AIASHI

Volume, velocity, and variety describe information assets. But other dimensions, such as veracity, variability, and value, are essential. This requires new mathematical frameworks, scientific procedures, automated analysis, and learning methods to manage Big Data growth and complexity. We are AIASHI, Artificial Intelligence as Human Intelligence, a research project at Liege University, and we believe that "without human intelligence, artificial intelligence is meaningless." We develop novel analytics based on a new ML and NLP core process to unlock the potential of information to drive decision-making. We innovate in efficiently analyzing hierarchical and temporal structures and correlations among topics, entities, events, and relationships using advanced unsupervised learning techniques for topic detection, emerging weak trends analysis, scenario building, document classification, and social network profiling. We leverage massive volumes of heterogeneous data in unstructured text, audio, video, and social media formats. Benefits for organizations: • Strategic and operational decision-making • Weak signal detection and scenario building • Risks and opportunities management • Unsupervised topics discovery and profiling, incl. OSINT • Real-time analysis of hierarchical, temporal, and relationship between topics/entities/events • Disclosing explicit and implicit relationships between topics and entities • Easy iterative reformulation of the research question • Ease of scaling: processing large datasets across distinct domains • Organically expand the work capacity Our current use cases cover the following: • Corporate strategic intelligence analysis • (Cyber)security • Document classification and management, taxonomy • Healthcare and life sciences • Fintech