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…

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…

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…