AI Is Now A Core Capability Of BI Platforms

Reflections On Qualtrics X4: AI-Powered Research Is Promising If We Stick To The Research Basics


Scientists estimate that insects account for 80% of all animal life on Earth. It’s no wonder you can’t walk even one foot into a forest without stepping on something crawling or being overwhelmed with buzzing and biting insects. While I am not ready to say that AI based functionality accounts for 80% of a typical enterprise BI platform, it’s increasingly hard to find a platform that doesn’t have AI capabilities. Specifically, in business intelligence (BI) platforms AI based functionality is now responsible for:

  • One-click advanced analytics (predictions, anomaly detection, top influencers, etc.)
  • Conversational interaction with data – natural language to query (NLQ), natural language generation (NLG)
  • Generative AI-based code generation
  • Semantic layer enrichment
  • Mining structured data (topics, numbers, entities, etc.) from unstructured data
  • ML-based recommended (and/or automated) actions
  • ML-based alerts when a new data pattern is detected

Over the past several years, Forrester has attached the descriptor “Augmented” to its coverage of the BI Platforms market segment. Given the centrality of AI in almost every BI  platform, we are dropping “Augmented” and going back to the plain old BI Platforms. AI or Augmented-With-AI will no longer be a separate market segment, but rather core evaluation criteria. We kick off the 2024 refresh of the BI Platforms Landscape in August 2024 with the eponymous Wave in the first half of 2025.

Questions? Happy to discuss further in an inquiry or guidance session.



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By stp2y

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