LSEG launches Model-as-a-Service and welcomes Societe Generale to its model marketplace ...

A good analytical model should satisfy several requirements, depending on the application area. A first critical success factor is business relevance. The analytical model should actually solve the ...

A technical paper titled “Secure Run-Time Hardware Trojan Detection Using Lightweight Analytical Models” was published by researchers at National University of Singapore and Universitat Politecnica de ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. There are many reasons for this poor success rate, one of ...

"Analytical theories of this process have been lacking because disordered environments are complicated. The obstacles may be arranged randomly, and bacteria interact with obstacles in complex ways," ...