AI-Driven Enterprise Automation and Digital Transformation for Global Platform
TL;DR
The authors of this paper conduct a multi-dimensional analysis of AI-based automation and digital transformation in the context of an AI deployment scenario in a global platform, with an accentuation of the major challenges encountered in the implementation of artificial intelligence technologies.
Abstract
One of the key paradigm shifts underway at a very fast pace in the business environment is Artificial Intelligence. The authors of this paper conduct a multi-dimensional analysis of AI-based automation and digital transformation in the context of an AI deployment scenario in a global platform, with an accentuation of the major challenges encountered in the implementation of artificial intelligence technologies. We will discuss the unprecedented new opportunities that are created by the power of machine learning combined with NLP, RPA, computer vision, and generative AI to boost operational productivity, operational decision-making, and operational competitive advantage to create time-to-value faster and reinvent the digital business model. Using case studies drawn from the Fortune 500 as homework and empirical benchmarking studies, we examine the way these technologies are coming together to provide unexplored access to greater efficiencies, faster cycles of decision-making, and faster time to competitiveness, and finally how to reimagine the digital business model to create time to value. They have a transformation roadmap comprising five phases, a governance matrix, sector comparisons, and an entire package of KPIs to monitor the performance of your AI platform. Based on governance and a platform-first approach, AI is proving to deliver cost savings up to 35-60% in processing costs over 3 years, and up to 180-240% ROI in time-to-decision savings over 3 years.