In a recent article on Autonomous Intelligent Systems (AIS) , Ajit Joakar described various features and characteristics of such systems, including associated technologies and research areas,… Read More »Five Principles of Safe Driving in AIS (Autonomous Intelligent Systems)
Explore how artificial intelligence, machine learning and related technologies influence the manufacturing industry, as well as how the manufacturing sector is adapting to increased digitalization of business processes, the adoption of digital twins, the implementation of 3D printing, and the move to mass customization.
The potential of blockchain in the manufacturing industry to deliver business value is high. The use of blockchain technology increases visibility and security in every… Read More »Blockchain Technology: The Future of the Manufacturing Industry
IT infrastructure is becoming increasingly complicated to safeguard crucial business data better and work on advanced data Management applications. Companies working in this business landscape… Read More »What is Cloud Data Management? A Complete Guide
Executing Industrial Internet of Things (IIoT) solutions is vital as the most competitive global manufacturing companies are becoming digital enterprises. Industrial Internet of Things (IIoT)… Read More »Features of IIoT (Industrial Internet of Things) Seamless Connectivity and Data Acquisition
Background Digital Twins are virtual representations of physical objects, and they can be connected with their physical counterparts. Through this connection, Digital Twins contribute to… Read More »An analysis of Digital Twin Applications across industries
Despite the technological breakthroughs in the advent of Industry 4.0, manufacturers seem to have taken a more gradual approach to adoption. In 2020, less than… Read More »Smart Maintenance – How SaaS Frameworks Turn Insights Into Actions Quickly And Efficiently
In this paper we prototype and explore how multiple agent-based models of robotic factories connected to other robotic factories (represented by their respective models) can be orchestrated using an all-purpose data platform – thereby simulating descriptive and predictive properties of a group of factories (a factory cluster). For the underlying prototype, NetLogo suite was used to do factory agent-based simulation (re-using “Robotic Factory” model ) while InterSystems IRIS data platform was used for NetLogo orchestration and factory/cluster end-to-end simulation.