XenonStack Recommends
RPA in Data Analytics | The Complete Guide
Introduction RPA in Data Analytics Many things help a business succeed. Great employees, cutting-edge technology, good customer service, and good marketing can take a business to the next level. However, data may be more critical to businesses than any business. Data plays a vital role in different businesses for different reasons. It helps make decisions, identify trends, and many other things that benefit the business. Businesses have no...
21 June 2022
10 Best Practices for Data Visualization That You Should Know
Introduction to Data Visualization “The greatest cost of a picture is when it arms us to notice what we have never waited to see.”
RPA in Insurance Industry Benefits and its Use Cases | 2022
What is an RPA in insurance? We live in an era where each day brings new technology, and these technologies have complete influence over the entire planet. Robotic Process Automation (RPA) is a new...
RPA vs Cognitive Automation | Complete Guide
What is meant by robotic process automation? Robotic Process Automation (RPA) and Cognitive Automation, these two terms are only similar to a word which is “Automation” other of it, they do not have...
Best Practices of UiPath | The Complete Guide
What is UiPath used for? UiPath is one of the tools beneficial for the creation of RPA. Best Practices of UiPath enable high-level security because credentials can be stored and encrypted on a...
Top 6 RPA Use-Cases for Industry Automation in 2022
Introduction to Robotic Process Automation (RPA) Humans are again entering into the new era of automation. Robotic Process Automation is one transformation that is automating our daily repetitive...
Implementing RPA in ERP for Systems Transformation
What is RPA in ERP? An ERP ( Enterprise Resource Planning) system unites business processes and automates them, such as extracting user's data, apply operations on that data, schedule the operations,...
3 Best RPA Tools: Picking The Right Robotic Process Automation Toolkit
What are the Best RPA Tools? The humans are again entering into the new era of automation. RPA ( Robotic Process Automation) is one transformation which is automating our daily repetitive tasks. Just...
Robotic Process Automation (RPA) for Financial Services
Introduction RPA in Finance and Accounting Before we get start with Robotic Process Automation for Financial Services let's understand the current scenario. The business environment is continuously...
Robotic Process Automation (RPA) in Human Resources Management
Introduction to RPA in Human Resources Management Before starting with our blog RPA in Human Resources Management and Operations in detail, knowing the current scenario is essential. Businesses today...
Best Open Source RPA Tools | Benefits and Applications
Introduction to RPA Open Source Tools Humans are again coming into the new world of Automation. RPA is one transformation that is automating our daily repetitive tasks. RPA enables a higher...
Intelligent Automation Tools and Its Challenges
Introduction to Intelligent Automation Intelligent Automation is one of the most recent trends in the broad field of Technology. It is also called Hyper Automation or Cognitive Automation. It is much...
Top 7 Artificial Intelligence Adoption Best Practices
Introduction to Artificial Intelligence Artificial intelligence (AI) plays an essential role in maintaining the future of work. In an increasingly complex and continuously accessible marketplace,...
Augmented Analytics Benefits and its Future
Augmented Analytics- The Next Wave of Disruption In the field of data and analytics, the next big wave is to enable businesses to accomplish business values faster, more profound, and at a much...
Real Time Anomaly Detection for Cognitive Intelligence
Evolution of Analytics in the last decade Around ten years ago, the tools for analytics or the available resources were excel, SQL databases, and similar relatively simple ones when compared to the...
Implementing DevOps for Machine Learning | A Quick Guide
Why Continuous Integration and Deployment? Like in Modern Web Applications, it needs Agile systems because of the ever-changing requirements of the clients and consumers. In Machine Learning the...
Applications of Natural Language Processing For Businesses
What is Natural Language Processing (NLP)? Natural Language Processing techniques, a subset of Artificial Intelligence increasing its necessity with the improvement of its sub-technologies day by...
Deep Learning vs Machine Learning vs Neural Network
What is Deep Learning? Deep learning is a subset of machine learning concerned with algorithms inspired by the structure and function of the human brain. Deep learning systems can handle massive...
Anomaly Detection with Time Series Forecasting | Complete Guide
Introduction to Time Series Data Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each...
