Driving Digital Transformation Of Knowledge-Based Organizations Through Artificial Intelligence Enabled Data Centric, Consumption Based, As-A-Service Models

摘要

A recent shift in the way people live, work and develop knowledge demands unlocking insights from personal, organizational, and market data. Starting with ingestion, processing, visualization, interactions through insights, cross-team efforts, and decision-making processes, artificial intelligence-based IT support systems are no longer an option in day-to-day activities but an imperative for reaching today’s organizations’ innovation, efficiency, and effectiveness goals. A consistent automation framework for the needed infrastructure, data, IT assets, and life cycle management is highly related to sustainability, security, compatibility, compliance, and legal regulations. The biggest challenge remains the continuous progress in both infrastructure and software advancements. This paper addresses the challenges of modern businesses’ digitalization, states, and demonstrates the solution through flexible, consumption-based information technology services. The purpose is to accelerate the transition from capital expenditures to operating expenses, thereby accelerating innovation and enhancing agility, security, compliance, flexibility, and cost control. The ultimate goal is to use IT as a platform, shifting from an operations realm to an innovation driver, thus creating new revenue streams.