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. 

Contact Paul Parker-Johnson at pj@acgcc.com to discuss his new research on active AI, analytics and continuous optimization in digitally powered enterprises.