Natural Language Processing Best Practices and Use Cases
Overview of Natural Language Processing 01110000 01101100 01010100 01110110 01100101 01110010 01100001 As we have difficulty reading the above binary compared to reading a human language, similarly...
Data Intelligence Business Benefits and Implementations
Introduction to Data Intelligence We generate massive amounts of data every minute in today's digitalised world. The volume of data generated by large corporations grows at a pace of 40 to 60 per...
Data Preprocessing and Data Wrangling in Machine Learning
Introduction to Data Preparation and Preprocessing Deep learning and Machine learning are becoming more and more important in today's ERP (Enterprise Resource Planning). During the process of...
Natural Language Processing Applications and Techniques
What is Natural Language Processing(NLP)? Natural Language Processing (NLP) is “the ability of machines to understand and interpret human language the way it is written or spoken.” The objective of...
Complete Guide to Genomics Analytics Platform
Introduction to Genomics Analytics Platform The main reason behind the fact that “now it is possible to handle genome data and genomics research” is the evolution in the area of Big Data Analytics....
Applications of AI in Banking and its Benefits
Introduction to AI in Banking Artificial Intelligence is a kid who is pursuing now to its teenage. Every field (whether it is marketing, manufacturing, health or BPO, etc.) is accepting Artificial...
Understanding Open Neural Network Exchange Advantages
What is Open Neural Network Exchange (ONNX)? The ecological community of deep learning scheme, platforms and gadgets are increasing at an astonishingly nimble speed. A few years ago, there were few...
Text Analytics Techniques and Tools Overview
Essential Techniques for Text Pre-Processing Tokenization - The process of dividing the given text into words and sentences in the form of tokens. Before any text analytics procedure (whether it is a...
Natural Language Processing in Government | Complete Guide
Understanding NLP in Government Artificial Intelligence is becoming a need of every sector nowadays, and it should be a part of every industry whether it is public sector or private sector. Comparing...
Artificial Intelligence in Software Testing | Benefits and its Trends
Introduction to AI in Software Testing Software testing is an important process that ensures customer satisfaction in the application. It is the planned way in test automation where an application...
Blue Prism Features and Best Practices for Advanced RPA
Overview of Blue Prism Blue Prism’s connected-RPA (Robotic Process Automation) offering provides enterprises with an intelligent digital workforce (software robots) capable of self-learning &...
Digital Twin Technology Application and Challenges
Introduction to Digital Twin Everyone has met the digitization process around in life. Books have become ebooks. Music has transitioned to MP3 records. The theory of digital twinning is similar but...
RPA Security Checklist and Its Best Practices
Introduction RPA Security Robotic process automation is being used in small-to-medium-sized healthcare professions and global financial services corporations. It necessarily deals with a lot of...
Edge Computing and its Impact on IoT
Overview of Edge Computing Edge Computing is a distributed computing paradigm in which processing and computation are performed mainly on classified device nodes known as smart devices or edge...
RPA Testing Framework | The Complete Guide
Introduction to RPA Testing Framework Robotic Process Automation (RPA) is the best technology for today's enterprises, allowing a robot to be configured to integrate with human actions to perform...
Unit Testing of Machine Learning with Test Driven
Machine Learning Unit Testing with Test-Driven Development A pattern built for development in performance testing is known as Test-Driven Machine Learning Development. It is a process that enables...
7 Machine Learning Trends for Businesses in 2022
Introduction to Machine Learning Artificial intelligence (AI) and machine learning (ML) are key technologies with the ability to revolutionize our lives in ways we can't even imagine right now. Given...
Amazon Kendra Benefits for Businesses | A Quick Guide
What is Amazon Kendra? Amazon Kendra is a service that provides intelligent search services for our websites and applications. Using this service, our employees can easily find the content they are...
Real Estate Investment Challenges and its Use Cases
Introduction to Real Estate Investing Real estate investing is a process in which investors invest in property and give those properties rent to get income. The first thing that comes to an...
