Abstract: In an embodiment, a method provides an environment for privately exchanging data for AI tasks. Identification of a task to perform, and a characteristic describing data needed to execute the task, is received. A data provider within the environment is located that has access to a data set according to the characteristic. A task provider within the environment is located. The located task provider is configured to execute the task. A real-time, private, and secure network connection between the data provider and the task provider is established. The established connection is configured such that the data provider and the task provider are able to communicate via the network connection without using publicly accessible network addresses. The data set is transferred from the data provider to the task provider via the established network connection. In response to the transfer, the task provider executes the task using the data set.

Abstract: A hosting system to facilitate connecting to multiple cloud providers may comprise a first cloud exchange; a second cloud exchange; one or more cloud point-of-presence (PoPs) communicatively coupled to the first and second cloud exchanges; a software-defined network (“SDN”) automation engine; a data collection layer; an artificial intelligence (AI) layer comprising one or more AI modeling engines configured to deploy one or more AI models; and a non-transitory computer readable medium comprising computer program instructions that when executed by a processor cause the system to generate a real-time conversational agent (a “chat-bot”), display the chat-bot on a user device, receive input comprising network specification parameters via the chat-bot, convert the input into one or more commands, generate a customized, on-demand SDN that complies with the network specification parameters, capture and model user data and network data, and automatically initiate one or more actions responsive to the modeling.

Abstract: In an embodiment, a method provides an environment for privately exchanging data for AI tasks. Identification of a task to perform, and a characteristic describing data needed to execute the task, is received. A data provider within the environment is located that has access to a data set according to the characteristic. A task provider within the environment is located. The located task provider is configured to execute the task. A real-time, private, and secure network connection between the data provider and the task provider is established. The established connection is configured such that the data provider and the task provider are able to communicate via the network connection without using publicly accessible network addresses. The data set is transferred from the data provider to the task provider via the established network connection. In response to the transfer, the task provider executes the task using the data set.

Abstract: In an embodiment, a method provides an environment for privately exchanging data for AI tasks. Identification of a task to perform, and a characteristic describing data needed to execute the task, is received. A data provider within the environment is located that has access to a data set according to the characteristic. A task provider within the environment is located. The located task provider is configured to execute the task. A real-time, private, and secure network connection between the data provider and the task provider is established. The established connection is configured such that the data provider and the task provider are able to communicate via the network connection without using publicly accessible network addresses. The data set is transferred from the data provider to the task provider via the established network connection. In response to the transfer, the task provider executes the task using the data set.

Abstract: A hosting system to facilitate connecting to multiple cloud providers may comprise a first cloud exchange; a second cloud exchange; one or more cloud point-of-presence (PoPs) communicatively coupled to the first and second cloud exchanges; a software-defined network (“SDN”) automation engine; a data collection layer; an artificial intelligence (AI) layer comprising one or more AI modeling engines configured to deploy one or more AI models; and a non-transitory computer readable medium comprising computer program instructions that when executed by a processor cause the system to generate a real-time conversational agent (a “chat-bot”), display the chat-bot on a user device, receive input comprising network specification parameters via the chat-bot, convert the input into one or more commands, generate a customized, on-demand SDN that complies with the network specification parameters, capture and model user data and network data, and automatically initiate one or more actions responsive to the modeling.