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Machine Learning Development Solutions
Machine Learning as a Service - Google, AWS, Azure, Open Source.
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Driving Intelligent Automation with Machine Learning
Unlock the Real Value of your Data with operationalizing and scaling machine learning and deep learning models.
Customer Experience with Conversational AI
Transform your customer experience with automated cloud contact center with exceptional customer experience and self-service.
Operationalizing and Scaling ML Models
Integrating machine learning models with business applications and processes for scaling AI to get real business value.
Cognitive Machine Learning
Intersection of machine intelligence and cognition along with integration of knowledge structures and neuro-symbolic AI.
Why MLOps Platform and productionizing Machine Learning Models is vital for business outcomes?
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.
Enterprise Machine Learning Solutions
Accelerating the Path to Enterprise AI with MLOps
With MLOps, enterprises can scale ML operations and enable Machine Learning Model governance at scale.
Empowering Enterprise AI with MLOps
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.
Machine learning Solutions for conversational AI , Chatbot and Virtual Assistants
Process automation with ML enhances business productivity and efficiency
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Why Machine Learning Platform?
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How to enable Machine Learning Model for Insurance Claim Prediction?
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How does a Machine Learning Pipeline work?
Defining business metrics and outcomes is important for successful Machine learning projects
Design-Led approach with defined KPI and metrics helps enterprises to productionize the ML experiments.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Data Science
DevOps
Enterprise AI
Serverless
Data Visualization
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Introduction to Customer Data Platform According to the CDP Institute, "A customer data platform is a software package that creates a unified and persistent customer database accessible to other...
What is Google Analytics? Google Analytics is an Analytical Platform where organizations have access to playing with their data and analyze it on any scale and in a cost-effective way. Google...
What is Test Driven Development? Software testingplays a vital role in the life cycle of software and Test Driven Development. It is imperative to identify bugs and errors during software...
Overview of Golang Unit Testing With the evolutionary growth of the software development process, Test Driven Development is an approach which consolidates test first driven methodology and...
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...
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...
Overview of Software Testing Software testing is a process which is used for increasing the quality of a software or a product and for improving it by identifying defects, problems, and errors....
Introduction to Enterprise DevOps Nowadays, DevOps becomes a fuzzword across the various organization for software development and enabling companies to achieve scale. We all heard about the high...
Introduction to Serverless Architecture The phrase “serverless” doesn’t mean servers are no longer required. It solely proposes that developers no longer have to think that much about them. Going...
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...
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...
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...
Introduction to Google Cloud Platform Serverless Computing Google Cloud Serverless computing makes scalability of the server to infinity, i.e., there will be no load management, it has to run...
Introduction to Golang Golang is a new language and thanks to Golang community, it has grown rapidly since the release of GO 1.0. yet, keeping its most fundamental principle of simplicity intact....
What is a Continuous Delivery Platform? NexaStack is a Continuous Delivery Platform to Automate, Monitor, Analyse your Cloud-Native Application Delivery. NexaStack Continuous Delivery Platform...
Introduction to User Experience The principles of "user experience" may be traced back thousands of years to ancient China, when the practice of Fen Shui, or "feng shui," was developed. The terms...
Introduction to React learning Nowadays we know that Angular and React are on the boom for front-end developers. As both are different, one is a framework, and the other is a library which we can...
What is Google Lighthouse? Google Lighthouse is an open-source tool provided by google developers so that anyone can check their web page metrics and score of it. After knowing its score, we can...
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...
What is Container Storage Interface(CSI)? CSI stands for Container Storage Interface. It is an initiative to combine the storage interface of Container Orchestrator Systems(COS) such as Mesos,...
Introduction to Kubernetes Kubernetes is a portable and open-source platform that is used for managing containerized services and workloads. Kubernetes tools, support, and services are widely...
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...
Introduction to Cloud-Native Application Before reading about Cloud Native Applications we must be aware of the term pattern, so in layman, term pattern is an art to figure out a good solution to...
Introduction to Cloud-Native Storage Cloud-native is a new paradigm for developing and running software applications that incorporates technological trends such as cloud computing,...
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...
What is Azure Sentinel? Azure Sentinel is a SIEM (Security Information and Event Management) and Security Orchestration and Automated Response (SOAR) system in Microsoft's public cloud platform....
What is a Security Header? After traveling to any website inside the browser, the browser sends a few request headers to the server, and additionally, the server responds with HTTP reaction...
Introduction to Paas and IaaS Cloud computing is everywhere now, and there is a need to adapt to it because the requirements are going high side by side with technology. It is becoming very tough...
Introduction to Cloud Computing The cloud computing service platform has become an essential item for pretty much every business.The consistently developing significance of information protection...
Overview of Hybrid Multi-Cloud environment Over several cloud environment, it refers to be a distribution of various cloud software, applications. Hybrid Multi-Cloud environment removes the usage...
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Featured Machine Learning Services Insights.
The Role of Artificial Intelligence in Cyber Security Complete Guide
The Role of Artificial Intelligence in Cyber Security Complete Guide
Artificial Intelligence for Infrastructure Management and Automation
Artificial Intelligence for Infrastructure Management and Automation
Request For Machine Learning Development Services
Discuss your Requirements and the Xenonstack team will help you to do business case identification and define business Outcomes.
ModelOps
MLOps
Conversational AI
Virtual Assistant
ModelOps
Applications that are developed and deployed using cloud-based technologies are known as Cloud-Native Applications. They are hosted and managed by the cloud.
MLOps
An in-depth guide of how DevOps streamlines operations and accelerates software delivery processes.
Conversational AI
Understand how adoption of Microservices helps in increasing Resiliency, better Independent deployability and Scalability.
Virtual Assistant
Overview of how Kubernetes reduces the infrastructure costs in large-scale deployment, and streamlines Multi-cloud capability.