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Machine Learning Services and Solutions

Enterprise Machine Learning Consulting Solutions.

Machine Learning

Machine Learning Services – Productionizing Models

Machine Learning Services and Development Solutions. To Unlock the Real Value of your Data with operationalizing and Scaling Deep Learning and Machine Learning Models.

We provide 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.

XenonStack offers end to end Machine Learning deployment pipeline and a Platform for MLOps with Automation using Terraform on AWS, Azure, and Google Cloud.

  • Feature Engineering
  • Deep Learning and Machine Learning Pipelines
  •  Model Optimisation and Validation
  • Model Monitoring and Management
  • Customized Machine and Deep Learning Models
  • Model Migration and Integration with Apache Spark
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Enterprise Machine Learning Solutions

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Machine Learning Platform for Training and Validation

Solutions for building Enterprise-grade Machine Learning Platform and future-ready ML-powered applications.

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Cognitive Analytics Solutions

Cognitive Analytics enabled Solutions for facilitating Improved Customer Engagement, Enhanced Decision Making and Efficient Business Processes.

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Anomaly Detection Using Using Deep Learning

Enabling Anomaly Detection Solutions using Unsupervised and Supervised ML techniques to detect anomalies and make predictions from the data.

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Sentiments Analytics Using Deep Learning

Deep Learning enabled Sentiments Analytics solutions for facilitating contextual mining of text, classify data, and understand the social sentiment.

Solutions for Building End-to-End Machine Learning Platform

  • Work Bench For Deep Learning and Machine Learning.
  • Machine Learning Modeling and Algorithm Design
  • Data Science Solution Architecture and Design
  • Knowledge Discovery - Understand Data and Gather maximum Information with Data Mining.
  • Text, Natural Language Processing, Predictive and Statistical Modeling and Analytics.
  • Artificial Neural Networks and Dynamic Bayesian Networks.
  • Cognitive and Prescriptive Intelligence and Analytics.
  • Predictive Intelligence using Artificial Intelligence.
  • From Data to Wisdom - Real Time Data Visualization and Interactive Dashboards.
  • Data Science Proof of Concepts, Use Cases, and Prototypes for Preventive Maintenance, Monitoring, Retail Analytics and Insurance, IoT and HealthCare Analytics.

Machine Learning Development Solutions

Machine Learning as a Service - Google, AWS, Azure, Open Source

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Machine Learning on AWS

Building and Deploying AI and ML Models with Amazon SageMaker

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Machine Learning on Google Cloud

Building Machine Learning Models on Google Cloud with Cloud Machine Learning Engine

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Machine Learning on Azure

Developing Machine Learning Models with Azure Machine Learning Studio

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Open Source Machine Learning Frameworks

Building Machine Learning Models with Open Source frameworks - TensorFlow, Theano and Keras

Machine Learning Platform for Training and Serving

Solution Architecture for Building ML Platform

Explore the Challenges for Building ML Platform