The pursuit of hidden truth
Truth remains elusive in the constant deluge of information across organizations in today’s knowledge economy. Early-stage information technology problems have shifted from the need to build basic capacity to generate, share, store data, to actually making use of the glut of digital information available. The overwhelming challenge of too much information calls for advanced analytics and decision-support tools to deal effectively with constantly flowing, dynamic, multi-source data in its multiple types and forms. In this new reality, essential information can become obscured in a sea of irrelevant red herrings and false positives. Often the opportunity to discover and correlate associated data into meaningful patterns relevant to consumer needs and contexts is limited or lost altogether.
Plain facts often hide in plain sight
Analytics is the science of discovering relevant patterns in data. Intuidex’s approach leverages Higher Order Learning (HOL) statistical models and machine learning and combines them with the ability to harness ground truth domain knowledge of subject matter experts. The power of solutions depend directly on the ability to filter irrelevant data from relevant nuggets that lie hidden in plain sight amongst the noise and clutter. Intuidex’s Higher Order Learning (HOL) technology has been repeatedly demonstrated to enable better pattern discovery in many sectors including business applications, defense, intelligence, homeland security, law enforcement, public safety and counter-terrorism. Intuidex is committed to effective innovations that drive positive impacts because Decisions Matter™.