Gartner® Hype Cycle™ for AI 2025 
 

From GenAI Hype to Real Impact: Why Knowledge Graphs Matter Now More Than Ever

•  Investments in AI are shifting from GenAI hype to fundamental AI innovations e.g. AI-ready data
• Knowledge graphs continue to gain ground
• eccenca is once again recognised as a sample vendor for knowledge graph technology

According to the latest Gartner® Hype Cycle™  for Artificial Intelligence “Enterprises are directing investment toward AI-enabling capabilities — from high-quality, contextualized data to responsible AI governance — to ensure consistent, scalable delivery”.
Thus, it’s not suprising to us, that knowledge graphs continue to lead the way towards the plateau of productivity. They offer reliable logic and explainable reasoning, in contrast to the fallible but powerful predictive capabilities of the deep learning techniques used by GenAI. Knowledge graphs are not only a powerful technology, but also a driver and foundation for many other AI technologies. Companies need to start investing in knowledge graph technology now to avoid being left behind.

“The next step in AI requires causal AI,” Gartner® states in the latest Hype Cycle™ for AI. "Current deep learning models, especially large language models (LLMs) and reasoning models for GenAI and AI agents, have limitations in terms of reliability. An AI approach that complements e.g. LLMs with causal AI - especially causal knowledge graphs - offers a promising way to bring AI to a higher level."