What are the Challenges for Insurance Industry? The three major Challenges for Insurance Industry - More Insights from Existing Data. Adding New Sources of Data into Existing Models. Building Real-Time Decision Analytics Platform for Predictive and Prescriptive Analytics. Actuarial and Underwriting Analytics Predictive Modeling used for actuarial and underwriting analytics. It is a process whereby statistical and analytical techniques identify...
16 March 2022
Introduction to Energy Supply and Demand Forecasting Forecasting of Energy Supply performs a vital role in the electric industry, as it gives the basis for giving decisions in power system planning...
HR challenges to track employees The HR department of every organization performs multiple functions like recruitment of employees, employees onboarding, making policies of employees, maintaining...
Why are Employees leaving? Every organization wants its valuable employees to be a part of their organization for a long period. Still, when many employees start leaving the organization, it will be...
Why Property Valuation is necessary? In real estate investing, investors invest in property and then give those properties on rent to get income and profit. Investors are often confused while...
Seasonal Analysis for Power Generation Wind Power Generation is an eco-friendly yet costly project. The customer will spend a decent amount of cost on land, pieces of equipment, etc for the project,...
Decision Analytics for Retail Site Selection Retail store site selection is a strategic decision regarding customer satisfaction and profitability to changing market conditions and intense...
Decision Analytics for House Location Selection Everyone has various priorities when it comes to purchasing a property. People will be concerned about safety, accessibility, and the availability of...
What are the challenges for investment in Real Estate? Investors often become confused with evaluating an investment and the industry acronyms. According to the property and investment goals, metrics...
Challenges to find Right Time to Invest While investing, real estate investors don't know the right time to invest in. Sometimes they postpone the investment and pay more as the property prices...
Challenges of Real Estate Investor It becomes difficult for an investor to compare all the properties and check for the trendy location for property development. Moreover, they also got confused...
Introduction to Food Security India currently has the world's biggest malnourished people, at roughly 195 million. Climate change affects crops and livestock, fisheries, forests, and aquaculture. It...
Overview of Building ChatBots with Deep Learning A ChatBot is an implementation of Conversational Interface Intelligently comprising of Machine Learning, Deep Learning as their backbone. ChatBots...
Why ML Platform in Consumer Technology Industry? In the consumer technology sector, the customer’s primary requirement is carrying cost in category and inventory. Real-time and channel support for...
Why is AI in Cyber Security Industry Necessary? In the Cyber Security sector, customers want to get information about phishing attacks and complaints. Customers also want to know about predicting the...
Why Video Surveillance is necessary in Transport Monitoring System? With the increasing population and the number of vehicles, the challenges at roads are also increasing. They make it challenging to...
What are the Challenges of Video Analytics in Transport Monitoring System? With the increasing population and the number of vehicles, the challenges at roads are also increasing. They make it...
Why is a Video Surveillance Dashboard necessary? Most workplaces remain open 24*7 to serve their customers anytime and provide them value. Therefore employees and visitors always visit there, some...
What are the Challenges for AI Video Analytics? An entertainment company like Netflix provides several series and movies to their audience. Their major requirement is to analyze the performance of...
What are the challenges of the Infrastructure Management Department? Company decisions for investing in upgrading infrastructure are strategic and should be based on early data and supporting...
What are the Challenges of Travel and Hospitality Management? Data relating to travel and hospitality can come from various sources and in different forms. It is beneficial in different ways from the...
What are the Challenges of HR and Recruitment Management? Measuring employee performance is an essential aspect of HR and Recruitment Management tasks. Companies have many employees' data, so it's...
What are the Challenges in E-learning Industry? E-Learning is an addition or support to regular class E-learning’s. The main motive is not to replace traditional teaching but to enhance and support...
What are the Challenges in the Oil and Natural Gas Industry? The oil and gas industry should necessarily have a complete view of assets. Companies need to find and identify those wells that will be...