AI Simulations on Web Assembly | The Complete Guide
What is WebAssembly? WebAssembly is a project started by the World Wide Web Consortium (W3C) in 2015 to provide a standard high-performance and machine-independent byte code that is also safe. Wasm,...
Full-Stack Observability Benefits and Implementations
Introduction to Full-Stack Observability Digital transformationis taking place at historical levels, and professionals are working twice as hard to apply new inventions that were previously...
Streamlining ML Projects with MLOPs and Azure ML
Why do we need to streamline the Machine Learning Projects? During a machine learning project, the phases to be implemented are defined by machine learning workflows. Data collection, preprocessing,...
Understanding Vision Analytics Challenges and its Use Cases
Introduction to Vision Analytics Businesses often need human intervention for many things, where sometimes it can be automated in one way or the other. Like in a manufacturing business, they often...
Machine Vision Working and Its Applications
Introduction to Machine Vision Machine Vision has become a superior technology for automated visual inspection in manufacturing worldwide. Due to increasing system integration competence and...
Automatic Speech Recognition with Deep Speech Model
Introduction to Automatic Speech Recognition It was formerly impossible to convert voice to text. Over the last 30 years, speech recognition technology has advanced dramatically. Technology is...
Introducing ModelOps in Artificial Intelligence Projects
Overview of ModelOps Organizations increasingly depend on machine learning (ML) models to transform enormous amounts of data into new insights and information. These ML models are not constrained by...
Understanding Intelligent Decisioning System Tools and Principles
Introduction to Intelligent Decisioning System Intelligent Decisioning is the discipline that augments Data Science with theory from social science and decision theory. It is an autonomous approach...
Architecture of Data Processing in IoT for Smart Cities
Introduction to Data Processing in IoT With the enormous rise in urbanization, big cities have been drivers for economic growth and a magnet for talent. As urbanization is growing day by day, cities...
Cobot Architecture and its Applications | Ultimate Guide
Introduction to Cobot This is the age of Artificial Intelligence, Cobot, and Chatbot. Mostly chatbot is used or the previous chatbot, which was generally used to be rule-based, but the quest to make...
Artificial Intelligence in Edge Computing | Benefits and Use-Cases
Introduction of AI in Edge Computing The rapid rise of the applications powered by Artificial Intelligence raises the data center's technical requirements, which generates high costs. The cloud is...
IoT Edge Analytics and Latest Trends | Complete Guide
Introduction to IoT Edge Analytics In today’s world, the number of retailers and their problems is rising day by day. Customer demand is changing every day, making it very hard for consumers to keep...
Introduction to Python Flask Framework | Complete Guide
Overview of Python Flask Framework Web apps are developed to generate content based on retrieved data that changes based on a user’s interaction with the site. The server is responsible for querying,...
TensorFlow Architecture and its Benefits | Quick Guide
What is a TensorFlow, anyway? If you are a fan of Machine Learning/Data Science/ Artificial Intelligence, you cannot miss TensorFlow. The name defines itself. Tensor it is nothing, but a...
Intelligent Enterprise Platform and its Components
Introduction to Intelligent Enterprise Intelligent and Enterprise are two different words, but collaboratively, they are means a lot. Intelligence in the field of computer science refers to a...
Web3 Features and its Comparison Web3 vs Web2
Introduction to Web3 Web 2.0 benefits more than 3 billion people for 80% of their waking hours every day. It moves the world from static desktop web pages for information consumption that served from...
Edge Computing vs Cloud Computing | Complete Guide
Introduction to Cloud and Edge Computing Cloud computing plays a significant role in making the best possible choices for IoT devices. A cloud-based framework helps developers create, deploy and...
Briefing Machine learning Platforms with Services and Solutions
Introduction to Machine Learning Platforms Businesses today are looking towards adopting Machine learning for developing intelligent solutions. But adopting the Machine learning solution has its...
Comprehending The Top 5 RPA Use Cases in Manufacturing Industry
Introduction to RPA Use Cases in Manufacturing RPA in Manufacturing Industry has attracted recent innovations in factories in various sectors. Significantly, the manufacturing sector is experiencing...
