Azure Machine Learning
We’ve supported 4,000+ clients including:
What is Azure Machine Learning?
Prepare data, develop experiments, and deploy models at scale
Azure Machine Learning is a comprehensive cloud service that allows business leaders to build, train, and deploy cutting-edge machine learning models. With Azure Machine Learning, you can leverage the power of artificial intelligence to solve complex business problems, streamline operations, and accelerate innovation.
Drive efficiency and innovation with Azure Machine Learning
Azure Machine Learning automates processes, improves decision-making through data-driven insights, and provides a secure, scalable platform that enables organizations to address key business challenges and capitalize on new opportunities. With access to these tools at their fingertips, businesses can now enjoy:
Accelerated Time-to-insight
Quickly extract actionable insights from your data, enabling faster strategic decision-making.
Optimized Operational Efficiency
Streamline and automate business processes to enhance efficiency and reduce operational costs.
Enhanced Customer Experience
Utilize predictive analytics to understand customer behavior and personalize interactions.
Stronger Security
Benefit from Azure’s scalable cloud infrastructure, ensuring data security and compliance with industry standards.
6 Change management strategies for digital transformation
Discover six change management strategies to support your digital transformation projects and nurture a culture that actively embraces change.
Advanced tools for end-to-end machine learning with Azure
From automated model training and hyperparameter tuning to advanced security and seamless integration with other Azure services, Azure Machine Learning provides all the tools necessary to build, deploy, and manage high-quality machine learning models, including:
Prepare Data
Prepare data efficiently using tools for cleaning, transformation, and integration with Azure data services to ensure high-quality inputs for machine learning models​.
Feature Store
Manage features in a centralized repository to ensure consistency and reuse across different models, supporting both real-time and batch serving.
AI Infrastructure
Utilize scalable compute resources including CPU, GPU, and FPGA, with support for distributed training frameworks to handle complex machine learning tasks​.
Automated Machine Learning
Automate model selection and hyperparameter tuning to simplify the machine learning process and enhance model performance with minimal manual effort.
Model Catalog
Store and manage models centrally to streamline versioning, deployment, and monitoring across different environments.
Responsible AI
Ensure fairness and transparency in AI models by providing tools for bias detection, model interpretability, and compliance with legal standards​.
Prompt Flow
Orchestrate AI workflows with tools for designing, managing, and optimizing AI processes, integrating seamlessly with other services​.
Managed Endpoints
Deploy and manage models with scalable, secure endpoints that offer autoscaling and compliance with industry standards for real-time or batch inference​.
Why choose Velosio as your Microsoft Partner?
No partner has as rich of a history in the Microsoft ecosystem as Velosio. We are a Global ISV Development partner capable of building, connecting, implementing, and supporting the entire Microsoft stack from Office 365 to the entire Business Application Cloud Suite.
By partnering with Velosio you can ensure:
Industry Expertise
Velosio’s seasoned advisors specialize in midmarket companies, ensuring tailored solutions that address specific industry needs. This gives us a unique edge in the ability to provide insights and strategies that drive real results.
Cloud Applications Leadership
As a leading cloud applications partner, Velosio empowers businesses to leverage cloud technology effectively. Whether it’s Dynamics 365, Azure, or Office 365, Velosio guides clients toward competitive advantages.
Transformative Solutions
Velosio’s deployment models swiftly guide clients to the right solution, helping them maximize their technology investments. From ERP to CRM, Velosio ensures that businesses stay ahead in today’s dynamic market.
Your Success is Our Focus
You won’t find a partner with people more passionate about making their clients into heroes. Velosio attracts the most experienced consultants and technologists around who go beyond implementation. Our team is dedicated to helping you unlock the full potential of Azure Machine Learning.
Our latest recognitions
Whether you’re curious about our software solutions, services, or support, we’re ready to answer all your questions.
Azure Machine Learning pricing
Azure Machine Learning offers flexible pricing options to cater to different needs, with three options available:
- Pay as you go: Pay for compute capacity by the second, with no long-term commitments or upfront payments. Increase or decrease consumption on demand.
- Azure savings plan for compute: Save money across select compute services globally by committing to spend a fixed hourly amount for 1 or 3 years, unlocking lower prices until you reach your hourly commitment. Suited for dynamic workloads while accommodating for planned or unplanned changes.
- Reservations: Azure Reserved Virtual Machine Instances provide significant cost reduction, compared to pay-as-you-go rates, when you commit to one-year or three-year terms. Suited for stable, predictable workloads with no planned changes.
For more detailed pricing on Azure Machine Learning and to customize your cost estimates, speak with one of our experts here at Velosio.
Limited-time offer: Save 10% or more on your Azure cloud costs with Velosio’s Azure Cost Confidence
Are you surprised by your monthly Azure bill? You’re not alone. Many companies waste money on underutilized resources or inefficient configurations. Velosio can help you uncover hidden savings and optimize your Azure spending with Velosio’s Azure Cost Confidence.
First 25 Qualified Candidates Only!
Claim Your Savings
Some of our experts
Azure Machine Learning frequently asked questions
Can I use my existing machine learning models with Azure Machine Learning?
How can I monitor and manage my machine learning models in production?
What deployment options are available with Azure Machine Learning?
What if I want to add additional Microsoft solutions?