Hybrid machine learning products build intelligent applications that can study and leverage data to advance and improve their capabilities over time.
Hybrid analytics is the scientific process of discovering and communicating the meaningful patterns which can be found in data.
Hybrid compute refers to activities, apps, or workloads that require more processing resources than memory or I/O resource requirements.
Containers are executable units of software where application code is packaged so that it can be run anywhere, including hybrid platforms.
Businesses are looking to leverage modern platforms for the secure delivery of virtual desktops and apps on a hybrid platform.
Identity management (IdM) is a framework of policies for ensuring that the right people have access to resources on the cloud.
IT governance determines the strategic direction for an organization, which is then implemented by the company's management arm.
Data migration is the process of transferring data from one storage system or computing environment to another, such as a hybrid platform.
The overall role of MDM is to increase device supportability, security, and corporate functionality while maintaining some user flexibility.
A computer network consists of two or more computers that transmit, exchange, or share data and resources on a hybrid platform.
IT security is a set of cybersecurity strategies that prevent unauthorized access to important assets such as computers, networks, and data.
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