Transforming the Building Insurance Industry with Data Engineering
In property underwriting, insurance carriers and real estate firms wield a powerful tool – data. At the heart of their decision-making process lies a treasure trove of information that delves into the property’s history. This data-driven approach is pivotal for commercial underwriting purposes, allowing these key players to make well-informed choices regarding coverage and risk…
How Computer Vision is used for Defect Detection and Quality analysis in Tyre Manufacturing
Computer vision is a powerful tool that can be used to improve defect detection and quality analysis in tyre manufacturing. An automobile tyre is a crucial component of a vehicle as it is the only point of contact between the vehicle and the road. The tyre not only supports the weight of the vehicle but…
Document Analysis & Process Automation with Data Science
What about it? Any business process that revolves around manual work, varied data sources and disconnected systems, gets trapped in a cycle where more people are dealing to do with manual troubles. It involves high manual cost of labour, data entry errors which can impact the company’s processing times, compliance, customer retort and ultimately the reputation…
IIoT based Predictive Maintenance 4.0 (Part 2)
What are the limitations of traditional maintenance techniques? Traditional predictive maintenance is more of a reactive/condition-based monitoring system. Conditions are manually defined by alarms/warnings generated by some standard assumptions. If those alarms are triggered, operators are alerted and actions are taken accordingly. However, it sounds simple but there are significant limitations to such a traditional…
How can we solve High-Speed Printing Defect Detection?
Product packaging covers are printed with branding and marketing information (refer to Figure 1). A specialised large-scale printing system prints on the packaging material rolls at high speed, which run several meters in length. Any improper setup, a minor misalignment, or the printing process noise itself can introduce defects while printing. These defects have no…
How to Use AI and ML to Improve Your Supply Chain Demand Forecasting
Understand how AI and ML can help with supply chain demand forecasting. In the era of modern technology, the competitive paradigm among organizations is changing at an unprecedented rate. Many organizations today have been caught off guard by supply chain disruptions and unexpected increases in demand. Meeting immediate market demand is essential for maintaining a…
IIoT based Predictive Maintenance 4.0 (Part 1)
Predictive Maintenance for Domain-Specific Pumps through Intelligent Asset Farms Management and Monitoring Introduction Predictive maintenance (PdM) with the industrial internet of things (IIoT) for digital assets has generated significant interest in the oil and gas industry (OGI) like many others. The OGIs are interested in predicting the field-specific specialized equipment pump (asset) failures well advance…
Sentiment Analysis with Topic Modelling
What is it Sentiments, feelings and emotions are an integral part of human nature. Over 2.5 quintillion bytes of data are created every single day. Twitter itself generates 500 million tweets every day. Sentiment Analysis deals with examining the study of textual data like posts, blogs, reviews, etc., expressed by users regarding their views and opinions…
IIoT based Predictive Maintenance 4.0 (Part 3)
How did we develop a comprehensive platform for PdM? The amount of data collected by the digital assets farm is humongous. To acquire, store, analyze and visualize such data using traditional software may not be efficient and scalable. Accurate prediction of failure events well advanced in time requires more powerful and robust ML algorithms. There…