Qikspaces founder, David Smith has been researching the following topics for 20+ years:
1) AI framework structures -- see see all the datanot just 15% of it. Which is a game changer for the data analytics world and realtime AI. Developed a data model that allows the visualization of product and service alternatives based on x-dimensions, allowing the cross-reference of like functional items and the substitution of similar function items.
2) Industry database structures -- facilitating disaggregation of previously banded data and modeling it forward to be utilized in ML and AI applications, in some applications requiring synthetic data. Systems were deployed in Manufacturing, Transportation, Logistics, Engineering, Construction, Research, Banking, Commodities, and Textile industries
3) Data Access and Retrieval -- Contextual Relevance in data retrieval & storage and human-machine interactions. In 2012 a research project was started to explore how to augment human capabilities with modern data processes. The volume of information is ever-increasing, the velocity of information is increasing, the disparity of information is increasing, tenure of employees is decreasing and need for company agility is increasing. The research had three main objectives: First: find a way for humans to access billions of pieces of information at the same time they could currently access hundreds of pieces of information (achieved thru multi-dimensional access methodologies). Second, enable AI and ML models to efficient access data, contextualize it and process it. Third, develop an interface paradigm that enabled immersive interaction with data/situations/problems and enabled augmentation and edge case detection (achieved thru AR & other visualizations). Third, reduce the cost and complexity of deployment so that information between all parties large and small can flow freely, with the understanding that the more real information parties have, the better decisions can be made (achieved thru the democratization of data with Qikspace)
4) Forecasting framework -- Developed algorithms to more accurately predict future outcomes based on contextualized current data. Models have proven to accurately project outcomes up to 15 months in advance.
5) Project controls -- Developed project control software used to implement projects, track projects, and diagnose troubled projects, project sizes ranged from $m to $mmm.
6) Productivity -- Written two books on productivity and also produced research findings on various situational, compensation, and environmental impacts on productivity, ability to execute, risk-taking, and logistics.
David A. Smith
Managing Partner
