In this interview, Atanas Kiryakov, President at Graphwise, traces his journey from AI research in the 1990s to founding Ontotext and later leading Graphwise through a merger with Semantic Web Company. He explains how knowledge graphs connect data across silos, enrich proprietary data with domain knowledge, and enable automatic reasoning to improve AI performance.
Atanas highlights how Graphwise’s scalable solutions, such as GraphDB and PoolParty, address the challenges of large-scale deployment and knowledge modeling, balancing complex requirements while ensuring scalable, trustworthy enterprise solutions. He describes how semantic technologies maximize AI investment ROI by enabling data discovery and reuse. To address common integration challenges, Graphwise offers end-to-end solutions and implementation approaches that reduce specialized staffing needs. Looking ahead, Atanas predicts that knowledge graph technology will soon become mainstream, powering both embedded and specialized business solutions across industries.
