Dive Into the New Age of AI
Our Services
Cloud Analytics Modernization
The cloud migration process shifts data, applications and other business elements from a company's computers to the cloud, where virtual pools of shared on-demand resources are provided on a large scale for computing, storage, networking and services. We can help avoid most common cloud-related pain points in the migration process, especially those related to security.
We do
- Migration & Data delivery by SLA
- Design data warehouse, data lake and lakehouse
- Build dashboards and reports
AI & Data Science Acceleration
In MLOps, machine learning operations focus on modeling cataloging, version control, orchestration calculation and planning and include feature engineering, hyperparameter optimization, inferences and the use of models and inferences. This approach is based on the principles of collaboration and the success of DevOps development, where IT engineers work agile in tandem. This new discipline has branches that work with Data engineers and data scientist to drive machine learning, data management, and artificial intelligence.
ModelOps is an extension of MLOps that helps organizations work with third-party AI models built into enterprise applications to improve decision-making by utilizing tools such as knowledge charts, control motors and new optimization algorithms. Like MLOPS, ML Ops is a set of practices that aim to use machine learning models in production and maintain them.
We Integrate With Modern Data & AI Technology Platforms
At Quanteroun, we design, deliver and manage any integrations using innovative with AI, data & analytics, and modern platforms