Magnolia DXP: AI to scale the digital experience

The incorporation of AI into business tools is becoming not so much a measure of innovation, but increasingly a business necessity. 

Digital Experience Platforms (DXP) have been integrating these artificial intelligence capabilities to provide their users with a series of tools and resources that facilitate and empower teams in different areas and aspects: 

• Reduction of time-to-market 

• Optimisation and automation of business processes 

• Agility in workflows 

• Cost optimisation 

• Content generation in tune with the brand image 

• … 

Magnolia is one of the market leaders in the DXP scene, recognised by the most prestigious ICT consultancies, such as Gartner, which places it in its magic quadrant:

AI capabilities Magnolia DXP

 

Magnolia DXP has long since established itself as a major player on the DXP scene. In its strategy to strengthen this position and continue growing, one of the lines it has opted for is the incorporation of AI into its platform, through modules such as Magnolia AI Accelerator, which integrates with the main AI services on the market such as ChatGPT, Dall-E, DeepL, Amazon Rekognition and Amazon Comprehend, offering its capabilities in an integrated way in the Magnolia DXP UI, i.e. without the need to leave the platform to make use of them.

Next, we will see what AI capabilities Magnolia DXP can offer us within its modular and composable architecture, which gives us the flexibility to couple or decouple the different functionalities offered according to our needs, whether they are one-off or long-term.

 

AI Accelerator

 

Magnolia’s AI Accelerator is a set of generative AI features that, according to the manufacturer, accelerate content creation, automate repetitive tasks and improve the efficiency of content and design.

 

Creation of pages and associated content

 

Based on a set of previously available visual components (e.g. banners, carousels, image+text, news listings, etc.), Magnolia DXP’s generative AI allows these components to be added to pages so that their content is automatically generated.

In addition, it is possible to create complete pages not only at the level of visual component structure, but also to include content based on a theme, specified by the content editors themselves.

 

 

Of course, Generative AI is able to generate images and textual copy from a brief description, even giving the text a tone of voice that defines the client’s brand.

 

Segmentation / Customisation

 

From a series of pre-defined segments (which can be expanded), the AI is able to generate variants of the components that make up the pages, such that these variants, and the auto-generated content on them, will respond to the segments chosen by the publishers.

 

Optimisation and classification

 

Contributing metadata such as SEO and Open Graph is often an arduous and repetitive task that requires publishers valuable time. With AI Accelerator, this metadata can be generated based on the page content itself.

In addition, AI Accelerator facilitates image tagging (metadata) through automatic recognition. All this contributes to an improvement and optimisation of search engine results.

 

Translations

 

The AI allows these contents to be translated directly, with the possibility of choosing specific pages or sets of pages, selecting the languages to be translated. Once the translation is done, the editors receive a notification so that they can review the new texts and they can be approved and published.

 

AI Contents

 

This extension is an alternative to the AI Accelerator extension in terms of generating texts (redactions) and images. It uses LLMs (Large Language Models) such as GPT (OpenAI and Azure OpenAI). Specifically, it allows to generate texts from a description specified by the editors, and, subsequently, it is possible to tell the AI to edit (modify) the generated text based on instructions also defined by the editors themselves.

AI Training

 

In this case, this extension integrates with LLMs such as GPT (OpenAI and Azure OpenAI) and allows new models to be trained based on specific content managed in Magnolia DXP (the client’s own) so that the content generated by the AI is more relevant and adapted to the client’s specific theme and brand.

 

Gen AI Search

 

The module (extension) integrates with Magnolia’s workflow to enable conversational website search for all Magnolia content types. This allows a user’s query to be answered accurately using only the content available on the website and other Magnolia content types approved by the company.

 

Conclusions

 

Technology is at the service of all of us to make our lives easier and allow us to spend time on what really matters and interests us. Magnolia contributes to this mission by offering AI capabilities that streamline and optimise publishers’ work, workflows, customer experiences and, ultimately, companies’ business. Thanks to its modularity, Magnolia offers a DXP that facilitates the adoption of powerful AI solutions at contained costs.

Author: David Caviedes