Jaan Übi “Towards an Era of AI in Data Driven Decision Support - SensusQ's Winning Mind”

From 28 June to 1 July 2026, the University of Tartu Institute of Computer Science organised the 17th International Baltic Conference on Digital Business and Intelligent Systems (DB&IS), a biennial international event dedicated to advancing research, innovation and practice across the broad spectrum of digital business, intelligent systems and data-driven technologies. During the event, four keynote talks were given, and recordings are available online. ------ Abstract The two constraints facing the dual-usage decision support automation agent, when compared to yesterday, have remained unchanged. Firstly, in an adversarial situation, both parties have equal amounts of one resource, namely, time. Secondly, regarding cognitive overload, once data collection is in place, the fact remains that, as we take OSINT (Open Source Intelligence, e.g., X/Twitter or Telegram) clues, for example, in established worst-case situations, critical information has taken approximately two weeks to surface in the public domain. This processing stigmergy, evident in the inverse of information cascades from a distributed collective filtering process, owes a lot to the large number of participants scanning the information. But what if the discovery is even more complex, stemming from the combinations with other, importantly, proprietary "intelligence's" - signals intelligence, human intelligence, image intelligence, geo intelligence, etc.? How to create a data-driven decision support tool for such a purpose? SensusQ puts forth an AI solution that, having its primary constituents named after the functions in the human brain, solves the problem by addressing the central, top-down, information processing requirements, and by discovering, bottom-up, the "unknown-unknowns" (or things we don't know that we don't know). Winning Mind has fast, slow, memory and executive AI streams that adhere to the constraints and provide the solution.