Article

Connecting the AI Dots: Radical Scenarios for Business Automation

Posted March 23, 2018 in Business Technology & Digital Transformation Strategies Cutter Business Technology Journal
Borys Stokalski

The authors emphasize the need to connect and collectively harness advances in different elements of AI and outline autonomous business entities as examples of convergence of AI. The authors discuss the application of AI, not only to improve business operations, but also for product adaptation and to enable and support business model innovations, thereby making the entire business “smart.” They also explore “data labs” and “data factories,” which facilitate business model innovation. Finally, the authors argue that while AI-driven, radical automation of businesses will replace human work in some areas, humans will remain relevant in others.

About The Author
Borys Stokalski
Borys Stokalski, a Cutter Consortium Senior Consultant and partner in the digital business design studio RETHINK, is a seasoned advisor, manager, and investor with over 25 years of experience in building and managing one of the leading consulting and IT solution implementation companies on the Polish market, recently acquired by a European Top 10 software integrator. Today, Mr. Stokalski remains an active advisor and investor focusing on the… Read More
Bogumil Kaminski
Bogumil Kaminski is Head of the Decision Analysis and Support Unit at the Warsaw School of Economics and Adjunct Professor at Data Science Laboratory, Ryerson University, Toronto. Dr. Kaminski has authored over 50 research articles on theory and business applications of prediction, simulation, and optimization methods. During the last 15 years, he has delivered over 100 data science projects for the largest Polish corporations. He can be reached… Read More
Przemyslaw Szufel
Przemysław Szufel is an Assistant Professor in the Decision Support and Analysis Unit at the Warsaw School of Economics, Poland. His current research focuses on distributed systems and methods for execution of large-scale simulations for numerical experiments and optimization. Dr. Szufel is currently working on asynchronous algorithms for the parallel execution of large-scale computations in the cloud and distributed computational environments.… Read More
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