What are the Challenges of Media and Entertainment Industry? Media and entertainment need to find better solutions to determine which type of content is the real driver of sales to focus on their...
Why Telecom Analytics is necessary? In the Telecom industry sectors, the customer's primary requirement is to get the service's excellent service performance before investing in their organization....
Why is Marketing and Advertising Analytics Necessary? Using traditional ways makes it very difficult to attract customers, resulting in low response rates, leading to high cost-per-lead/acquisition...
Why is the Healthcare Data Analytics Platform Important? In the healthcare industry, due to an increase in pressure to provide the best services with lower costs, healthcare providers need to invest...
Overview of Retail Analytics Platform In the retail industry sector, the customer’s primary requirement is to get the retails company status before investing in their company. Customers also want to...
Why is the ML model for Insurance Claim Prediction necessary? In the insurance claims sector, the customer's primary requirement is to get the insurance company's status before investing. Customers...
Overview of Public Safety Analytics In the Public Safety sector, the customer's primary requirement is to get about the rescues and total survey completed of public safety before investing. Real-time...
Why AI in Logistics and Transportation Required? In the transportation and logistics sector, the customer’s primary requirements are to get the information about vehicle petrol and maintenance and...
Overview and Steps for Lung Cancer Detection on DICOM Dataset To train a machine learning model that can detect lung cancer from DICOM images. Steps of the Process Collection of Images in DICOM...
Introduction to Analytics Platform An analytic platform is an integrated and proper solution configured to address the demands of users, unusually large data-driven companies, on the insufficiency of...
Building E-Learning Analytics Platform Big Data is carving Educational Sector to study through software, receive instant feedback, student's behavior and results. Big Data Analytics Platform in...
Predictive Healthcare Analytics Platform Predictive Healthcare Analytics Platform and solutions is a part of advanced analytics which is used to predict future events. Predictive analytics practices...
Introduction to Time Series Analysis Time-Series refers to data recording at regular intervals of time. Time-Series components involve - Trend - It increases, decreases or remains at a constant...
Machine learning Platform for Training, Validation, and Serving XenonStack is a leading machine learning platform building company that builds products based on machine learning/ artificial...
Continuous Delivery for Machine Learning and AI Models Automate the process of Machine Learning from model building to model deployment in production. Automation involves following operations...
Building Big Data Analytics Infrastructure with SMACK Stack Guide to Building Data Analytics Infrastructure with SMACK Stack using the following terms - S - stands for Apache Spark used for Batch...
Understanding Predictive Maintenance Applications Predictive maintenance nowadays gaining popularity among enterprises that predicts failure of the system, and the actions could include corrective...
Understanding Face Detection Architecture Computer Vision has become a popular area of research in Machine Learning and Deep Learning. Face Recognition uses computer algorithms to find specific...
Overview of Sentiment and Intent Analysis Sentiment Analysis is termed as contextual mining of text to identify and extract information, understand the social sentiment of a brand. It is a text...
Getting Started with Anomaly Detection Anomaly detection is the identification of data points, items, observations or situations that do not correspond to the familiar pattern of a given group....
What is Recommendation System A Recommendation System has defined as a system that is proficient of predicting the future choice of a set of items for a user and advocate the top items. One primary...
Overview of Building Product Recommendation System Production Recommender system is a useful information tool based on algorithms to provide customers with the most suitable products. Recommendation...
Overview of Machine Learning and Kubernetes Building Machine Learning Model could be a challenging task if not work properly. Let's review the use case that shows some methods and patterns. Analyze...
Azure Devops for .NET Core with Jenkins on Kubernetes ASP.NET Core is a new open-source and cross-platform framework (Windows | Linux | Mac) to build modern Cloud-Based internet-connected...
Video Analytics Platform for Surveillance using Artificial Intelligence Video Analytics Engine with artificial Intelligence is a Platform to utilize Advanced Image Processing Algorithms to turn...
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