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IBM Watson Studio is a cognitive development tool that allows you to incorporate existing data assets into the Watson platform, create custom models using machine learning, create new services using cognitive APIs and support natural language interfaces in applications, as well as analyse, visualise and interpret data.
Watson Studio is offered as part of the IBM Cloud Pak for Data tools.
The product is designed to reduce the complexity of building and managing conversational AI applications, enabling you to build and scale AI solutions for the enterprise.
It enables the creation and management of applications for any industry, such as healthcare, retail or financial services.
IBM Watson Studio includes two main features:
Oracle NetSuite is one of the most widely used ERPs. It comprises comprehensive functionality with specific support for all sectors. NetSuite is designed to work in the cloud, and includes mobile and social functionalities.
The NetSuite user interface includes business intelligence, with real-time analytics, reporting and key performance indicators.
The design of this ERP is particularly e-commerce and customer-focused.
Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
SageMaker also has a library of machine learning tools that you can use without having to install any other software. Cloud service features include:
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