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AI transformation & NLQ solutions for Manufacturing
AI transformation & NLQ solutions for Manufacturing
Harness the power of AI with RecoSense to drive faster growth for your manufacturing business and stay ahead of the competition.
Scope of AI in Manufacturing
AI is a game-changer with the potential to drive transformation across the length and breadth of the manufacturing industry. AI-driven machines are paving an easier path for the future by providing many benefits. They offer new opportunities, enhance production efficiencies, and bring machine interactions closer to human interactions.
In the context of manufacturing, AI use cases are centered mainly around the following technologies:- Machine Learning: It is the ability of computer algorithms to improve automatically through experience and use of data without having to be explicitly programmed by humans.
- Deep Learning: Deep learning, a part of machine learning, is inspired by the human brain. It uses artificial neural networks to analyze and interpret images, text, and sounds. It is a key technology behind driverless cars and is also used to manufacture medical devices.
- Autonomous Objects: They are AI-based systems, such as robots or self-driving cars, that can function without human direction and make decisions independently.
Equipment Maintenance Auditing System
RecoSense is a data engineering firm with an aim to empower all businesses with AI. It focuses on predictive analysis, natural language processing and computer vision to help derive innovation and growth. ReconSense AI solutions can transform manufacturing businesses in the following ways:
Decrease in machine downtime
Data-driven production
Decrease in machine downtime
Increase compliance with regulations and inspections
Increase in labour productivity
Reduce production time
Faster turnaround time
Improve operational efficiency
Timely anomaly detection
Use of predictive maintenance to forecast accuracy
Automation of workflows
Early detection of defects
Use Cases
Equipment Maintenance Auditing System
RecoSense’s Intelligent AI solutions automate the audit process by extracting and co-relating key entities and metrics. Auditors can work smarter by using a predictive model to grade various risks at a suitable scale.
Energy Management and Monitoring System
AI-based Energy Analytics Module acts as part of EMMS to track and monitor daily energy consumption. With proper insights, one can plan saving initiatives and reduce energy bills.
Centralised Data Intelligence Platform
RecoSense’s AI solutions help create a Uniform Data Repository for acquiring and processing data. It also helps to apply predictive modelling across data pipelines and access management.
Comparator Engine
RecoSense provides a data validation framework to compare large volumes of data with benchmarked values, historical data and third-party data. The comparison is beneficial to detect deviation, recognise patterns and measure the probability of future outcomes.
Analytics System
RecoSense AI solutions help automate and streamline repair activities, acquire device inputs, build insights and visualise end-use cases in custom dashboards with its deep analytics system. When data gathering becomes less labour intensive, data redundancies can be reduced. In addition, with more data on hand and AI-driven analytics, the workflow becomes easier to manage.
Alert Mechanism
The alert mechanism is another wonderful feature of AI. Anomaly detection helps determines deviations in real-time performance metrics. As such, responsible authorities can immediately act on the issue and correct the situation. AI also determines the variation in plans v/s actuality and recommends ideal solutions.
Predictive Modelling
AI uses data mining, probability, and statistical modelling to forecast specific outcomes. Forecasting in the manufacturing industry is mainly related to energy consumption, raw materials, machine costs, time and effort, probability, etc. Predictive modelling can effectively tackle pain points in manufacturing, improve operations, reduce costs and increase revenue.
Technologies Used
NLP
Signal Processing
Simulation
Machine Learning
Time Series
Cognitive Intelligence
Data Integration
Data Pipeline Management
Blogs
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