Edge AI vs Federated Learning | Complete Overview
What is Federated Learning? Federated learning is a machine learning technique that involves training an algorithm through several decentralized edge devices or servers that carry local data samples...
Edge AI in Manufacturing Industry Benefits and Use Cases
Overview of Edge AI in Manufacturing Indusrty The manufacturing industry, which deals with machines and automation systems, is one of the major sectors contributing to the global economy. According...
Understanding Amazon Rekognition Benefits and its Use Cases
Overview of Amazon Rekognition Security cameras can be used in various locations, from apartment buildings, department shops, airports, and even residences. Cameras are essential for preserving...
Comprehending Workplace Surveillance with Video Analytics
Introduction to Workplace Surveillance The main objective of workplace surveillance is to protect office assets and valuable information from compromising. For this, there is a need to timely detect...
Amazon SageMaker : End-to-End Managed Machine Learning Platform
Introduction to Amazon SageMaker When it comes to Machine Learning (ML) and giving it as a service, it requires Data Engineering, ML, and DevOps expertise. While deploying a production model, several...
Overview of EdgeOps Platform Benefits and Its Working
Introduction to EdgeOps EdgeOps is a fairly new concept that will change direction shortly. EdgeOps, like Devops, will have a set of values, principles, techniques, practices, and tools for...
Overview of Federated Learning for Personalized Recommendations
Introduction to Personalized Recommendations Privacy-preserving recommendation systems will unlock the latest domains where such techniques can be applied, such as financial planning, health...
Comprehending ModelOps Monitoring Model and its Benefits
Introduction to ModelOps Monitoring Nowadays, organizations prefer Artificial Intelligence to solve serious business issues, predict future actions, and leverage data in complicated ways, even a few...
What are the Differences Between NLP, NLU, and NLG?
Introduction to NLP, NLU, and NLG NLU and NLP's need rose with advancements in technology and research, and computers can analyze and perform tasks for all sorts of data. But when we talk about human...
Understanding Evolution and Future of Natural Language Processing
Introduction to Natural Language Processing (NLP) Natural Language Processing (NLP) a subset technique of Artificial Intelligence which is used to narrow the communication gap between the Computer...
Distributed Artificial Intelligence Latest Trends | 2021
Introducing Distributed Artificial Intelligence Trends The Distributed Artificial Intelligence is a subfield of Artificial Intelligence(AI) devoted to researching and developing the distributed...
Artificial Intelligence in IT Infrastructure Management
Overview of AI in IT Infrastructure Management With the growth in technology and infrastructure, rapid advancements are there in software-defined infrastructure and Cloud Computing. This has enabled...
Artificial Intelligence in Customer Experience and Interaction
Role of AI in Customer Experience With the increase in computation power and decreasing prices of storage devices leads to a digital transformation to apply AI in Customer Experience for solving...
Artificial Intelligence in Cyber Security | The Advanced Guide
Overview of AI in Cyber Security Current Technologies put the organization's cybersecurity at risk. Even with the new advancements in the defense strategies, security professional fails at some...
Getting Started with Cognitive Robotic Process Automation
Introduction to Cognitive RPA In the era of automation, machines complement human labor in the workplace. The advent of technologies transformed the nature of work and the workplace. Machines now...
Intelligent Process Automation vs RPA: Understanding the Difference
Introduction to Intelligent Process Automation Intelligent Process Automation (IPA) has become a buzzword. Where the speculators have perspectives ranging from "farfetched" and "too good to be true"....
Understanding Microsoft Power Automate in RPA
Introduction to Microsoft Power Automate Automation no longer constitutes a moonshot. Survival in our ever more technology-driven market world is required. Yet, 22 percent of businesses still lack...
Real-Time Streaming Data Visualizations
Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. Data visualization is...
Comprehending Ethical AI Challenges and it's Solutions
Introduction to AI and it’s Ethics. Artificial intelligence (AI) is the digital technology that has a major impact on humanity's development. All tech giants are trying to develop cutting-edge AI...
Microsoft Azure Digital Twin Platform and it's Benefits
Introduction to Azure Digital Twin Platform When we talk about the Internet of Things solutions, think of devices like a windmill, which consists of sensors that generate pressure or temperature...
