Asif Gill Blogs

AI-enabled Intelligent Enterprise  There is an increasing interest in Artificial Intelligence (AI)  systems for decision making, productivity gain, better quality products and services etc. There is a fear or assumption that AI systems will replace human. We should not assume that AI systems will replace humans, rather we can look at them as our agent or  assistants.  Human is the "Principal" who delegates the tasks to the AI system that is called an "Agent". Thus, there is a principal-agent relationship (delegation) between the human and AI system.   AI Co-pilot There are several facets of AI systems, in particular the AI co-pilot system that can assist humans for carrying out tasks on their behalf. These AI co-pilots can be embedded across the enterprise value chain. This article discusses the AI-enabled intelligent enterprise and the applicability of AI co-pilots across the connected core value chain of (1) strategy, (2) architecture, (3) development and (4) oper

AI System AI system receive inputs (data), process them via data processing applications, which can use AI algorithms for further advanced processing of data or intermediate outputs for generating final outputs for desired outcomes. These outputs could be classifications, clustering, contents, decisions, detections, insights, predictions or recommendations. There are several examples of AI systems such as Autonomous Vehicles, Chatbots,  Digital Assistants, Face Recognition and Voice Recognition etc.    A. AI System Architecture AI system architecture consists of at least three interconnected layers and underpinning components: applications, data and algorithms.   Figure 1 . AI System Architecture 1. Application  AI system has AI enabled or augmented or embedded applications that receive initial inputs such as data and apply data processing programs. Based on the processing needs, it makes the data ready for further advanced processing using AI algorithms. As such application captures a