Machine Learning Development Solutions
Building Machine Learning driven solutions with Google, AWS, Azure ML Platforms.
Unlock the real value of your data by operationalizing and scaling machine.
Innovating and automating processes with machine learning and deep learning, enriching customer insights and cost optimization.
Integrating machine learning models with business applications and processes for scaling AI to get real business value.
The intersection of machine intelligence and cognition along with the integration of knowledge structures and neuro-symbolic AI.
Continuous Delivery and DevOps for ML and DL models with microservices using Docker, Knative, and Kubernetes for serverless and containerized environments on private and public clouds.
With MLOps, enterprises can scale ML operations and enable Machine Learning Model governance at scale.
Empowering Enterprise AI with MLOps
Solutions for building Enterprise-grade Machine Learning Platform and future-ready ML-powered applications.
Cognitive Analytics enabled solutions for facilitating improved customer engagement, enhanced decision making, and efficient business processes.
Enabling Anomaly Detection solution using unsupervised and supervised ML techniques to detect anomalies and make predictions from the data.
Deep Learning enables Sentiments Analytics solutions for facilitating contextual mining of text, classifying data, and understanding social sentiment.
Building Machine Learning driven solutions with Google, AWS, Azure ML Platforms.
Machine Learning enabled applications on Google Cloud
Building Machine Learning Models on Google Cloud with Cloud Machine Learning Engine.
Machine Learning Solutions on AWS
Building and deploying AI and ML models faster, accelerating end-to-end Machine Learning development lifecycle with Amazon SageMaker.
Empowering Machine Learning powered Applications on Azure
Developing Machine Learning Models with Azure Machine Learning Studio at scale, effectively adding intelligence to applications.
Process automation with ML enhances business productivity and efficiency
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Big Data Engineering
Data Science
DevOps
Data Visualization
Enterprise AI
Serverless
RESET
Introduction to Big Data Visualization For analyzing big data efficiently, the most important thing is to choose perfect visualization tools. A perfect visualization tool will generate an efficient...
Introduction to Data Ingestion Data Ingestion is a part of the Big Data Architectural Layer in which components are decoupled so that analytic capabilities may begin. It is all about data storage and...
Introduction to Big Data Architecture Big Data Architecture helps design theData Pipelinewith the various requirements of either the Batch Processing System or Stream Processing System. This...
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...
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...
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...
Introduction to Blue-Green Deployment Blue/Green deployment is an application or service release technique that shifts the incoming traffic from an older version of the application or microservice to...
What is Infrastructure as Code? Infrastructure as Code is a higher-level abstraction to write code/login in a high-level language that utilizes modules to perform tasks on the machine level....
Introduction to Wasm Wasm, officially called Web-Assembly, is an Optimized code format and API for the web. It can significantly enhance the performance of websites. Its version 1.0 was released in...
Overview of Data Visualization Data Viz or Data Visualization is the graphical representation of data and information. By using best Big Data Visualization tools or visual parts like layouts,...
What is Data Visualization? Data Visualization Techniques uses charts and graphs to visualize large amounts of complex data. Visualization provides a quick, easy way to convey concepts and summarize...
Introduction to Data Visualization A picture is worth a million words – especially when you are trying to understand and discover insights from data. Visuals are especially helpful when you’re trying...
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...
Introduction to ModelOps and CloudOps In the last few years, there has been an increase in AI and machine learning (ML) technology. These technologies are getting implemented in hundreds of use cases...
Introduction to Test Automation Test automation is the utilization of specialized software to control the execution of tests and the comparison of actual outcomes with predicted results. In the past,...
Introduction to Agile Methodology Agile is a methodology that allows continuous iteration of development and testing all through the software development life cycle. Iteration is described as a small...
Overview of Agile User Story User Story is the High-level definition of the requirement of project demands, that involves enough information that the developer has to give an estimate of the effort...
What is a Testing Pipeline? An Automated Testing Pipeline is a group of jobs or tasks that are executed in stages also called batches. Pipelines comprise - Jobs that define what to run. For example,...
What is Cloud Governance? Cloud Governance is a set of rules. It applies specific policies or principles to the use of cloud computing services.This model aims to secure applications and data even if...
Introduction to Functional and Class-Components Developing a single page application, developers have to write more than thousands of lines of code that follow the traditional DOM structure. If any...
What is Digital Transformation? Have you ever thought of using technologies to modify existing or creating new business processes? Thinking of customer experiences to meet changing business and...
Overview of Deploying Rocket Chat on Kubernetes In this Blog, We will Cover How to Build Slack like Online Chat using Rocket Chat and Deploy on Containers using Docker and Kubernetes. Before This, We...
What is Kubernetes? Kubernetes is an open-source container orchestration engine and also an abstraction layer for managing full-stack operations of hosts and containers. From deployment, Scaling,...
Overview of Event-Driven Architecture Event-Driven Architecture (EDA) is a model or an architectural paradigm for software that supports the production, detection, consumption of, and reaction to...
Introducing Azure Security Services Azure is a hybrid cloud service platform. It supports a wide variety of operating systems, computing languages, architectures, resources, applications, and...
What is Secure Coding? Secure coding is the practice of writing code in any programming language to prevent any known vulnerability in our code. Vulnerabilities that could expose any data and cause...
Introduction to Adaptive Security Adaptive Security is a real-time security model or approach that continuously investigates behaviors and events to protect against the threat and adapt to the...
Introduction 2020 will be remembered as the most difficult, significant, and eventful year of their lives for many people. Then came the year 2021. When we thought the worst was over, the second...
What is Technology SuperStar? Everyone wants to be a superstar, be it acting, dancing, coding, marketing, or from whatever field they are. But, in XenonStack Glassdoor , Best Place to Work , we make...
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...
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ModelOps
MLOps
Conversational AI
Virtual Assistant
ModelOps encourages corporations to shorten production cycles and deliver results to end users at scale while continuously improving outcomes.
MLOps have mixed data scientists and services designed to provide automation in ML pipelines and get more precious insights in production systems.
Operationalizing Conversational AI driven solutions for developing consistent experience,Improving Customer Acquisition and gaining Real-Time Personalized Insights.
Build Voice and Text based assistants with Natural Language Understanding (NLU) and AI capabilities.
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