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Revolutionising Manufacturing with Generative AI
Generative AI solution offerings for transforming the Manufacturing Industry by accelerating the design and development of parts and components in production for enabling Adaptive Manufacturing & Intelligent Data Analysis and Direct Automation for 24/7 Production.
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Safer Operational Environment
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Automation of ordinary tasks leading to focus on innovation more
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Condensed Operating Costs
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Improved reliability of Power Grids
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Optimised Control Centers for Switch Towers
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Automatic Selection of requirements using reliable operations
Generative AI's Role for Smart and Digital Manufacturing
AI Enabled Smart Manufacturing and Technology Solutions
Predictive Maintenance and IoT Analytics
It involves constant monitoring of the performance data and generates Predictive Analytics. Interpretation of data from hundreds of sensors performed. Understand the failure conditions, track the anomalies, and manage the production based on Real-Time demand.
Automated Quality Control
With Computer Vision algorithms, defects are detected immediately and further identify the root cause of the failure. By enabling better monitoring and quality control, the productivity of a single machine increased. Hence, System Monitoring and Planning allows the system to produce more products on the same number of devices.
Demand-Driven Production
Real-Time demand visibility is achieved by connecting the consumer Apps and IoT with the industrial IoT.Solutions for Combining all the processes such as Order Management, Procurement, Transportation Sourcing, and Inventory Management in a single, convenient platform.
How GenAI Transforming the Future of Business ?
Generative AI for Smart Manufacturing Applications
Accelerate the Adoption AI-powered Intelligent operations
Behavioural driven Predictive Maintenance
Predictive Maintenance optimizes employee productivity and planned downtime, involves high process transparency, increases product availability, fine-tuning production plans, and customization of component-wise maintenance schedules.
Machine Automation and Optimisation
It produces self-optimization and maintenance signals, determining Overall Equipment Effectiveness(OEE), Condition Monitoring, Production Performance Management, Optimised Semiconductor Manufacturing, Supply Chain Management, Asset Management, and Inventory Management.
Automatic Product Defect Detection
It involves an automatic determination of drivers in downtime and poor quality. It identifies production defects in Real-Time, Object Character Recognition, Object Orientation, Deformity Detection, Automatic Inspection System.
Data-Driven Research and Development
It involves understanding the customer needs and usage of products and further finds innovative trends in the market. It involves Descriptive Analytics and Diagnostic Analytics, various types of Bottleneck Detection involving discrete, purely data-driven, and Real-Time detection.
Productization of Data
It turns the utilization data into new customer service, production control, and Quality Control. It involves a continuous flow manufacturing process, custom manufacturing, and fixed manufacturing.
Energy Optimisation
It involves accessing a machine or an entire environment to optimize settings and run-time for reducing energy consumption.
Explore Related Insights
Edge AI in Manufacturing Industry Benefits and Use Cases
Edge AI is a type of ML architecture in which the AI algorithms process data at the network's edge (the location where data is generated, i.e., locally) rather than transferring it to the cloud. Because of the nature of edge architecture, it is ideal for eliminating inefficiencies in current systems. Let's look at some of the most important benefits of Edge AI in general.
24 March 2023
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