RichRelevance Launches Xen AI, Open AI for Experience Personalization

Jun 21, 2018


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RichRelevance, a provider of experience personalization, announced RichRelevance Xen AI, the next generation of open and explainable artificial intelligence (AI) focused on experience personalization. The culmination of more than ten years of AI and machine learning experience, Xen AI delivers several breakthrough capabilities that allow digital leaders to perfectly blend human expertise and machine intelligence to deliver differentiated experiences at global scale - with confidence and control.

AI augmentation, the combination of human and artificial intelligence where both complement each other, is expected to create $2.9 trillion of business value by 2021 (Gartner, 2017). However, most personalization AI solutions today are “black box” - architected for automation, not augmentation - and do not provide visibility into how they arrived at a particular outcome. These black box solutions tend to be simplistic, and do not meet the needs of enterprises who require business controls, visibility, and extensibility in order to achieve the best outcomes from AI.

Xen AI aims to open the black box with the debut of Experience Browser, Data Science Workbench, and Experience Optimizer to provide transparency in decisions, extensibility of algorithms and a balance of automation and business control. Xen AI features more than 300 strategies to help business leaders detect and respond to unlimited digital signals in real time, using a full spectrum of algorithms and multi-context AI to deliver mass personalization at scale.

The Experience Browser

RichRelevance says Experience Browser is an industry first, that provides business users instant visibility into the performance that Xen AI is driving, and full transparency about why and how this optimal experience was chosen for a given individual. Unlike traditional tools, the innovative Experience Browser UI overlays right on top of customers’ websites providing valuable insights in context of where the personalized experiences are being displayed.

The intuitive visual overlay allows the user to audit AI decisions with a single click, including profile, recommendation summary, segment, rules, and strategy evaluation.

Key features include:

  •     Inspect dynamic segments & user graph for individuals based on their behavior
  •     Visibility into strategies that drive every decision on every placement
  •     Rule selection evaluation – segment, context, type, etc.
  •     Overall placement performance – attribution, views, clicks, revenue, etc.
  •     Deep links to Experience Insights for drill down real-time reporting and analytics
  •     Content performance rankings and more

The Data Science Workbench

With the new Data Science Workbench, RichRelevance says it provides a full lifecycle management system that allows data scientists and marketing technologists to deploy, test, and iterate their own experience personalization insights and strategies.

The Data Science Workbench (DSW) enables RichRelevance clients and partners to leverage and extend their own data science, bring in data from any source, and incorporate custom models and strategies. DSW Modules include:

  • Model Builder: Leverage RichRelevance’s big data store of user behavior to create new models, micro-segmented decisioning, business rules that combine marketing and commerce domains
  • Model Importer:  Bring offline analysis to life online; improve the testing and explainability of existing algorithms by bringing a client’s own work into Xen AI
  • Strategy Publisher: Leverage one of the world’s most advanced AI stacks to deploy and run strategies at scale