IBM Watson AI Applications | Machine Learning | TechD

Watson Machine Learning: Deploy and Run AI Models

Run machine learning models anywhere, across any cloud with IBM Watson AI Applications. Moreover, the Machine Learning’s open, extensible model operation, helps businesses simplify and harness AI at scale across any cloud. In addition, IBM Watson AI Applications with Machine Learning helps data scientists and developers accelerate AI and machine learning deployments. Also, you can bring open source AI projects into production, learning models anywhere, and across any cloud. The Machine Learning capabilities help you for the following:

Deploy models built with IBM Watson Studio and other open-source tools
Retrain established models
Generate APIs automatically and build AI-powered applications
Integrate with IBM Watson OpenScale to manage models
Easy-to-use interface helps streamline your end-to-end model management and deployment
Get consistency and repeatability for your end-to-end AI Lifecycle management with AutoAI.
IBM Machine learning framework delivers easy deploying, and infrastructure management
Get the most from your favorite data science tools – open source, IBM SPSS Modeler, or Watson Studio.

Choose the IBM Watson AI Applications with Machine Learning deployment option that’s perfect for your company.

Watson Machine Learning Server – Easily deploy your model in a lightweight single-node server, on-premises, or in any cloud.
Watson Machine Learning Local – Bring machine learning (ML) models into production at scale across any cloud and on-premises.
IBM Cloud Pak for Data – Infuse AI on an open, fully integrated data and AI platform to manage and analyze data.
Watson Machine Learning on IBM Cloud – Get IBM decision optimization and open source projects in a fully managed IBM Cloud service.
Watson Assistant: Intelligent virtual agent – With IBM Watson AI Assistant chatbot organizations can automatically solve customer problems and resolve issues the first time, across any channel.

Moving beyond experimentation and maintaining production-level accuracy of AI models are still big challenges. As a result, IBM Watson Machine Learning accelerates time to value of any models. For instance, organizations expect projected increased return on Watson investment year after year. Above all, trust TechD certified and expert team to quickly implement and integrate IBM Watson AI to your existing IT platform.

Related Products and Offerings

IBM Watson Studio

IBM Watson Studio provides tools to work more easily and collaboratively with data to build and train models at scale. It gives you the flexibility to build models where your data resides and tp deploy anywhere in a hybrid environment, so you can operationalize data science faster.

IBM Watson Visual Recognition

IBM Watson Visual Recognition uses deep learning algorithms to analyze videos and images for scenes, objects and faces via Watson APIs. It helps accelerate time to results using pretrained models with visual content.

IBM Cloud Pak for Data

IBM Cloud Pak™ for Data helps you collect, organize and analyze data with a multicloud platform. It creates a trusted analytics foundation that makes data easier to access and enables you to scale insights on demand with AI.

IBM Decision Optimization

IBM Decision Optimization provides tools that use mathematical and computational sciences to help data scientists optimize machine-learning decisions. Decision optimization models can now be more easily deployed as a service inside Watson Machine Learning.

Watson-Assistant-Build-a-Virtual-Assistant-to-Deliver-Better-Customer-Service-and-Lower-Cost-TechD.png

Watson Assistant: Intelligent virtual agent

IBM Watson AI Assistant chatbot organizations can automatically solve customer problems and resolve issues the first time, across any channel.

IBM Watson OpenScale

IBM Watson OpenScale tracks and measures outcomes from AI across its lifecycle and adapts and governs AI to changing business situations — for models built and running anywhere.

IBM SPSS Modeler

IBM SPSS Modeler empowers an enterprise to use drag and drop data science to accelerate time to value for production-scale models.

IBM Watson Studio Desktop

Watson Studio Desktop helps anyone get started with model build and deployment from the desktop — anytime, anywhere.

Watson Machine Learning Features

AutoAI: AI lifecycle management

Gain consistency and repeatability of end-to-end AI lifecycle management with AutoAI.

One-click deployment

When you are ready, save and select services to deploy. Get started with experimentation, evaluation and deployment.

Model Operations

Use a machine learning framework for saving, deploying and versioning models, and for deployment of infrastructure management.

Integrated UI end-to-end

Automate data prep, advanced data refinery and model explainability with Watson Studio and Watson Machine Learning.

Deploy any model at scale

Bring your favorite data science tools – open source, IBM SPSS® Modeler or Watson Studio.

Dynamic retraining

Enable continuous learning and automatically retrains your model to maintain model quality.

What our own TechD Experts say

“It’s a very exciting product. You have a lot of things that a lot of different companies are doing, molded into one technology suite.”

Jane Doe, Job Title

“What makes it especially attractive is that it enables us to develop and deploy new models quickly that brings AI to the data, rather than the other way around.”

John Doe, Job Title

“It’s a very exciting product. You have a lot of things that a lot of different companies are doing, molded into one technology suite.”

Jane Doe, Job Title

“With IBM Cloud Private for Data, IBM has pre-integrated capabilities that allow clients to be productive in a week or less.”

IBM Watson Machine Learning

Make your data ready for AI

Watson Machine Learning: Deploy and Run AI Models

Choose the IBM Watson AI Applications with Machine Learning deployment option that’s perfect for your company.