Explainable AI Offerings
Explainable AI reveals the direction and scope of explainability that XenonStack incorporates into our AI solutions
XenonStack Recommends
Improve prediction accuracy with Explainable AI
Explainable AI (XAI) solutions aid in characterizing model accuracy, fairness, transparency, and outcomes in AI-powered decision making. AI explainability also assists a company in taking a responsible approach to AI development.
Cloud-Native Agnostic Platform
Prevent vendor lock-in and enable seamless AI infrastructure deployment and management
Principles for Explainable AI Development
Explainable AI promotes promote responsible AI Adoption, and embedding ethical principles into AI-based applications
AI-enabled Security Solutions
Manage regulatory and compliance requirements, and Mitigate security threats in Real-Time
Explainable Machine Learning (XML) for Model Monitoring
Monitoring, XAI, and other MLOps components must be implemented from the start of the project to allow your team and stakeholders to make better design decisions and catch issues that arise, such as model bias, that KPIs alone can never detect. All industrial-grade Machine Learning (ML) or Artificial Intelligence (AI) systems must have XML or XAI in conjunction with model tracking, versioning, and source control that enable ML teams to understand model behavior across widely varying inputs better, make better decisions, reduce the mean time to resolution when challenges inevitably arise, and mitigate potential risks to the organization or end user.
Build, Deploy and Manage Explainable AI Applications at Scale
End-to-End Machine Learning Orchestration
Minimize the complexity of the AI lifecycle, enable Automated Pipeline Orchestration, and build AutoML capabilities.
Learn more about Machine Learning Pipeline Deployment and Architecture
With Automated Model Containerization Solutions, Companies can reduce the Complexity of Manual Orchestration and govern machine learning models in production.
Automated Monitoring solutions empower Enterprises to understand and Proactively identify Performance and Operational Issues.
Akira AI enables Enterprises to efficiently streamline Machine learning cycles with solutions for automated deployment and administration of machine learning models.
ModelOps solutions to help control and manage the model's usage continuously and metrics including infrastructure monitoring.
Googler Vertex Explainable AI Offers
Vertex Explainable AI provides feature-based and example-based explanations to help users understand how models make decisions.
Amazon SageMaker Clarify Model Explainability
Amazon SageMaker Clarify contains tools to assist in explaining how machine learning (ML) models create predictions.
Azure Explainable Solutions Model Visualization
Enable visualizations to help you see patterns in data and explanations.
Operationalize Explainable AI with trust and confidence
Bring your AI models into production and ensure that AI models are interpretable and explainable
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Cloud-Native Agnostic Platform
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Principles for Explainable AI Development
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AI-enabled Security Solutions
Model Visualization Solutions Enabling Explainability for ML
Helping Organizations to build a Framework for Explainability
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Enterprise AI
Big Data Engineering
Data Science
DevOps
Data Visualization
Serverless
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Generative AI Moving Towards Healthcare Generative AI, or generative adversarial networks (GANs), is artificial intelligence capable of creating new content, such as images, music, and text. It uses...
What is Generative ‘AI’ Generative AI, also known as Generative Adversarial Networks (GANs), is a subset of artificial intelligence (AI) that focuses on generating new and original data based on...
Introduction Generative Artificial Intelligence (AI) has revolutionized various fields, including art, music, and content generation. With the ability to create original and realistic outputs,...
Overview Azure Data Factory and Apache Airflow Data-driven decision-making allows organizations to take strategic decisions and actions that align with their objectives and goal at the right time....
How Angular compiles and its performance? The application can be compiled using two following commands:-
Introduction to Metadata Management The most crucial process for a successful digital initiative plan is metadata management. It is currently essential for managing the information assets in an...
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...
Machine Learning Model Operationalization Today Businesses are searching for ways to put Machine Learning in their arsenal to improve their decision-making. But in reality, it has been seen while...
What is Log Analysis? Log analysis is the method of evaluating computer-generated event logs to proactively discover faults, security hazards, and other issues. Log analysis can also be applied more...
Getting Started with IaC Infrastructure as Code (IaC) tools that promote the best practices are necessary to make the process of building and configuring the infrastructure more competitive and...
Overview of Test Driven Development (TDD) Test Driven Development (TDD) is a great approach for software development. TDD is nothing but the development of tests before adding a feature in code....
What is Monolith? A monolith application is a deployment setup where a single deployment unit handles various business activities. Such applications are good to start with and develop features with,...
Introduction to Business Intelligence Today's businesses increasingly rely on software to perform at peak efficiency and maximize revenue. Business Intelligence (BI) plays a key role in helping...
Introduction to Graph Analytics and Knowledge Graph Graph analytics is a new field of data analytics that helps businesses leverage their model by adopting a variety of its algorithms to identify the...
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. It is the control of...
Overview of Serverless Computing In the past, when developers wanted to host any of their websites, there was the need for a physical data center where their server would run, which is very bulky and...
Introduction to Edge Computing with 5G Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing...
What is Java and Kotlin? Java is the native language used by Android, applications that communicate with the operating system and directly use the hardware uses it. This language allows the creation...
Overview In the interlinked world of today, when digital technologies penetrate every part of our lives, trust has become a crucial element in determining how we experience the digital world. Users...
What is Zero trust cyber-security? Zero Trust is a cybersecurity strategy that secures an organization by removing implicit trust and continuously validating every stage of digital interaction to...
What is Machine Learning? Machine learning is an area of computer science that allows computers to learn without having to be programmed directly. Machine learning is one of the most fascinating...
Introduction to Cloud Native Applications Applications that are developed and deployed using cloud-based technologies are known as Cloud-Native Applications. They are hosted and managed by the cloud....
What is Cloud Native Observability? Control theory defines "observability" as the ability to determine the internal states and, accordingly, the behavior of a system only by examining its inputs and...
What is Cloud Governance? It is a set of rules. It applies specific policies or principles to the use of computing services. This model aims to secure applications and data even if located distantly....
Introduction to Functional Specification Document It's no secret that you need to have clearly defined processes with frequent checkpoints and checklists for a project to succeed. But what does this...
What is Incident Management? Incident management is a process that helps companies to understand, respond to, and recover from incidents. The software is designed to manage and monitor incidents that...
Introduction to Product Management Roadmap As a product manager, you might be asked to create a roadmap. This document can take many forms, but it's essentially a plan that details the various stages...
Overview of Storage Class in Kubernetes To understand the concept of storage class in kubernetes, first, we need to understand the volume concept in Kubernetes. In simple terms, kubernetes volume is...
Introduction to Kubernetes We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region...
What is Kubernetes Operators? Kubernetes is growing day by day, and now every organization is keen to adopt the containerization technology and it's gone so for that it can quickly deploy the ...
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Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Artificial Intelligence Insights and Use Cases
Benefits of Generative AI in Energy Sector
Benefits of Generative AI in Energy Sector
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
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Deep learning
Neural Networks
Model Visualization
Artificial Intelligence
Deep learning
Assisting organizations to undertake necessary measures at the right time by scanning data faster.
Neural Networks
Analysing data using machine perception, classification, or labelling raw input.
Understand the work procedure of Model Visualization and how it quantifies its impact on the business.
Artificial Intelligence
Get detail information about how AI Adoption changes the way of working for all industries.
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