Overview of Real-Time Store Monitoring
What is Real-Time Store Monitoring? Real-Time Store Monitoring helps to know which customer is essential to any company. Increasing customer convenience has remained the topmost priority for retail...
2020 Calendar of XenonStack - From Covid Crisis to Creating New Benchmarks
How the 2020 Calendar Started? The 2020 Calendar of XenonStack kicked off with a basket of achievements. We became “ Silver Member of Cloud Native Computing Foundation,” “ Silver Member of The Linux...
RPA in Healthcare - Incorporating Robotics in Healthcare Management
Overview of Enabling RPA in Healthcare RPA in Healthcare, or Robotic Process Automation in Healthcare management, plays a big role in automating various processes. Our RPA technology based on FTE...
Growth Mindset - Perpetuating Success at XenonStack
What is Growth Mindset? Having a Growth Mindset is to believe in the development of intelligence through consistent efforts. It is the belief among students that learning doesn’t end on the last day...
Just Graduated? It's Amazing to Become a Professional With Us!
Greetings Graduates! Welcome one and all to this voyage of 'Evolution of Graduate' that begins with exploration and discovery, filled with experiments and novelty, and that ends at infinity. Featured...
Finding 'Best Place to Work For'? XenonStack is Right Here Folks!
Why XenonStack? When looking for a new job, hearing “ best place to work” sounds alluring. But what exactly makes a company “the best”? For us, it’s our people who are the heart of our success. They...
Automatic Log Analysis using Deep Learning and AI
What is Deep Learning? Deep Learning is a Neural Network Algorithm that takes metadata as an input and processes the data through some layers of the input data's nonlinear transformation to compute...
Best Data Visualization JavaScript Libraries to Handle Large Data Sets
Data Visualization with JavaScript - Overview Effectively representing data is one of the critical tasks in data visualization. In JavaScript, various libraries are open source and commercial both,...
Top 5 Reasons Why RPA Projects Fails and How to Avoid Them
What is Robotics Process Automation (RPA)? RPA (Robotic Process Automation) is the technology that is the reason what everyone today uses to configure computer software. Or a "robot" to emulate as...
Data Visualization Techniques to Modernize Your Business Intelligence
Overview of Data Visualization Techniques Let us start with the basics of Data Visualization before starting with 5 vital Data Visualization Techniques for Modernizing Business Intelligence. Data...
Getting Started with UiPath - UseCases | Benefits | Features
Introduction to RPA, and UiPath Overview of Robotic Process Automation (RPA) Robotic Process Automation is one of the most rapidly growing technologies in recent history, and businesses have been...
Complete Guide to Automation Anywhere Solutions and Services
Introduction to Robotic Process Automation Before understanding Automation Anywhere, we will first know about RPA (Robotic Process Automation). RPA is a technology which enables us to create...
Geospatial Analytics using Presto and Hive
Introduction - Geospatial Analytics using Presto and Hive Geospatial Analytics is related to data that is used for locating anything on the globe, an uber driver to a man in a new neighbourhood place...
Artificial Intelligence Overview and Applications
Artificial Intelligence Overview AI refers to ‘Artificial Intelligence’ which means making machines capable of performing quick tasks like human beings. In simple words, Artificial Intelligence (AI)...
Next Generation Recommender Systems Overview
Guide to Next Generation Recommender Systems The main issue which is coming into the light of the modern world is the overloading of information which itself giving rise to the problem of navigation...
Installation of Apache MXNet, Caffe and PyTorch using Anaconda
Overview of Deep Learning Frameworks Anaconda is an open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing,...
Time Series Analysis and Machine Learning Models
Time Series Analysis For Business Forecasting Time is the only moving thing in the world which never stops. When it comes to time series forecasting, the human mind tends to be more curious as we...
Semantic Search Engine with Ontology and Machine learning
Understanding Semantic Analysis The word semantic is a Linguistic term. It means something related to meaning in a language or logic.Understanding How Semantic Search works - In a natural language,...