a user’s support query. But there are multiple ways semantic AI will benefit organizations and it can be used in many different use cases, such as:
  • Self-service experience optimization
  • Enterprise search-enabled workplaces
  • Digital experience enhancements
  • Recommender systems
  • Conversational interfaces
We will continue to explore the various use cases and how semantic AI can make a significant impact in a relatively short period of time in subsequent blogs.
By fully integrating semantic AI into Tridion, we take away a massive hurdle for adoption – namely the effort of incorporating these technologies in an author-friendly manner and not having to worry about maintaining yet another technology stack.
Semantic AI is a SaaS based offering, available for the various components of Tridion: Tridion Sites for Web Content Management, Tridion Docs for Structured Content Management, and Dynamic Experience Delivery for search and headless content publishing. It can be used both with on-premises and cloud-based deployments of Tridion.
A new module of Tridion, 'Taxonomy Space', allows companies to manage their underlying knowledge models based on open standards such as SKOS and EuroVoc.
The new semantic AI capabilities are available through an OEM partnership with Semantic Web Company, a market leader in this space.

To learn more about Tridion's semantic AI capabilities click here.


Arpita Maity

Director Product Marketing
Arpita Maity is Director of Product Marketing at RWS. She has a bachelors in Computer science engineering and an MBA in marketing and strategy. At RWS, she focuses on Content Management Technology Portfolio. Previously, Arpita held positions in various product and strategy roles at other multinational organizations, including Engage Process, Advicent, Microsoft and Cummins Inc. She regularly contributes to content management and artificial intelligence blogs. You can reach her on LinkedIn.
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