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Energy Supply and Demand Forecasting with Machine Learning
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 and operation. A numerous variety of techniques for predicting power demand are being used by electrical firms, which are appropriate to short-term, medium-term or long-term forecasting. In such a...
13 October 2021
Automating ML Platform in Consumer Technology Industry
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...
Automating AI and ML models in Cyber Security
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...
Illegal Parking Detection Using Video Surveillance
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...
Predicting Road Accidents with AI and Video Surveillance
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...
Monitoring Workplaces with Video Surveillance Dashboard
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...
Automating Intelligent based Video Analytics Platform
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...
Enabling AI-driven Platform in Infrastructure Management
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...
Automating AI in Travel and Hospitality Management
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...
AI Platform for HR and Recruitment Management
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...
Analyzing E-learning Platform with AI and ML Model
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...
AI and ML Model in Predicting the Oil and Natural gas
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...
Automating AI Predictive Model for Media and Entertainment Industry
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...
Automating AI Analytics in Telecom Industry
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...
Enabling Marketing and Advertising Analytics Platform
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...
Building Intelligent Healthcare Analytics Platform
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...
Building Real-Time Retail Analytics Dashboard
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...
Enabling Machine Learning model for Insurance Claim Prediction
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....
Enabling ML and AI Platform in Public Safety
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....
Enabling Artificial Intelligence in Logistics Management
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...
Lung Cancer Detection and Classification on DICOM Dataset
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...
Ecommerce Analytics Platform and Solutions
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...
E-Learning Analytics Platform for Enhanced User Experience
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 Predictive Healthcare Analytics Platform and solutions is a part of advanced analytics which is used to predict future events. Predictive analytics...
Time Series Forecasting Analysis with Deep Learning
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 and Serving
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 of Machine Learning Pipelines
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...
Real Time Data Analytics Infrastructure on Mesos and kubernetes
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...
Predictive Maintenance using Machine learning Techniques
Understanding Predictive Maintenance Applications Predictive maintenance nowadays gaining popularity among enterprises that predicts failure of the system, and the actions could include corrective...
Face Recognition and Detection with Deep Learning
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...
Sentiment Analytics Solutions with Deep Learning
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...
Insurance Analytics, Fraud Detection and Pattern Analysis
Complete Guide to Fraud Detection Techniques in Insurance The Three Major Challenges For Insurance Industry - More Insights from Existing Data. Adding New Sources of Data into Existing Models. ...
Anomaly Detection and Monitoring Using Deep Learning
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....
Recommendation System with Machine Learning
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...
Product Recommendation with Graph Database
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. ...
Building Machine Learning Model on Kubernetes
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. ...
Azure DevOps for .NET Core with Jenkins
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 with AI
Video Analytics Platform for Surveillance using Artificial Intelligence Video Analytics Engine with artificial Intelligence is a Platform to utilize Advanced Image Processing Algorithms to...