Machine Learning
A comprehensive machine learning development process that helps you design, build, test, and manage ML-powered software that can be reproduced, tested, and evolved.
90%
of AI models never reach production. There are many reasons why companies can’t deploy AI models and realize the value of their investment. We are here to help you. Stop trying and start deploying.
Our Offerings
We offer services to operationalize machine learning (ML) and deep learning (DL) models and run them through a repeatable, automated workflow that deploys them to production. Our services include processes and platforms for deep learning and machine learning model development.
Dataiku
Dataiku is the all-in-one data science and machine-learning platform that brings everyone together to drive transformative business impact. We offer implementation and integration services for you to implement Dataiku into your business. Our services include:
- Dataiku Implementation Services
- Infrastructure Migration Services
- Adoption and Value Realization Services
- DataFab Services
Amazon SageMaker
Amazon SageMaker is a fully managed ML service built by AWS that allows you to build, train, debug, and deploy your models at scale. Machine learning models can be built, trained, and deployed using SageMaker’s modules. For your business, we offer implementation and consulting services for Amazon SageMaker.
- Amazon SageMaker Implementation Services
- Amazon SageMaker Migration Services
- Adoption and Value Realization Services
- Consulting and Advisory Services
Amazon SageMaker
Build Model
Deploy Service
Train & Test Model
Register
and Marriage
Model
Build Image
MLOps
Operational Support
DevOps
Machine
Learning
Engineered
MLOps
Machine learning operations (ML Ops) involve the creation of new machine learning (ML) and deep learning (DL) models and deploying them through an automated, repeatable workflow. Data science teams can use an ML Ops pipeline for various services, including version control, continuous integration and continuous delivery (CI/CD), model service catalogs, infrastructure management, live model performance monitoring, security, and governance. We help you focus on innovation while we deploy your AI models and create value for your business.
Our Process
We enable AI-first enterprises by driving intelligent automation with machine learning. We help you unlock the real value of data by operationalizing and scaling machine learning and deep learning models. We are your partner in implementing brand new infrastructure or migrating legacy infrastructure to next-gen fully automated ML infrastructure.
Model Selection
Data Ingestion
ML Pipelines Automation
Visualization & Monitoring
Inference
Deployment
Model Testing
Insights from our experts
Analyzing ROI for an AI-First Enterprise
Everyone is jumping on the bandwagon to bring artificial intelligence (AI) and machine learning (ML) to the enterprise.
Revolutionizing Customer Expectations with ChatGPT
Everyone is jumping on the bandwagon to bring artificial intelligence (AI) and machine learning (ML) to the enterprise.
Let's Turn Your Big Issue into a Bright Idea
Whatever your challenge, we would love to talk to you about it