Always On, Active Analytics and AI for Superior Performance in Digitally Powered Enterprises
Digital transformations always focus on enhancing organizations' performance in some measurable way. Improvements at the task level include gains such as increasing the quality of a manufacturing process or improving safety for people and materials when robots are involved. Larger organizations’ performance can also be enhanced by using digitally powered processes with a broader scope, such as in a group of similar factories or at the level of an entire business unit or whole company.
Paul Parker-Johnson (PJ) leads ACG’s research on active AI, analytics and continuous optimization in digitally powered enterprises. Sectors receiving special focus are manufacturing (multiple subsectors, including process and discrete), logistics/distribution/supply chains, energy production/distribution and healthcare. His research considers enhancements to end-system designs and the software applications that manage them. Improved results from innovations in ICT supporting OT including network, edge/cloud compute, and storage/data management are analyzed. Special consideration is placed on linking whole organizations’ operations via data models, APIs and KPIs. A unique focus is analyzing the impact achievable in using always on, active AI and analytics pipelines focused on optimizing results and exploring opportunities for achieving even more.