Qikspace and its Newton AI framework allow you to find what you need when you need it, with direct options available, possible alternatives, and influencing parameters enabling you to "know what you don't know". Qikspace has proven the capabilities of this technology within targeted industry segments. How did we accomplish this:
1) AI can clean and structure the other 80% of your data. Why is this a game changer for the data analytics world? Contextualization and implementation for the commodity marketplace: Qikspace has developed a data model that allows the aggregation of commodity visualizations, itemizes them into their assembled use-case scenarios, then allows the cross-reference of like functional items and the substitution of similar function items. In addition, it facilitates the optional alteration of the alternatives thru the dimensional/characteristics.
2) Created an industry database structure that allows disaggregation of previously banded data (legacy data) and modeling it forward (some would call synthetic data) so it can be utilized in ML and AI learning & applications. This was deployed in Manufacturing, Transportation, Logistics, Engineering Construction, Research, Insurance, Commodities, and Textile industries
3) Contextual Relevance in Human Interactions. In 2012 a research project was started to explore how to augment human communication, interaction and search capabilities with modern data processes. The volume of information is ever-increasing, the velocity of information is increasing, the disparity of information is increasing while the tenure of employees is decreasing. The research had a few main objectives: First: find a way for humans to access billions of pieces of information at the same rate they could previously only access hundreds of pieces of information (achieved thru multi-dimensional access methodologies). Second, develop an interface matrix that enabled immersive interaction with data/context/problems and enabled augmentation and edge case detection (achieved thru AR & other visualizations). Third, reduce the cost and complexity of deployment so that information among 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 outcomes based on contextualized current data. Models have proven to accurately project outcomes up to 15 months in advance.
5) Project controls. We have developed best practice project control software used to implement projects, track projects, and diagnose troubled projects.
6) Productivity. We have written a books on productivity, & data disagregation, also concluded research findings on various situational, compensation, and environmental impacts on productivity, ability to execute, risk-taking, and logistics.
David A. Smith
Founder & CTO
